Data & Analytics

Data & Analytics

Glocomms:A specialistData & Analyticstalent partner

The future of Data & Analytics is here, and it’s changing the way businesses hire and job seekers find employment. With the right data and analytics tools, businesses can now make informed decisions when it comes to hiring and employee development.

At Glocomms, we specialize in providing top-tier data and analytics talent on a permanent or freelance/contract basis. Our experienced consultants have a deep understanding of the Google Cloud data and analytics industry and can help you find the perfect candidate to meet your specific needs. Whether you're looking for a permanent employee with expertise in data warehousing, data engineering, machine learning, or data analysis, or a freelancer to help with a short-term project, we can help you find the right fit quickly and efficiently.

Glocomms is committed to providing the tools and insights that will help both employers and job seekers find the right fit. With our data and analytics solutions, businesses can find the best talent for their team and job seekers can find the right career path.​

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Benefits of working with us

Our Data & Analytics recruitment specialists support growing technology businesses source the right go-to-market strategy talent, manage the recruitment process and facilitate onboarding. With multi-lingual language support, we provide international recruitment expertise to secure business-critical talent across Europe.

Our recruitment benefits

Experience

We have a decade’s worth ofData & Analyticsexperience as a leading talent partner in Technology.

Network

A vast, global network of the best, in-demandData & Analyticstalent.

Knowledge

Our award-winning talent specialists offer bespoke, tailored guidance on the latest hiring trends.

At Glocomms, we are dedicated to cultivating enduring alliances grounded in trust, honesty, and shared prosperity. Our commitment lies in delivering customized solutions that align with your distinct demands, granting adaptable alternatives to match your Data & Analytics recruitment preferences. Whether you seek swift placement for pivotal roles or aspire for strategic talent acquisition solutions, our arsenal of resources and proficiency ensures successful outcomes. Share your vacancy with us today.

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Data & Analytics Jobs

With the rise of big data and the Internet of Things (IoT), the volume, variety, and velocity of data are set to exponentially increase. At Glocomms, we comprehend these evolving needs and are committed to connecting you with the right Data & Analytics career opportunities.

Associate Database Admin | Hedge Fund | Boston, MA | Hybrid

Are you prepared to be part of an elite financial powerhouse, driven by quantitative expertise and a technology-forward approach, with a remarkable $170 billion in assets under management (AUM)? My Client's is committed to developing to cutting-edge financial strategies and groundbreaking technology sets them apart as a leader in the field, while their dedication to greenfield development fuels their drive for continuous innovation. Join their in Boston, where we redefine the landscape of asset management. They are actively searching for an Associate SAL Database Admin of exceptional skill and experience to integrate into their dynamic team. As an Assocaite Databaase Admin, your role will be pivotal in upholding and extending their data infrastructure. Your expertise will ensure uninterrupted operations and facilitate strategic enhancements, driving us closer to our ambitious goals. Responsibilities: Investigate, design, and implement solutions to enhance our data platforms. Automate processes, aligning with our existing infrastructure using tools like PowerShell, Python, and Ansible. Provide cross-training to other operations engineers as required. Provide technical leadership and mentorship to the data engineering team, guiding them in best practices, architectural decisions, and efficient implementation. Architect, design, and develop high-performance and scalable data platforms, ensuring data integrity, security, and reliability. Utilize your proficiency in Python to create data processing pipelines, data integration solutions, and automation tools. Integrate data platforms with Power BI to provide insightful data visualizations and reports for business stakeholders. Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 3+ years of relevant experience in implementing and managing SQL Server installations. Expert-level understanding of disaster recovery, high availability, query performance, indexing, compression, remote queries, and engine functionality. Familiarity with data virtualization, specifically Delphix. Proficiency in Microsoft technologies such as Windows, Windows Server, Active Directory, and Kerberos Authentication. Experience with troubleshooting tools like SQL Sentry or similar diagnostic tools, DMVs, tracing, and extended events. Ability to work independently, prioritize competing issues effectively, and bring assigned tasks to resolution or escalate as needed. Excellent communication skills, fostering relationships within and across teams, building trust amongst peers through strong job performance. Plus: Experience with AWS, particularly RDS Postgres, Athena, S3, Lambda, and Step Functions. Knowledge of GitLab pipelines, Ansible Tower, Terraform, PowerShell, and Python would be advantageous. Apply your expertise to help my client push the boundaries of data engineering and create innovative solutions in a collaborative and vibrant environment. Don't miss this opportunity to make a real impact with cutting-edge technologies!

Negotiable
Boston
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Data Analyst

A beloved local Atlanta construction company is seeking a highly knowledgeable Data Analyst to augment their team. The ideal candidate will have experience building models and dashboards to facilitate data analysis and decision making and actively provide insight to drive solutions to business challenges. The business is eager to hire self-starters who are comfortable and work well in a team. Responsibilities: Work with key stakeholders to understand pain points and design essential models to drive decisions. Analyze and offer optimization options for existing data collection processes. Work directly with Management and the IT Team members to assist others in building visual dashboards and reporting solutions that provide meaningful insight to operational trends. Develop clear visualizations to convey complicated data in a straightforward fashion. Qualifications: 3- 5 years experience in data mining, advanced analytics and problem solving. Bachelor's in Statistics, Applied Mathematics, Data/Computer Science, Economics or related fields. General knowledge of data warehouse structures a plus! If you are an experienced Data Analyst looking to break into a new space and learn new skills, please don't hesitate to apply!

