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.

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
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Data Scientist/Machine Learning Engineer

We are working with a leading private equity firm based in the Houston, TX area. Are you passionate about leveraging data to drive strategic decisions and optimize portfolio performance? As a Senior Data Scientist, you will play a pivotal role in analyzing large datasets to uncover insights that guide investment strategies and operational improvements. You will collaborate with investment professionals and other stakeholders to deliver actionable recommendations and support data-centric initiatives across our portfolio. Key Responsibilities Data Analysis: Collect, clean, and analyze large datasets from diverse sources to identify trends, patterns, and investment opportunities. End-to-End Machine Learning: Design, develop, and deploy end-to-end machine learning models, from data preprocessing and feature engineering to model training, evaluation, and integration into production systems. Model Development: Develop predictive models and algorithms to assess risks and forecast performance metrics for potential investments. Visualization: Create compelling data visualizations and dashboards to communicate findings effectively to both technical and non-technical stakeholders. Collaboration: Work closely with investment teams to understand their data needs and provide analytical support for deal sourcing, due diligence, and portfolio management. Reporting: Generate regular reports and presentations that summarize key insights, metrics, and recommendations to inform decision-making. Research: Stay updated on industry trends, tools, and methodologies to enhance the firm's analytical capabilities.

Negotiable
Houston
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Founding Data Engineer

Our client is a fast-growing AI company specializing in the Pharmaceutical Intelligence space. Key Responsibilities: Design, develop, and maintain complex data pipelines that go through multiple stages and transformations. Implement data modeling, normalization, and wrangling of different data formats into a cohesive product. Manage and optimize data storage solutions using technologies such as PostgreSQL, S3/GCS. Orchestrate workflows using tools like Airflow, Prefect, or Dagster. Implement and manage message queues to ensure efficient data processing. Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs. Contribute to the maturation of data infrastructure in a startup environment, from 0 to 1 and beyond. Required Qualifications: Proficiency in Python and experience with PostgreSQL. Hands-on experience with cloud storage solutions such as S3 or GCS. Familiarity with workflow orchestration tools like Airflow, Prefect, or Dagster. Experience with managing message queues. Mid-level or higher experience in managing complex data pipelines. Strong understanding of data modeling, normalization, and data wrangling. Preferred Qualifications: Experience in fast-growing AI-native companies. Proven track record of maturing data infrastructure in startup environments. Ability to handle unstructured and varying data formats effectively. Why Join Us: Be part of an innovative team at the forefront of AI and data engineering. Opportunity to work on challenging projects that make a real impact. Collaborative and dynamic work environment. Competitive salary and benefits package.

US$150000 - US$200000 per year
Brooklyn
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Principal Data Engineer

Seeking a Principal Data Engineer! We're looking for a Principal Data Engineer to lead the data architecture of our SaaS platform. You'll be responsible for driving architecture, making code contributions, and evolving our prototype into a scalable, extensible data platform. Key Duties & Responsibilities: - Set architectural direction for the data systems - Contribute readable, maintainable, and thoroughly tested code - Build prototypes and proofs of concepts - Adhere to software engineering best practices - Collaborate with data engineers and other stakeholders - Mentor and assist other engineers - Improve productivity and velocity across the team Skills & Abilities: - Deep knowledge and experience with modern data infrastructure - Proficiency with various big data technologies - High standards for software engineering - Excellent communication skills - Empathy for others Join us in connecting companies with the communities they operate in to foster mutual success. Apply now!

US$200 - US$220 per year
Brooklyn
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Qlik Developer

We are working with an established Snowflake-Partnered consultancy in search for a Qlik Consultant for a freelance contract role. Role: Qlik Consultant Duration: 3 months extendable Location: Lyon Hybrid Working Start Date: Nov/Dec We are seeking a Qlik Developer responsible for creating and maintaining Qlik Sense dashboards to support Group-level Operations management. The role involves developing dashboards focused on service quality and incoming call metrics to enhance monitoring and reporting. The ideal candidate will work with Qlik Sense and Snowflake to transform data into actionable insights that drive operational efficiency and strategic decision-making. Fluent English and French is a must for this position. If the role is of interest, please apply directly for more information.

