Data & Analytics

Data & Analytics

Glocomms: A Specialist Data & Analytics Talent Partner

Welcome to Glocomms, your trusted partner in the world of Data & Analytics. We specialize in connecting top-tier organizations with exceptional talent in this rapidly evolving field. Our dedicated team of experts is committed to helping businesses unlock the full potential of their data through cutting-edge analytics solutions. Whether you're seeking the perfect candidate to drive your data strategy, or are a skilled professional looking for exciting career opportunities, contact us for a confidential discussion.

The future of Data & Analytics is poised for remarkable growth and transformation. As organizations continue to collect vast amounts of data, the ability to make data-driven decisions is becoming increasingly crucial. This will create new opportunities and challenges for Data & Analytics professionals, but the demand for skilled data scientists, data engineers, and analysts will skyrocket as businesses strive to leverage their data to gain a competitive edge, optimize operations, and drive innovation. At Glocomms, we understand these evolving needs and are here to connect you with the right talent or exciting career opportunities in the dynamic Data & Analytics sector.

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Benefits of working with us

Our Data & Analytics recruitment specialists help 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 of Data & Analytics experience as a leading technology talent partner.

Network

A vast, global network of the best, in-demand Data & Analytics talent.

Knowledge

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

At Glocomms, we are dedicated to cultivating long-lasting partnerships grounded in trust, honesty, and shared prosperity. Our commitment lies in delivering tailored solutions that align with your unique business goals and Data & Analytics recruitment preferences. Whether you seek immediate placement for pivotal roles or require ongoing strategic talent acquisition solutions, our arsenal of resources and experitse 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. This presents endless opportunities for Data & Analytics professionals, as businesses seek to leverage their data for innovation. At Glocomms, we understand these evolving needs and are committed to finding you the best Data & Analytics career opportunities.

Senior Data Engineer - Azure

Job Title: Senior Data Engineer (Azure) Type: Freelance (12 months) Location: Paris (Hybrid) Overview: Our client is a leading player in the insurance industry, providing innovative solutions to both individual and enterprise clients. They're looking to welcome a Senior Data Engineer to join on a 12-month contract to support the expansion and optimization of their Azure data infrastructure. This is an exciting opportunity to be part of a dynamic team responsible for scaling and improving data solutions that directly impact the company's business and operations. Key Responsibilities: Lead the design, development, and optimization of scalable data pipelines and infrastructure on Microsoft Azure. Implement best practices for data storage, integration, and processing within Azure services such as Azure Data Lake, Azure SQL Data Warehouse, Azure Synapse Analytics, and Azure Databricks. Design, build, and maintain automated data pipelines that move and transform large datasets from various sources into analytical platforms (Data Warehouses, Data Lakes, etc.). Focus on high-performance, secure, and reliable data movement. Work closely with data scientists, data analysts, and business stakeholders to understand data requirements, ensuring that the data architecture supports the needs of various teams across the business. Document solutions, processes, and workflows to ensure that knowledge is shared and that standards for data engineering are maintained across the organization. Qualifications: 5+ years of hands-on experience in data engineering, with a strong focus on cloud-based data solutions, preferably in the Azure ecosystem. Proven experience building and managing data pipelines, data lakes, and data warehouses using Azure services. Experience working in the insurance industry or other regulated sectors (e.g., healthcare, finance) is highly desirable Expertise in Azure cloud services such as Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, Azure Functions. Strong proficiency in SQL and scripting languages such as Python or Scala. Experience with ETL tools, data modeling, and transformation techniques. Are you looking for new opportunities in 2025? Get in touch today!