Negotiable
Atlanta
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Data Scientist

A leading Social Media and Entertainment company is looking to add a Lead Data Scientist to support their new eCommerce platform. In this role, you will lead a small team in establishing analytics frameworks, identifying opportunities to enhance user experience, and generally working to sustainably grow a new platform positioned to disrupt the global eCommerce space. Requirements: Proficiency in Python, R, and SQL Strong prior experience with product focused A/B testing Exceptional communication skills and business intelligence Master's Degree or above in relevant field If you are interested in being a key contributor to the success of a next generation eCommerce platform, please apply today!

Negotiable
San Jose
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Tech Lead - Sr. Machine Learning Engineer

Glocomms is partnering with a household name tech company looking to hire a Senior Machine Learning Engineer for their Ads Engineering and Monetization Technology team. They are searching for a passionate, self-driven Tech Lead to enhance their team, driving innovation and large-scale projects. In this role you will: Develop and own key targeting components of the brand's ads monetization ecosystem Actively aid in the building of a large-scale Ads system Facilitate and own the development of applied machine learning projects Consult with product and business teams on product vision Key Qualifications: 6 + years experience in and sound theoretical grounding in machine learning concepts and techniques Experience in one or more following frameworks: MXNet/Tensorflow/PyTorch, etc. Impeccable optimization, programming, and debugging skills in at least one of the general purpose programming languages (Go, C/C++, Python) Preferred experience: ads systems, recommendation, searching, ranking, etc. BS / MS degree in Computer Engineering, Computer Science, or other relevant majors Benefits: 401K Medical, Dental, and Health If you are a Senior Machine Learning Engineer energized by fast-paced high value high impact environment, do not hesitate to apply!

US$200000 - US$350000 per year
San Jose
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Machine Learning Engineer, Ads & Monetization

What You'll Do: -Development a large-scale Ads system -Responsible for the state-of-the-art applied machine learning projects -Own components or strategies in ads monetizing ecosystem -Collaborate with product & business teams on product vision. Requirements - BS/MS degree in Computer Science, Computer Engineering, or related fields - 4+ years of experience machine learning concepts and techniques. Building modes from end-to-end - Excellent coding skills in the following programming languages, including but not limited to: Go, C/C++, Python - Experience in one or more of the following frameworks: Tensorflow/PyTorch/MXNet, etc - Ability to think critically and to formulate solutions to problems in a clear - Preferred experience: ads system, recommendation, searching, ranking, etc.

US$180000 - US$260000 per year
San Jose
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Analyste contrôle IT

Je fais appel à mon réseau car je recherche actuellement 2 Analystes Contrôle IT pour rejoindre une mission longue durée au sein d'une grande banque française ASAP ! 2 analystes de l'équipe auront complété leur contrat ce mois-ci et nous avons besoin de 2 nouveaux analystes pour les remplacer. Rôle : Analyste du contrôle informatique Date de début : dès que possible Durée du contrat : 12 mois renouvelable (3 ans au total) Localisation : Ouest de l'Ile-de-France Travail sur site : 3 jours par semaine Connaissances et compétences : Processus global de production informatique : Compréhension du processus de production informatique de bout en bout, y compris l'infrastructure, les applications et les flux de données. ITIL (Bibliothèque d'Infrastructure Informatique) : Familiarité avec les meilleures pratiques d'ITIL pour la gestion des services informatiques, y compris la gestion des changements, la gestion des incidents et la gestion des actifs. Excel : Excellente maîtrise de Microsoft Excel pour l'analyse, la manipulation et la génération de rapports de données. Une expérience antérieure dans le contrôle informatique, l'audit informatique ou un domaine connexe est très souhaitable. Expérience de l'examen des contrôles quotidiens et de la surveillance des processus informatiques pour la conformité. Expérience dans l'examen des conclusions de contrôle et des preuves avec d'autres membres de l'équipe, des contrôleurs ou des auditeurs.

€400 - €600 per day
Tremblay-en-France
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Sr. Ecommerce Data Scientist

Sr. E-Commerce Data Scientist Salary: $200,000 - $300,000 Summary Glocomms has recently partnered with a leading global tech company offering highly exciting, collaborative opportunities with massive possibility for career growth. They are urgently seeking a highly passionate data science to join their e-commerce team in Seattle. You will play a key role in building their core team, as well as implementing design solutions through data driven insights to problems around marketplace efficiency and supply and user growth. You will be at the forefront of development as this group builds a brand-new e-commerce experience. Responsibilities Drive operational improvement and business growth through thoughtful and data driven insights Optimize overall business performance by leveraging key stakeholders Solve commerce operation and product problems through data science expertise such as marketplace efficiency, supply growth, and user growth Offer improvements to align with business goals The E-Commerce Data Scientist should have the following qualifications: At Least 3 years working experience in data science - bachelor's degree in quantitative field statistics is preferred Expertise in modeling, optimization, or casual inference Proficient in R, Python, or SQL Online marketplace or e-commerce experience strongly preferred Benefits 401K Medical, Dental, and Health