Negotiable
Lyon
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PLC Developer

To my Zurich network, I am working with a Swiss consultancy who are urgently searching for a German speaking PLC Developer. Contract duration: 6 months Language: German Speaking Work model: 3 days onsite, 2 days remote Start date: ASAP Client: This consultancy have been in the market for 40+ years, their teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. They work with some of the largest companies across the globe, focusing on AI & Data, DevOps, Cybersecurity, Cloud and Applications & Software. Project: Their end customerdevelops and sells machines which are built on a software stack with 3 different programming languages: NC-Code, PLC-Code and .NET. Our client have been supporting the customer for several years on the .NET level, which communicates with the machine hardware over a PLC layer and a NC layer. Currently, the entire software stack is not running as stable as it should, and the main reasons are within the PLC and NC layer. Key initiatives: Analyse existing code (NC and PLC) Debug existing code Rework parts of the existing code Support the conception and architecture approach of a new PLC layer Required Experience: 8+ years' Experience in the following: PLC code development on Siemens PLC NC code development on Siemens Sinumerik ONE Software engineering / conception and architecture PLC development for machine manufacturers To be considered for this role, you MUST be able to speak fluent German (speaking and written)

Swiss Franc600 - Swiss Franc800 per day
Zurich
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Data Domain Lead

Representing an established IT consultancy, we are searching for a Data Lead to join on a freelance B2B contract on a 12 month extendable contract. Role: Data Lead Duration: 12 months (Long Term) Location: Warsaw Hybrid Working Flexibility Start Date: November B2B Freelance Contract Key Responsibilities: Working closely with your manager, you will lead the Data Platform and BI domain You will create standards of delivery and quality, taking into consideration frameworks and best practices Lead the existing data team and collaborate closely on projects Work and communicate closely with customers from a sales perspective Act as the technical referent in solving any issues Profile: Proven experience in delivering data platforms and working as a lead in a team Strong technical experience with experience in modern data platforms, working on Azure and BI environments specifically Good understanding of data architecture in creation and delivery of data platforms and data warehouses Solid leadership experience and great communication skills Fluent English and Polish

€350 - €500 per day
Warsaw
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Lead Data Engineer

Representing an established IT consultancy, we are searching for a Data Lead to join on a freelance B2B contract on a 12 month extendable contract. Role: Data Engineer Duration: 12 months (Long Term) Location: Warsaw Hybrid Working Flexibility Start Date: November B2B Freelance Contract Key Responsibilities: Develop and maintain the client's data and reporting platforms Take charge over the full lifecycle of the data platform implementation Provide expertise in Data Warehouse and Lakehouse development for large-scale clients Assist in the technical roadmap and architecture for Data platforms Profile: 5+ years of professional experience as a Data Engineer, working in configuration, deployment and maintenance with Data platforms Strong experience with Azure data services, Databricks and Python SQL scripts Good technical knowledge of CI/CD pipelines and automation practices Pre-sales experience in working with customers and providing solutions Fluent English and Polish

€250 - €400 per day
Warsaw
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Azure Data Architect

We are searching for an Azure Data Architect with one of our key clients, focussing on BI and Analytics. Role: Azure Data Architect Location: Lyon Duration: 6 months (Minimum 1 year project) Hybrid Working Start Date: ASAP (November) Role: Collect and understand project requirements Realisation of Proof of Concept Industrialisation of BI Projects and integration of data Work on the migration of BI solutions to Microsoft BI Participate in design workshops Technical monitoring and documentation Technical Context: Proven previous experience as a Data Architect, working specifically only Azure and BI environments Great understanding of data modelling Tools: Databricks on Azure, Power BI for analytics and BI, ADF (Azure Data Factory), as well as Python for specific developments. Proficient with SQL scripts The role involves configuring and managing Databricks clusters, requiring versatile skills across the entire data processing chain. Fluent English To find out more information, please apply directly with an updated CV!

€500 - €600 per day
Lyon
Apply

Lead Data Engineer

**Lead Data Engineer Opportunity in Dallas** Base: Up to 165K plus bonus Role Cannot Provide Sponsorship Are you a passionate Lead Data Engineer seeking an exciting new challenge? We're looking for someone with strong coding abilities and substantial experience to join our dynamic team based in the heart of Dallas. This is not just another job; it's a chance to make significant contributions using top-notch technology within the Azure data factory environment. *Role Highlights:* - Permanent, full-time position - Location: On-site at our modern office space in Dallas - Focus on Azure Data Factory technologies The successful candidate will have over 5 years of hands-on experience and demonstrated leadership skills. You'll be responsible for projects that require deep technical knowledge, managing processes efficiently while pushing technological boundaries. *Skills Required:* 1. **Strong Coding Expertise:** - Mastery level required due to the complex nature of tasks. 2. **Azure Knowledge & Experience:** - Proficiency in utilizing Azure services, particularly around data management tools like Azure Data Factory. 3. **Leadership Abilities**: - Proven track record leading teams or projects ensuring smooth execution from conception through delivery. 4. **Data Engineering Acumen**: - Strong experience with ETL pipeline work in addition to understanding migration within ADZ and Copy Data & Data Flow. If you are determined, enjoy solving challenging problems, possess excellent communication skills, thrive when immersed deeply into technicalities but also can see beyond code-this role could provide the perfect next step up your career ladder! Email me at with your most updated CV or to share any referrals for this position!

US$140000 - US$165000 per year
Dallas
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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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