Negotiable
Paris
Apply

Data Analyst

Job Title: Data Analyst (12 Month Contract) Location: Paris / Remote Industry: Retail Company Overview: Our client is a well-established company in the retail industry who are experiencing an increased demand for data analytics as they continue to expand and optimize their operations. To support this demand, they are seeking a skilled Data Analyst for a 12-month contract position. The successful candidate will play a pivotal role in providing actionable insights and data-driven recommendations that drive business decisions across various teams. Key Responsibilities: Analyze complex retail data sets and deliver actionable insights to key stakeholders Provide adhoc reports and automated reporting solutions to monitor business performance. Design and develop interactive dashboards and visualizations using Power BI to provide real-time insights. Work with other members on the data team to extract, transform, and load (ETL) data from various sources using SQL and Python Identify trends, patterns, and anomalies in data to help predict future business needs and optimize retail operations. Work closely with business leaders, marketing teams, and operations to understand business challenges and provide data-driven solutions that support strategic goals. Qualifications: Proven experience as a Data Analyst or in a similar data-driven role. At least 5+ years of experience in data analysis, reporting, and visualization. Highly skilled in Python as a programming language for data analysis and scripting (e.g., pandas, NumPy, data cleaning, etc.). Strong experience in SQL and expertise in Power BI to create interactive dashboards, reports, and visualizations. The ability to truly understand the data you're working with, find areas of concern or opportunity and action them appropriately. Are you looking for new opportunities in 2025? Apply today and we'll be in touch ASAP.

Negotiable
Paris
Apply

Data Analyst

Job Title: Data Analyst (12 Month Contract) Location: Paris / Remote Industry: Retail Company Overview: Our client is a well-established company in the retail industry who are experiencing an increased demand for data analytics as they continue to expand and optimize their operations. To support this demand, they are seeking a skilled Data Analyst for a 12-month contract position. The successful candidate will play a pivotal role in providing actionable insights and data-driven recommendations that drive business decisions across various teams. Key Responsibilities: Analyze complex retail data sets and deliver actionable insights to key stakeholders Provide adhoc reports and automated reporting solutions to monitor business performance. Design and develop interactive dashboards and visualizations using Power BI to provide real-time insights. Work with other members on the data team to extract, transform, and load (ETL) data from various sources using SQL and Python Identify trends, patterns, and anomalies in data to help predict future business needs and optimize retail operations. Work closely with business leaders, marketing teams, and operations to understand business challenges and provide data-driven solutions that support strategic goals. Qualifications: Proven experience as a Data Analyst or in a similar data-driven role. At least 5+ years of experience in data analysis, reporting, and visualization. Highly skilled in Python as a programming language for data analysis and scripting (e.g., pandas, NumPy, data cleaning, etc.). Strong experience in SQL and expertise in Power BI to create interactive dashboards, reports, and visualizations. The ability to truly understand the data you're working with, find areas of concern or opportunity and action them appropriately. Are you looking for new opportunities in 2025? Apply today and we'll be in touch ASAP.

Negotiable
Missouri River Township
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Senior Data Engineer - Azure

Job Title: Senior Data Engineer - Azure (Contract, 12 months) Location: Paris / Remote Industry: Insurance Company Overview: Our client is a leading company in the insurance sector that are looking to expand their Azure cloud offering. As part of a 12-month project, the company is seeking a Senior Data Engineer to join their dynamic team and drive the development and optimization of their cloud-based data architecture. Key Responsibilities: Design, implement, and optimize scalable, reliable, and secure data architectures on Azure. Build and maintain ETL pipelines while ensuring efficiency and performance on the Azure cloud platform. Leverage Azure services (e.g., Azure Data Factory, Azure Synapse, Azure SQL, Azure Databricks) to enhance and expand the cloud data infrastructure. Collaborate with data scientists, analysts, and stakeholders to integrate and manage data from multiple sources, including structured and unstructured data formats. Maintain clear documentation of processes, architectures, and pipelines for transparency and knowledge sharing. Qualifications: Essential: Proven experience as a Senior Data Engineer or similar role At least 5+ years of experience in data engineering or data-related roles. Hands-on experience with Azure cloud services, such as Azure Data Factory, Azure Synapse Analytics, Azure SQL Database, Azure Databricks, and Azure Blob Storage. Advanced proficiency in data modeling, ETL pipeline design, and data warehousing. Strong programming skills in Python, SQL, etc. Are you open to new, impactful missions in 2025? If so, please apply today and we'll be in touch ASAP.