US$200000 - US$300000 per year
Seattle
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Data Scientist

An established bio energy and carbon capture firm is seeking a Data Scientist to help realize the future of clean and sustainable energy. Bio energy with carbon capture and storage (BECCS) is the process of capturing and permanently removing carbon dioxide from the atmosphere while producing clean energy generated through organic matter. As a Data Scientist, you will contribute to this process by helping to optimize supply chains, forecasting market trends, and engaging with internal stakeholders. Who You Are: Master's degree or Ph.D. holder with 3+ years of Data Science experience (background in energy or manufacturing preferred) Excellent verbal and written communication skills Energized, dynamic, and eager to face new challenges Passionate about sustainable energy and climate preservation Currently based in or willing to relocate to one of the following states: Arkansas, Mississippi, Louisiana, Alabama, Texas Required Skills: Strong working knowledge of Python, SQL, and R Familiarity with Azure/AWS (Preference for Databricks and Sagemaker respectively) Proficient with ML and statistical modeling methods Experience visualizing data using Tableau, PowerBI, or Grafana If you are looking to join a dynamic mission driven firm working to make a tangible impact, please apply today!

Negotiable
Texas
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IAM - PLM Roles Analyst

4 Remote Freelance Vacancies across 3 IAM/PLM Roles Functional roles. Customer Details Our customer is one of the world's Biggest Human Resource and Payroll solution companies, they provide online services for 1000's of customers around the world. Client offers a great opportunity for a long-term engagement, when you finish on this project, if they have the availability, they will propose you for another project. We have been partners with this client for over 5 years. We work with them all across Europe, and have consultant working within the team at present. ROLE ONE Role: IAM - PLM Roles Analyst Start: 11/09 Location: Nanterre Languages: English & French (must have good English) Profile: Technical & Functional (Senior) Duration: 10 months Help build business Roles and all associated data, rules including access bundling rules, and processes and progresses to Automated Roles Review current business/enterprise roles providing recommendations and creation of new roles Recommend improvements and remediation for associated projects or current internal processes Partner with stakeholders across business units to develop analysis and document in a collaborative way, communicating effectively and efficiently ROLE TWO Role: IAM - PLM Analyst x2 Start: 11/09 Location: nanterre Languages: English & French (must have good English) Profile: Functional (Senior) Duration: 10 months Work directly with application managers and technical teams to gather requirements and information on application data through surveys, reviews, information gathering sessions and walkthroughs. Partner with stakeholders across business units to develop analysis and document in a collaborative way, communicating effectively and efficiently Identify and resolve gaps in the business processes which may include security/authorization set-up, documentation, application data, and reconciliation Review/analyze application data to ensure processes meet defined policies and comply with information security requirements; analyze data to provide insights and recommendations Recommend improvements and remediation for associated projects or current internal processes Performs documentation writing and maintenance of existing processes and procedures as well as creation of new process and procedures ROLE THREE Role: IAM - PLM Data Analyst Start: 11/09 Location: Nanterre Languages: English & French (must have good English) Profile: Technical & Functional (Senior) Duration: 10 months Review/analyze application data to ensure processes meet defined policies and comply with information security requirements; analyze data to provide insights and recommendations Utilize PowerBI, create dashboards to report on KPIs/KRIs Recommend improvements and remediation for associated projects or current internal processes Use automated tools to extract data from primary and secondary sources Removing corrupted data and fixing coding errors and related problems Developing and maintaining databases Performing analysis to assess the quality and meaning of data Prepare reports on trends, patterns, and predictions using relevant data Get in Touch! Ryan.Peltz(@)Glocomms.com +44 207 019 4108

€500 - €750 per day
France
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Data Scientist

Bonjour to my French Network! I have a new opportunity for the Data Enthusiasts. Position: Data Scientist Location: Paris, France Start Date: October Contract Duration: 4 years Language Required: French & English About the Company: My client is a Global Bank dedicated to leveraging data-driven insights to revolutionize the Banking Industry. We are seeking a highly skilled and motivated Data Scientist to join our team in Paris, France. As a Data Scientist, you will play a pivotal role in shaping the future of our data initiatives and contribute to innovative projects that rely on your expertise in Large Language Models, Elasticsearch, Kafka, and SQL. Responsibilities: Collaborate with cross-functional teams to identify and understand business challenges that can be addressed using data-driven approaches. Design and implement end-to-end data solutions that involve data extraction, transformation, loading, analysis, and visualization. Develop and fine-tune Large Language Models (LLMs) to extract valuable insights from unstructured data sources. Implement and optimize data pipelines using Kafka for real-time data streaming and processing. Utilize Elasticsearch to build robust search and analytics systems for large-scale data sets. Develop and maintain SQL-based solutions for querying and analyzing structured data. Perform exploratory data analysis to discover trends, patterns, and anomalies in the data. Collaborate with Data Engineers and Internal Clients to ensure the availability, reliability, and scalability of data pipelines and systems. To apply or inquire further about the position, please contact Chris Bonsu at or +44 20 3758 8867