Negotiable
Paris
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Senior Data Lead/Engineer

In collaboration with a leading logistics client, we are searching for a Senior Data Engineer/Lead to join on an initial 6 month basis. Role: Senior Data Engineer Location: Lyon Duration: 6 months (Extendable) Hybrid Working: 2 days remote per week Start Date: Q1 2025 Key Responsibilities: Work on the migration from Talend to DBT, ensuring seamless integration Design, develop and optimise scalable data pipelines, schemas and processes for our new data warehouse Collaborate with cross-functional teams in delivering high-quality data solutions Support and advance data mesh initiatives, enabling decentralised and scalable data ownership Ideal Profile: 5+ years of experience in data engineering, with expertise in modern data tools and frameworks Strong background in data architecture and development of end-to-end data solutions Proficiency in DBT or similar modern data transformation tools Experience in design and implement new data warehouses and schemas Experience with data mesh concepts and distributed data ownership Collaborative mindset, with excellent communication skills and the ability to work effectively in a team

Negotiable
Lyon
Apply

Senior Data Lead/Engineer

In collaboration with a leading logistics client, we are searching for a Senior Data Engineer/Lead to join on an initial 6 month basis. Role: Senior Data Engineer Location: Lyon Duration: 6 months (Extendable) Hybrid Working: 2 days remote per week Start Date: Q1 2025 Key Responsibilities: Work on the migration from Talend to DBT, ensuring seamless integration Design, develop and optimise scalable data pipelines, schemas and processes for our new data warehouse Collaborate with cross-functional teams in delivering high-quality data solutions Support and advance data mesh initiatives, enabling decentralised and scalable data ownership Ideal Profile: 5+ years of experience in data engineering, with expertise in modern data tools and frameworks Strong background in data architecture and development of end-to-end data solutions Proficiency in DBT or similar modern data transformation tools Experience in design and implement new data warehouses and schemas Experience with data mesh concepts and distributed data ownership Collaborative mindset, with excellent communication skills and the ability to work effectively in a team

Negotiable
Lyon
Apply

AWS DevOps

Working an established client in the financial services industry, we are searching for an experienced AWS DevOps Engineer to join an initial 6 month basis. You'll play a critical role in optimizing, automating, and securing our AWS cloud infrastructure, while supporting development teams to improve delivery cycles and product quality. Role: AWS DevOps Engineer Duration: 6 months (Extendable) Location: Paris 7th Hybrid Working Start Date: Jan/Feb 2025 Key Responsibilities: Design and implement CI/CD pipelines and deployment automation on AWS. Optimize the performance, availability, and security of AWS-hosted applications. Manage AWS services (e.g., EC2, S3, RDS, Lambda) to meet project needs. Collaborate with development teams to enhance workflows and system reliability. Monitor, secure, and ensure compliance of AWS environments. Skills & Experience: Proven expertise as a DevOps Engineer with significant AWS experience. Proficiency in scripting (Python, Bash, AWS CLI). Hands-on experience with AWS tools (CloudFormation, CodePipeline) and CI/CD tools (Jenkins, Docker). Solid understanding of Linux systems and Git. Knowledge of AWS security practices and compliance frameworks. Experience with Pandas, Oracle and SQL is a bonus Banking/Financial Services industry background is a plus

Up to £550 per day
Paris
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Senior Data Lead/Engineer

In collaboration with a leading client in the logistics sector, we are searching for a Senior Data Engineer/Lead to join on an initial 6 month contract with potential to convert to permanent. Client: Logistics Role: Senior Data Engineer Location: Lyon Duration: 6 months (Extendable) Hybrid Working: 2 days remote per week Start Date: Q1 2025 Key Responsibilities: Work on the migration from Talend to DBT, ensuring seamless integration Design, develop and optimise scalable data pipelines, schemas and processes for our new data warehouse Collaborate with cross-functional teams in delivering high-quality data solutions Support and advance data mesh initiatives, enabling decentralised and scalable data ownership Ideal Profile: 5+ years of experience in data engineering, with expertise in modern data tools and frameworks Strong background in data architecture and development of end-to-end data solutions Proficiency in DBT or similar modern data transformation tools Experience in design and implement new data warehouses and schemas Experience with data mesh concepts and distributed data ownership Collaborative mindset, with excellent communication skills and the ability to work effectively in a team

Negotiable
Lyon
Apply

Senior Data Lead/Engineer

In collaboration with a leading client in the logistics sector, we are searching for a Senior Data Engineer/Lead to join on an initial 6 month contract with potential to convert to permanent. Client: Logistics Role: Senior Data Engineer Location: Lyon Duration: 6 months (Extendable) Hybrid Working: 2 days remote per week Start Date: Q1 2025 Key Responsibilities: Work on the migration from Talend to DBT, ensuring seamless integration Design, develop and optimise scalable data pipelines, schemas and processes for our new data warehouse Collaborate with cross-functional teams in delivering high-quality data solutions Support and advance data mesh initiatives, enabling decentralised and scalable data ownership Ideal Profile: 5+ years of experience in data engineering, with expertise in modern data tools and frameworks Strong background in data architecture and development of end-to-end data solutions Proficiency in DBT or similar modern data transformation tools Experience in design and implement new data warehouses and schemas Experience with data mesh concepts and distributed data ownership Collaborative mindset, with excellent communication skills and the ability to work effectively in a team

Negotiable
Lyon
Apply

Lakehouse Data Engineer

Our client is a rapidly growing Insuretech company developing innovative products in the insurance industry. We use advanced machine learning to drive optimal claims outcomes. Key Responsibilities: Design and optimize Data Lakehouse architecture for high performance and scalability. Manage data integration from various sources. Collaborate with teams to align data models with business needs. Enforce data governance, quality, and security standards. Automate processes using scripting and CI/CD tools. Troubleshoot and improve system performance. Work with big data tools like Apache Spark and Delta Lake. Maintain Data Lakehouse stability and reliability. Stay updated on big data and cloud technology trends. Skills and Expertise: 5+ years with cloud-based data solutions (Redshift, Snowflake, BigQuery). Experience with AWS Lake Formation. 3+ years in ELT/ETL development. Proficient in Python, Java, or SQL. Strong SQL programming and data modeling skills. Experience with data pipeline and orchestration tools (Hive, Spark, Airflow). Knowledge of containerization (Docker, Kubernetes). Agile development experience. Understanding of machine learning workflows and data visualization tools is a plus. Strong communication and collaboration skills. Nice to Have: AWS certifications. Knowledge of commercial claims management systems.

Negotiable
United States of America
Apply

Lakehouse Data Engineer

Our client is a rapidly growing Insuretech company developing innovative products in the insurance industry. We use advanced machine learning to drive optimal claims outcomes. Key Responsibilities: Design and optimize Data Lakehouse architecture for high performance and scalability. Manage data integration from various sources. Collaborate with teams to align data models with business needs. Enforce data governance, quality, and security standards. Automate processes using scripting and CI/CD tools. Troubleshoot and improve system performance. Work with big data tools like Apache Spark and Delta Lake. Maintain Data Lakehouse stability and reliability. Stay updated on big data and cloud technology trends. Skills and Expertise: 5+ years with cloud-based data solutions (Redshift, Snowflake, BigQuery). Experience with AWS Lake Formation. 3+ years in ELT/ETL development. Proficient in Python, Java, or SQL. Strong SQL programming and data modeling skills. Experience with data pipeline and orchestration tools (Hive, Spark, Airflow). Knowledge of containerization (Docker, Kubernetes). Agile development experience. Understanding of machine learning workflows and data visualization tools is a plus. Strong communication and collaboration skills. Nice to Have: AWS certifications. Knowledge of commercial claims management systems.