Negotiable
Paris
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IAM - PLM Analysts x4 - REMOTE OPPORTUNITY

4 Remote Freelance Vacancies across 3 IAM/PLM Roles Functional roles. Customer Details Our customer is one of the world's Biggest Human Resource and Payroll solution companies, they provide online services for 1000's of customers around the world. Client offers a great opportunity for a long-term engagement, when you finish on this project, if they have the availability, they will propose you for another project. We have been partners with this client for over 5 years. We work with them all across Europe, and have consultant working within the team at present. ROLE ONE Role: IAM - PLM Roles Analyst Start: 11/09 Location: Nanterre Languages: English & French (must have good English) Profile: Technical & Functional (Senior) Duration: 10 months Help build business Roles and all associated data, rules including access bundling rules, and processes and progresses to Automated Roles Review current business/enterprise roles providing recommendations and creation of new roles Recommend improvements and remediation for associated projects or current internal processes Partner with stakeholders across business units to develop analysis and document in a collaborative way, communicating effectively and efficiently ROLE TWO Role: IAM - PLM Analyst x2 Start: 11/09 Location: nanterre Languages: English & French (must have good English) Profile: Functional (Senior) Duration: 10 months Work directly with application managers and technical teams to gather requirements and information on application data through surveys, reviews, information gathering sessions and walkthroughs. Partner with stakeholders across business units to develop analysis and document in a collaborative way, communicating effectively and efficiently Identify and resolve gaps in the business processes which may include security/authorization set-up, documentation, application data, and reconciliation Review/analyze application data to ensure processes meet defined policies and comply with information security requirements; analyze data to provide insights and recommendations Recommend improvements and remediation for associated projects or current internal processes Performs documentation writing and maintenance of existing processes and procedures as well as creation of new process and procedures ROLE THREE Role: IAM - PLM Data Analyst Start: 11/09 Location: Nanterre Languages: English & French (must have good English) Profile: Technical & Functional (Senior) Duration: 10 months Review/analyze application data to ensure processes meet defined policies and comply with information security requirements; analyze data to provide insights and recommendations Utilize PowerBI, create dashboards to report on KPIs/KRIs Recommend improvements and remediation for associated projects or current internal processes Use automated tools to extract data from primary and secondary sources Removing corrupted data and fixing coding errors and related problems Developing and maintaining databases Performing analysis to assess the quality and meaning of data Prepare reports on trends, patterns, and predictions using relevant data

€500 - €750 per day
France
Apply

IAM - PLM Analysts x4

4 Remote Freelance Vacancies across 3 IAM/PLM Roles Functional roles. Customer Details Our customer is one of the world's Biggest Human Resource and Payroll solution companies, they provide online services for 1000's of customers around the world. Client offers a great opportunity for a long-term engagement, when you finish on this project, if they have the availability, they will propose you for another project. We have been partners with this client for over 5 years. We work with them all across Europe, and have consultant working within the team at present. ROLE ONE Role: IAM - PLM Roles Analyst Start: 11/09 Location: Nanterre Languages: English & French (must have good English) Profile: Technical & Functional (Senior) Duration: 10 months Help build business Roles and all associated data, rules including access bundling rules, and processes and progresses to Automated Roles Review current business/enterprise roles providing recommendations and creation of new roles Recommend improvements and remediation for associated projects or current internal processes Partner with stakeholders across business units to develop analysis and document in a collaborative way, communicating effectively and efficiently ROLE TWO Role: IAM - PLM Analyst x2 Start: 11/09 Location: nanterre Languages: English & French (must have good English) Profile: Functional (Senior) Duration: 10 months Work directly with application managers and technical teams to gather requirements and information on application data through surveys, reviews, information gathering sessions and walkthroughs. Partner with stakeholders across business units to develop analysis and document in a collaborative way, communicating effectively and efficiently Identify and resolve gaps in the business processes which may include security/authorization set-up, documentation, application data, and reconciliation Review/analyze application data to ensure processes meet defined policies and comply with information security requirements; analyze data to provide insights and recommendations Recommend improvements and remediation for associated projects or current internal processes Performs documentation writing and maintenance of existing processes and procedures as well as creation of new process and procedures ROLE THREE Role: IAM - PLM Data Analyst Start: 11/09 Location: Nanterre Languages: English & French (must have good English) Profile: Technical & Functional (Senior) Duration: 10 months Review/analyze application data to ensure processes meet defined policies and comply with information security requirements; analyze data to provide insights and recommendations Utilize PowerBI, create dashboards to report on KPIs/KRIs Recommend improvements and remediation for associated projects or current internal processes Use automated tools to extract data from primary and secondary sources Removing corrupted data and fixing coding errors and related problems Developing and maintaining databases Performing analysis to assess the quality and meaning of data Prepare reports on trends, patterns, and predictions using relevant data

€500 - €750 per day
France
Apply

Data & Analytics News & Insights

Demand in Data: Exploring the talent challenges and opportunities in the data & tech industry Image
data-analytics

Demand in Data: Exploring the talent challenges and opportunities in the data & tech industry

The global data analytics market is estimated to be valued at $41.5 billion in 2023 and is projected to expand at a CAGR of 30.4% to $345.5 billion by 2028.The data industry has undoubtedly witnessed a remarkable transformation in recent years, driven by the rapid advancement of technologies and an escalating demand for data-driven insights. As this market continues to experience substantial growth, hiring trends are evolving in response to these dynamic changes. Our latest report uncovers:Key opportunities and challenges in the data industryThe most in-demand data rolesTechnical, soft, and business skillsets to keep in mind when hiringSalary guides for key data roles in the USA, Asia, UK, and EuropeKey takeaways and recommendations for both hiring managers and professionals

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How to Write a Job Description for a Data Scientist Role Image
data-analytics

How to Write a Job Description for a Data Scientist Role

​Writing an accurate, concise job description for a Data Scientist role is a vital part of attracting the best candidates for the position, while sharing relevant information about the role on offer. Job descriptions not only assist hiring managers and HR teams to find top talent, but also helps them to compete against other leading employers for the attention of experienced professionals considering new roles. On the other hand, poor job descriptions can have the opposite effect, attracting the wrong or unqualified applicants, or even no applicants at all. When a job description fails to adequately communicate the expectations and requirements of the role, it can lead to a pool of candidates who are unqualified and may discourage qualified professionals from applying too. In this article, we will explore the process of writing a job description for a Data Scientist position that attracts the highest quality candidates.Writing a Data Scientist job description A job description should provide interested candidates with all the information they need to know about a vacant role. The key elements to include in a Data Scientist job description are:The official job title – With the growth of data teams, it’s important to highlight the specific role you’re looking for, whether that’s a Data Scientist, Data Analyst or Data Engineer. The purpose of the role and key responsibilities – Data Scientists are in high demand across a vast range of industries, so what makes this role different? Bear in mind that many experienced professionals are looking for a job with meaning and a purpose that aligns with their values. The objectives of the role – What do you expect to see from potential candidates in their first month, three months, and in the long term?The experience, skills and qualifications required – Capture the specific industry experience and business acumen required, as well as soft skills that are crucial to success.The salary – According to a recent LinkedIn survey, 82% of respondents said seeing a salary range in a job description gives them a more positive impression of a business.The specific compensation structure and benefits on offer, including holiday entitlement – In a competitive market, offering a strong compensation package is key to secure talent, particularly when hiring for senior Data Scientist positions. The working hours and work location – If flexible working hours or remote working opportunities are available, this should be outlined clearly. Information about the company.Including this information ensures that your job description attracts positive attention without leaving candidates with unanswered questions about the nature of the role being offered.Main responsibilities of a Data ScientistResponsibilities vary by industry and the size of the data team in question, so accurately defining the responsibilities of an open role assists hiring managers in locating candidates who are best suited to the open position. However, the most common job responsibilities for Data Scientists include:Identifying and utilizing external and internal data sources to enhance business outcomesDesigning tools that improve data mining, data analysis, and validationDesigning and utilizing algorithms and data models to structure data setsDeveloping tools and models of testing that ensure the accuracy of dataPresenting reports of key findings, solutions, and future recommendationsCollaborating with co-workers across departments to maximize productivity and positive outcomesWhen summarizing the main responsibilities within a job description, it’s also important to consider what matters most to potential candidates and highlight the responsibilities and projects that will capture professionals’ interest. The testimonial below highlights how an accurate and interesting job description can showcase to potential hires the projects they may be involved in and help to attract the right candidates:“I was very interested in the NLP work that Glocomms sent over to me. It is rare to have so much impact on the NLP lifecycle at a large company – but working for this innovative group allowed me to have that technical roadmap.” - Data ScientistImportant skills and qualifications required for a senior positionSenior Data Scientists are more deeply involved in long-term data driven projects and team management roles.Senior positions often require a bachelor’s degree in data science, statistics, computer science or relevant fields, at least three years of experience in similar roles, and proven abilities in tasks such as preparing unstructured data, leading machine learning and modeling projects, and using SQL and Python for data science applications. Successful candidates also need hard skills like advanced knowledge of data preparation, analysis and cleaning, and experience in using scripting and programming languages like Python, Java, and C++.In addition to technical expertise and experience, soft skills are valuable for Data Scientists, particularly in senior positions. Effective communication, teamwork, and management skills are vital for collaboration across departments, and for managing and mentoring other members of the team. Strong problem solving and critical thinking skills are also vital in a rapidly evolving field like Data Science, so it’s important the job description outlines a blend of both technical hard skills and soft skills. A summary of the company Providing candidates with an overview of the hiring company’s values, culture and mission is also a crucial part of a Data Scientist job description. Outlining the benefits, the working environment, and why potential candidates should work for the company highlights all the factors that make working there appealing to prospective talent.Hire the best Senior Data Scientists with Glocomms Looking for your next hire? If you need guidance developing a strong job description to attract the right candidates, Glocomms can help. As a leading technology talent acquisition specialist, we can assist you in hiring a skilled Data Scientist with the right skills and experience for the role. Submit a vacancy or request a call back to elevate your hiring process and find the talent you need.