Negotiable
United States of America
Apply

Senior PowerBI Developer

We are seeking an experienced Business Intelligence (BI) Developer for a freelance B2B contract role.to join our team and help optimize and enhance our client's data infrastructure. You will play a pivotal role in ensuring scalability, security, and performance while developing innovative BI solutions that empower thousands of users with self-service analytics. Role: BI Developer Location: Krakow Duration: Long Term Hybrid Remote Working Start Date: January Client interviews: This week and week commencing 16th Dec Key Responsibilities: Analyze Data Infrastructure: Review the client's current data systems, identify areas of improvement, and implement optimizations to address scalability, security, and performance challenges. Develop BI Models: Collaborate with stakeholders to design and build robust, user-friendly BI models that support self-service analytics and efficient data consumption. Utilize Modern Tech Stack: Leverage tools such as PowerBI, Azure, Databricks, Python, and Tabular to develop, deploy, and maintain scalable BI solutions. Ensure Data Security: Implement best practices to enhance data security, ensuring compliance with industry standards and safeguarding sensitive information. Optimize Performance: Fine-tune BI systems to improve query performance, reduce latency, and ensure a seamless user experience for thousands of concurrent users. Collaborate Cross-Functionally: Work closely with data engineers, architects, and business teams to understand requirements and deliver tailored solutions. Provide Ongoing Support: Monitor BI systems, address issues proactively, and provide technical support to end-users for continuous improvement.

Negotiable
Kraków
Apply

Data & Analytics News & Insights

Hiring Business Critical Talent Through Video Interview Image
data-analytics

Hiring Business Critical Talent Through Video Interview

The hiring process in the UK has changed dramatically for many companies due to the Covid-19 epidemic. While somecompanies in the tech sector are slowing down their hiring process,  for others, the demand for business-critical talent remains as strong as ever.Although this is trying times, the availability of technology enables businesses to continue hiring processes virtually. There are even additional benefits in adding video interviews into your hiring process with many companies arguing this helps increase diversity by removing any geographical barriers, as well as improving candidates’availability as they are more flexible when working from home.Download our guide for tips on how successfully hire using video interviews. This includes ensuring they are the cultural fit, which can be difficult over video interview, and changing your usual interviewing process to adapt to the new technological changes.Download now.

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How to Ace a Virtual Interview Image
data-analytics

How to Ace a Virtual Interview

As the Covid-19 epidemic continues, an estimated 20 million people will now be working from home in the UK. For many, this means the prospect of doing virtual interviews at home rather than the usual in person, which requires new set ofskills and practices.Even for professionals in the tech sector, video interviews can prove nerve wracking, as you are entirelydependent on the technology to work. Moreover, while it is vital with any interview that you shine, this can prove more difficult when on a video interview. Body language is harder to read and the video connection can be glitchy.This guide runs through the best video interview practices to help you succeed. From a checklist to ensure your connection is set up and ready, to the best ways to present yourself and make the right first impression.Download our guide now.

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Dreading Blue Monday? Cheer Up With These Top 5 Tips Image
data-analytics

Dreading Blue Monday? Cheer Up With These Top 5 Tips

The dreaded Blue Monday is just around the corner. In the UK, January spells bad weather, a serious lack of sunlight, and the longest wait for the holidays to come around again. No wonder you can be left feeling so miserable. Seasonal affective disorder (SAD) affects one in three of us. So is it any surprise that the 3rd week of January is now known as Blue Monday? AKA the most depressing day of the year.We know the demand placed on tech professionals: a constantly full inbox, playing catch-up after the festive period, and putting out fires left to right (sound familiar?). You’ve probably had time to prepare yourself for your January workload—but can you ever anticipate the reality of being back to work?Just remember with Blue Monday (or any Monday) it’s important to take time for yourself. Find ways to make this day more manageable. If this doesn’t sound possible, then it’s time to find a new job that will stop you dreading, and feeling, the inevitable work blues. Read our 5 recommended ways to help you cope with the worst Monday of the year!

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Can AI Supercharge Your Hiring Process? Image
data-analytics

Can AI Supercharge Your Hiring Process?