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Empowering Women in Technology: How to Hire More Women in Tech Image
enterprise-solutions

Empowering Women in Technology: How to Hire More Women in Tech

​While women are gaining an ever-strong standing in the Technology workforce, more work is needed to ensure that they enjoy equal opportunity, compensation, and career growth opportunities. According to Deloitte's Women @ Work: A Global Outlook report, while women are becoming better represented in the sector, they still experience non-inclusive behaviors, with 44% of respondents noting that they experienced micro-aggressions or harassment in the workplace in 2023. In this article, we will explore how Tech organizations can empower women, improve their hiring strategies to include more female talent where available, and create a workplace culture that nurtures and supports women in Tech.The importance of diversity in the workplaceDiverse and inclusive workplaces build high-performing teams and motivated, goal-oriented individuals. Today’s candidates also prioritize and seek out diverse workforces in which they will be accepted, supported, and provided with sufficient growth and development opportunities.Creating a diverse workplace that includes women in the Tech industry will help to create stronger problem-solving approaches and bring new and innovative ideas to your organization.Eliminate unconscious bias in role descriptionsAn important, but often overlooked, factor that contributes to biases in the hiring process is unconscious bias in job titles and role descriptions. Unconscious bias perpetuates assumptions and stereotypes of certain genders, ethnicities, races, ages, and social classes, among other factors. Ensure that you re-frame role descriptions that contain any outdated or gender-biased language to create space for diversity in your hiring process. Use gender neutral pronouns, check your descriptions for biased language, and avoid presenting a ‘toxic’ or gender-prejudiced work culture during interviews and communications with applicants.Involve female employees throughout the hiring processWhere possible, introducing your female candidates to current female employees during the hiring and interview processes will assist you in portraying your organization as a diverse and inclusive one. It may also help to improve the hiring experience for female candidates and could help you to attract referrals in the future. Promote family-friendly policiesAccording to Deloitte, women bear the largest responsibility for household tasks. While 88% of the respondents worked full time, almost half of the women polled by Deloitte were also primarily responsible for household tasks such as cooking, cleaning, shopping, or providing care for dependents.Including flexible and family-friendly policies in your hiring process can help to create a more supportive and inclusive work environment for women in the tech industry. Over half of women have noted that working from home has made them more productive, and offering remote working policies could assist your talent in striking a healthier and more sustainable work-life balance while driving your organization forward.Highlight learning and development opportunitiesCareer development is a leading priority for women in tech. Your organization’s learning and development opportunities and upskilling programs should be highlighted in role descriptions and throughout the hiring process to attract more valuable female candidates.Providing clear pathways for advancement and promoting a culture that values skill development also demonstrates that your company values the career progression and long-term success of its employees. Retaining your workforceOnce you have built a more diverse and inclusive workforce, it’s important to focus on retaining your diverse spectrum of talent. Some of the most significant challenges in retaining talent in the technology industry include a lack of advancement opportunities and a poor work-life balance. To address these concerns, ensure that you provide sufficient career development opportunities and actively promote equal opportunities for advancement into leadership roles for all employees, including women. Additionally, promoting work-life balance through flexible working arrangements and a supportive company culture can help create an environment where current employees feel supported. Find diverse talent with GlocommsGlocomms specializes in assisting technology organizations to secure leading talent for their open roles. Submit a vacancy or request a call back to partner with us and find the right people to support your future in tech.

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How to Switch Industries as a Data Scientist Image
data-analytics

How to Switch Industries as a Data Scientist

Data plays an integral part in almost all the technology that we use on a daily basis, whilst also enabling tech professionals to do their jobs. Skilled data professionals have never been in higher demand, and they therefore have the opportunity to work for a wide range of organizations across a variety of sectors, from banking and finance to business and government.For those data scientists looking for a new opportunity and wondering how to switch industries, the answer is almost certainly that it’s much easier than you might think.Why do professionals consider switching industries?40% of the data professionals who participated in our survey are looking for a new career opportunity. Just over a third cited a lack of learning and development as a top factor for wanting to seek new opportunities – a much higher proportion than in any other sector that we surveyed. Feeling either unchallenged or bored within their role fell closely behind a lack of learning and development as a reason to look for new opportunities. Quite often, what data scientists want most from their jobs can be found in other industries. Switching roles to work in Financial Services makes sense if you wish to earn a higher salary, for example: senior data scientists earn an impressive average salary of $127,000 in the finance industry. For those wanting to make a difference in society with their data expertise, considering a role in Life Sciences can be a good option, as you have the opportunity to impact whether a new life-saving product reaches the market. As with all of the other sectors included in our Tech Industry Report, higher compensation is the most important deciding factor for data professionals, with most data scientists looking for a 20%+ increase in pay. A desire for higher pay has served as another key reason for professionals across a wide range of industries to leave their jobs and consider switching industries. Flexible working and the option to work from home is very important to almost all of our data respondents. 48% of them said that they would leave their current role or reject a new offer if it were a full-time office role.Define your next stepIf you’re thinking about how to change industries as a data scientist, your first step should be to ask yourself about the type of work that you most enjoy and the various industries that you find particularly interesting and inspiring.It’s also worth taking the time to research the market conditions of various industries. If there is a particularly high demand for data scientists with your skill set in certain sectors, you may have a strong hand when it comes to negotiating a high salary. A large number of industries benefit immensely from the application of advanced Data Science methodologies, which means that there are plenty of openings for professionals with the required Data Science skills.Utilize your networkOnce you’ve decided on an industry you’d like to work in, it’s time to start reaching out to people with strong experience in that industry. This will give you an understanding of how that sector operates, what the various positions require and the career opportunities that are available to you.Make connections on LinkedIn with people in that industry, and make use of the connections that you already have. They might just be able to provide you with invaluable advice about how to switch career industries and help you land the role that you have in mind.Identify your strengths and core skillsNow is the time to do your natural strengths and hard-earned skills justice. Identify the core skills that could prove valuable to your new employers and ensure that they occupy a prominent position in the CV or resume you submit when applying to jobs. Be sure to have strong examples ready that demonstrate how you have been able to apply these skills in your past positions – being able to present real-life examples of how you can apply your knowledge can make all the difference when it comes to swaying employers. Make your transferable skills count16% of Britain’s working population can explain precisely how they could transfer their skills to different lines of work. Ensure that you are able to do just that when filing job applications for your next data science role.Do you have exceptional problem-solving skills? Has your capacity for critical or independent thought been praised by your colleagues? If so, you should highlight them in your applications and at interview stage, as these are skills that are transferable to a variety of sectors.Take the next step in your career with GlocommsMake your Data Science career switch today with Glocomms. Glocomms is a leading talent partner specializing in multiple sectors across Technology, Data Science and Cyber Security. View our range of job opportunities across a variety of rapidly-growing industries and register your CV/resume.​

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data-analytics

Data Science Career Path and Progression

Data Science is critical to the growth of businesses, helping to make key decisions to boost revenue and performance. As a result, the demand for Data Science professionals has seen a rapid increase in recent years, with plenty of room for career growth for those in the industry. Data from LinkedIn suggests Data Science career prospects in the US alone are growing at an annual rate of 35%. This demand is expected to rise in the future, too, making Data Science careers significantly more lucrative. Our own Tech Industry Report highlights that 35% of data professionals are seeking new career opportunities, a figure significantly higher than the other industries surveyed. The findings reveal not only a growing demand for skilled Data Scientists, but also an increasing demand for experienced candidates looking to transition into Data Science.Career paths in Data ScienceIn 2019, it was estimated that 2.7 million new Data Science and Analytics jobs would be created by 2020 in the Asia-Pacific region and that by 2026, the market would generate revenue of $48.0 billion. An increasing number of organizations are leveraging Data Analysis to identify new opportunities for growth and operational efficiency. Experienced Data Scientists are in high demand not only in the Technology sectors, but in other major industries such as Pharma, FMCG, Biometrics and many others.  The Biometrics sector in particular is expected to grow at a CAGR of 15.2% by 2027 as the demand for customer-facing applications and data security increases exponentially. Machine Learning (ML) has developed to become an independent discipline and is predicted to grow from $21.17 billion in 2022 to $209.91 billion by 2029. As a result of this immense growth and the rapid changes in technology, ML professionals are highly sought after. With ever-changing platforms and frameworks, adaptability is key as this market is never stagnant and provides a constant stream of new opportunities.If you are ready to take the next step in your Data Science career, there are many roles and opportunities available. Whether you need to develop new skills or understand how to repurpose your existing skillset, it is worth investing time to research which type role and industry might be most suitable for your experience and career goals. An increasing number of organizations are open to hiring Data Science professionals from other industries as they recognize the current talent pool is small. and candidates might possess transferable skills that are in high demand.Below is a list of the most in-demand Data Science roles:Data ScientistsThis is one of the most in-demand careers currently, with employment in this field is expected to grow by 36% from 2021 to 2031. Data Scientists are needed in just about every sector, from Biotech to Banking, Pharma to Healthcare, and the transferable skills experienced professionals possess means their skillsets are applicable across these sectors. Data EngineersIn 2020, Data Engineering was the fastest growing tech job as these professionals fill an integral role within data-driven organizations. If there is data to process, Data Engineers will be in demand and as data-driven decisions are becoming increasingly relied upon. These skills are also transferable across multiple sectors and industries.Data AnalystsThe U.S. Bureau of Labor Statistics expects that the number of employment opportunities for Data Analysts will grow by 23% between 2021 and 2031. This far exceeds the average 5% growth predicted for other jobs.Data ArchitectsAs businesses focus more on the storing and organization of data, and as data compliance laws become more prevalent, the demand for Data Architects grows exponentially. The BLS predicts that employment of database professionals will increase by 8% from 2020 to 2030. Business Intelligence AnalystsBusiness Intelligence (BI) roles have gained prominence in the last five years and the demand for Business Intelligence Analysts has outstripped the supply. The BI market is expected to grow by 11% from 2019 to 2029.Machine Learning EngineersWith the Machine Learning industry experiencing such rapid growth, ML Engineers are always in demand, especially in the Manufacturing sector where career opportunities are vast. Find Data Science career opportunities with GlocommsIf you want to explore a new career path across Data Science, Glocomms have a range of available roles and opportunities that match your experience and skills.As a leading specialist talent partner in Technology, we offer a range of permanent and contract positions to help you define your next career move. Search and apply today. ​​