​​Artificial intelligence holds massive potential for recruitment. From screening through to final hire, automation, natural language learning and predictive analytics are being used at every stage of the journey to schedule, interview, assess and predict candidate performance. Should you use artificial intelligence to supercharge your hiring process? Download our guide.​​​

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How to Look Beyond the CV to Find the Right Talent Image
data-analytics

How to Look Beyond the CV to Find the Right Talent

​Jobs within the UK tech industry often receive a flood of applications where many candidates will tick the right boxes for the required skills. As a hiring manager, you will need to look beyond the qualifications and experience on the CV to find candidates who will be a great fit for the culture and working approach of your company. Looking at elements of the application such as the personalisation of the cover letter and how the candidates approach a task set for an interview will give you a much better sense of their enthusiasm, personality and suitability for the job. This guide provides tips on how to look beyond the CV to find the right talent for your company, including spotting the personality types which will help your company thrive and provide long-term value. ​​​

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How to Help a New Employee Relocate Image
data-analytics

How to Help a New Employee Relocate

​When you are seeking top talent from around the globe, valuable and highly skilled workers will be expecting a generous relocation assistance package to help make their move to another city, or even another country, worth the stress and disruption. Putting together this package will make it easier for the best talent to accept your job offer within the UK technology sector. This guide will help you put together a job relocation package which will attract high quality talent to your location and add significant value and innovation to your business. Not only will you make a great hire, but they will also feel great about their decision to join your company. ​​

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Analytics Market Update & Salary Report 2017 Image
data-analytics

Analytics Market Update & Salary Report 2017

​Analytics in the Spotlight2016 has been another great year for Data Analytics with more companies than ever before investing in analytical technologies globally; a trend set to continue into 2017. However, data intelligence was heavily scrutinised throughout the year and data analysis was placed firmly in the media spotlight during two of the biggest political events of the year, Brexit and the US Presidential Election. The inconsistent polling data during the EU Referendum and US Election has largely called into question the reliability ofanalyticaltechnology.What can we expect in 2017?This paper aims to provide a commentary and insight on the Analytics market in 2016 and a 2017 outlook of key trends in the talent pool, including:Artificial Intelligence (AI)Smart CitiesBehavioural AnalyticsTalent DiversityCloud AnalyticsShortage of TalentAlthough these events have not currentlyhadany major effect on the market growth of analytics, there will be increased pressure on analytical data provided; especially surrounding polling data analytics and future voting.​Trends & Talent Challenges 2017a. Artificial Intelligence (AI)Artificial Intelligence (AI) has been chosen by Gartner as the No.1 strategic technology trend to watch for in 2017.Machine learning was one of the highest sought after skillsets of 2016 and, with ever-evolving AI algorithms, looks to remain one of the hottest skillsofthe coming year. Companies are relying more upon Real-Time Data Analysis and Statistical Analysis than ever before to increase business success, which has subsequently led to a rise of Advanced Analytics projects, where AI is an essential component.What does thismeansfor hiring across APAC?Throughout 2017 we expect to see Artificial Intelligence / Machine Learning being the most in-demand skill of the year. While companies are growing their teams, it is clear that in regions, like Singapore and Hong Kong, there will be a drive to encourage more Computer Science Degrees at universities. This initiative will drive home-grown talent in the market for future years, whilst also hiring from other technical analytical areas (such as Business Intelligence) and cross training them to bridge the skills gap.b. Smart CitiesSingapore is one of the pioneering nations for the Smart City revolution. With the increase in IoT (Internet of Things), Security and Big Data, the Smart City is the global aim for many other locations. Access to emerging technologies allows a wider reach of analytics information which in turn, allows governments to improve urban living, including infrastructure, healthcare, transport and other services. Many technology companies are heavily involved in the growth of this ‘smart city’ revolution, with development projects focused more on the idea.What does thismeansfor hiring across APAC?With Singapore and Hong Kong being the prototype or implementer in many smart city revolutions; for example the driverless vehicles, the need for IoT expertise is going to dramatically increase. 2017 will show Internet of Things as a key requirement in many industries. Similar to AI, there will be an uptake required on hiring from other analytical technologies with the intention to cross train into IoT, as emerging technologies inevitably see a skills shortage during early stages of the technology life-cycle. There will be a surge in self-training as talent with initiative to learn will be a hot commodity and bridge the gap for potential employers.c. Behavioural AnalyticsWithin theecommerceindustry, behavioural analytics is becoming essential for business success. Forbes highlights that 2016 was the first year in US history that digital advertising exceeded TV spending, with digital ads holding 36.8% of the market share. This will only continue to increase with the development of behavioural analytics. The ability to predict consumer behaviour using analytical technology is particularly important within the Asia Pacific market, due to the rise ofecommerceand technology start-up over the last 5 years.What does this means for hiring across APAC?2017 will likely see a rise in experienced candidates across; Insights, Behavioural and Consumer Analytics. There will be an even bigger demand for talent in the commercial space ofecommerceand retail. In addition, we will see growth of the Technology Sales market; aimed at revenue generation in Behavioural Analytics specialist technology.d. Talent DiversityIt is no secret that there is a global strive for diversity in all major industries; the Analytics and Technology space is no exception. One of the main hiring focuses for 2017 is to bring more gender diversity into technology careers.From a broad perspective, in Singapore’sworkforcethere has been a decrease of women in STEM professional occupations from 22% in 2015 down to 21% in 2016.However, in the technology sector there has been an increase of 4400 more women entering the field since 2015, and as a technicalengineerthe overall year increase rose from 18% to 19%. Albeit, these numbers are small, it does show that technology in Singapore is on the rise as a chosen career path. There is still a large shortage of women in technology in Singapore, of which there will be a growing demand in 2017.e. Cloud Analytics‘Cloud’ is still one of the biggest buzzwords in the technology market and will remain so into the coming year. Companies are continuing to invest incloud basedsolutions and place more reliability in cloud technology. For Cloud Analytics, this means that more analytical technology elements including; data models, data storage, sources and applications which will be cloud based rather than on premise.For talent; there is a major skills gap in cloud knowledge; cross training is the only solution to invest in candidates who can overlap between Cloud and Analytics talent pools, particularly in areas such as Big Data, where there is already a shortage of candidates. Companies must be willing to pay the price for people who have 5+ years’ experience.f. Shortage of TalentWith the fast growth of emerging technology the talent shortage is a rising problem in theAsia Pacificregion; particularly in the financial hubs of Singapore and Hong Kong where local specialised talent is low. Companies are struggling to get projects started or completed due to a lack of talent, consequently causing a delay in technological advancements in the Analytics area.A large shortage is arising in the region because many candidates possess either technical or business facing skills rather a balance of both, Analytics roles often require both.This thereforemeans that the APAC market is a candidate driven one with huge talent dearth.In order to bridge this talent gap, employers need to either look at hiring candidates with transferable skills and providing training on missing areas or hiring talent from overseas / attracting Singaporean technical candidates back home who have moved overseas. In addition, employers will need to acknowledge this lack of talent by offering candidates with these high demand skills a suitable pay increase before their competition does.​APAC Analytics market hiringFrom a recent survey of Glocomms clients, the biggest need in 2017 will be for candidates to have multiple technical competencies that show variety, agility and adaptability to change in the fast-moving technology world. Particular experience preferred, in addition to the earlier mentioned, is Cloud Infrastructure, Cyber Security, DevOps and Agile. Within the SME environment, clients most likely prefer a mix of techstart upstyleof working with the ability to engage traditionally with upper management.​Analytics Technology to watchArtificial Intelligence & Machine LearningBig DataBehavioural AnalyticsInternet of ThingsSmart CitiesCloud AnalyticsDigital AnalyticsInsights Augmented RealityBusiness IntelligenceMost Hired Analytics in 2017Data ScientistData AnalystData ArchitectAnalytics ManagerData Engineer

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