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data-analytics

The Evolution of Big Data Recruitment

Discover 5 tips on how big data recruitment can help attract & retain talent. A shortage of talent in data means it’s never been more important for hiring managers and HR to understand how to attract, and just as importantly, retain their talent. According to Agni Ghosh, Vice President of Data at Glocomms USA, while data has always been part of tech, it is now its own beast, and deserves recognition and in turn, creative recruitment strategies to fill the vacant roles that the sector is experiencing in abundance. Here, Agni shares five quick tips on adapting and retaining data talent for businesses and those hiring. Understanding the growth of big data analytics in recruitment It’s important to recognize just how much of a boom this area of technology has seen. It’s evolved massively and data skills are now very much sought across a number of industries and sectors that just a few years ago probably hadn’t even heard of a Data Scientist. Because of this, competition for data talent has never been tougher and therefore clients need to get wise to who they are competing with. It’s also about staying up-to-date with the latest movers and shakers, and trends. Data specialists are seeing growth in new hot areas, such as AI and machine learning, and may make moves into there as opposed to a more traditional medium, so clients need to realize they too need to embrace and adapt to change. Machine Learning used to be part of Data, and has now become its own space in basically 12 months. Therefore, it is really enticing when attracting talent if you are able to say you are looking into machine learning and there may be opportunities to grow this area; this could help align your company to the big data recruitment agencies. Embracing new backgroundsBecause of this talent shortage, thanks to everyone wanting a piece of the data pool, it’s time for employers to look at different, non-traditional backgrounds for their data dream team. Career paths have changed and people are a lot more open to transferring their skills, and thus employers should be too. We have seen emerging biotech firm data specialists head over to financial quant businesses and vice versa, so we all need to wrap our minds around non-traditional CVs and think about what fresh ideas they could bring to the table. Having an open mindset will also help you beat the competition, and when you’re competing with big banks to big tech, it’s important to embrace and evolve to a talent shortage. Attracting talent earlier We really embrace talent as soon as we can at Glocomms, and hiring managers shouldn’t think any differently. Working with a number of colleges and student organizations, it’s important to identify as soon as we know they are a good candidate, and sometimes that means job offers before someone has barely graduated. We have even seen a candidate get a job offer after being discovered via a research paper they produced at college. Remember, if candidates are getting their name out earlier, as a hiring manager, so should you. Motivations and movements Understanding how hot the market is will help to attract talent, but also discovering the real motivations behind wanting a new job will help to foster a positive working relationship. In terms of retention, it could also make the difference between someone staying and someone going. Flexible working policies and the ability to work from home comes up time and time again as the pandemic has indelibly changed the way we work. It has also made in our opinion, candidates a little more up for risk. Life is too short, and they seem so much more open to different career paths and trying something new. Long gone are the days of boomers staying in one company, and while big names used to help get people through the door, the abundance of start-ups with strong financial credentials has also meant hiring managers can no longer rely on names or reputation. Proof points such as evidence of opportunities to progress, as well as regular pay reviews, internal relocation programs, and training is key. Ultimately people stay for the people as well as the business, so ensuring your managers are fully trained to retain talent as well as possible is also crucial. How big data and recruitment can win talent Compensation is a huge driving factor, and we’re seeing 60% plus in terms of inflation compared to last year. Outside of pay, one of the biggest ways to win talent is offering flexible working. We touched on it earlier, but we are advising clients to add it to their benefits package as the new normal. Otherwise, you will lose this talent and you need to stay competitive with the rest of the market. And, not just in terms of home/hybrid working, but also, can you give job seekers the chance to move elsewhere? If you have relocation opportunities, it could make a difference. For example, the pandemic highlighted the need for many to be close to friends and family, so if a company doesn’t need someone in a big city office five days a week, can the role be based in another, smaller hub? Speed is also of the essence. Counteroffers and competing offers are becoming more common, and especially in terms of the older, more traditional clients such as big banks, time is crucial. A start-up without all those HR hoops and tech tests can move in three days flat. People are moving fast and therefore so should businesses. This is one of the areas we spend time educating clients on the most, and we can help facilitate a faster hiring process for you as your talent partner. If you are a start-up yourself, a big attraction is the lure of being part of something new and special. Ownership is exciting, so being able to offer an equity element in your compensation package helps. This is a bit of a cultural shift, but to attract the new generation of talent, we’d recommend such policies. And, while it isn’t always down to money, we have witnessed a $150,000 sign-on bonus before, and we envision it happening again. Especially if you need to buy people out of shares, stocks and equity, it is something to consider. Covering all Data related roles across the various STEM-related markets globally, including Data Science, AI, Machine Learning, Biometrics, Quantitative Analytics and Data Engineering across all markets. Get in touch with one of our consultants to assist with your hiring needs today, or upload a vacancy now.

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