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, Python, SQL) | Boston, Hybrid

Overview: One of Boston's most Prestigious Quantitative Investment Firms has an opportunity for an Enterprise Data Engineer to develop and support critical data processing and warehousing applications. This is a tech-first, data driven firm that is particularly focused on exceptional security since they manage almost $80 billion in assets under management on behalf of their clients. You'll be involved in implementation and maintenance of multiple proprietary databases, with a focus on an Azure Synapse Enterprise Data Warehouse. In a hands-on, technical capacity, you'll also have a chance to innovate while working with seasoned engineers in support of business groups. Responsibilities: Design and implement SQL and Python solutions for Portfolio Management, Operations, Marketing, and Client Reporting teams Maintain an Azure Synapse Enterprise Data Warehouse Migrate existing systems to a cloud environment Implement optimal data modeling and access patterns to allow for performant and cost-effective data use Support the production processing of data within the Enterprise data ecosystem Qualifications: 2-5 YOE in SQL and Python programming Experience in and passion for working in the financial services industry Experience migrating distributed applications to a cloud-based platform (Azure or AWS) Familiarity with distributed enterprise applications Understanding of Agile practices Bachelor's Degree in Computer Science Value Added (but not required): Experience with Azure data platforms (Synapse, SQL Database, Data Factory and Data Lake) Experience working with data (files, rest APIs, databases) in Python Experience working with data warehousing technologies Experience working with financial data systems Familiarity with NeoXam DataHub helpful but not required What makes this firm unique? Extremely competitive employee benefits program, 401K, and compensation package One of the best-rated work cultures and work/life balances in the industry (casual dress, collaborative teams, flexible work hours) Exceptional retainment due to quality of life and opportunity for internal growth and learning

Negotiable
Boston
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Data Science Manager

Position Overview: A global technology business is seeking a highly skilled and experienced Manager of Data Science to join their dynamic team. The ideal candidate will have a strong background in search and recommendation systems. As a Data Science Manager, you will play a pivotal role in leveraging data-driven insights to enhance user experiences, optimize business processes, and drive strategic decision-making across our global platform. You will be a hands-on technical leader while scaling this growing team. Bonus points for experience in ecommerce, retail, marketplaces, or a related field. Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree (e.g., MS, PhD) preferred. Proven track record of 5+ years of experience in data science, machine learning, or related roles, with a focus on ecommerce, marketplaces, or similar domains. Strong proficiency in programming languages such as Python or R, as well as experience with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy). Demonstrated expertise in designing, implementing, and optimizing search and recommendation algorithms, leveraging techniques such as collaborative filtering, content-based filtering, and deep learning. Experience with big data technologies (e.g., Hadoop, Spark, Hive) and distributed computing frameworks for processing and analyzing large-scale data sets. Excellent communication and interpersonal skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders and influence decision-making at all levels of the organization. Strong leadership qualities, with a proven ability to inspire and motivate teams, drive results, and foster a culture of excellence and innovation. Passion for leveraging data science and analytics to drive business impact and solve real-world problems in a fast-paced, dynamic environment.

Negotiable
Seattle
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Director of Data Science

A private equity firm with an emphasis on utilizing data science and analytics is seeking a Director of Data Science to directly support their PortCos and help define the growth of the larger Data program. Responsibilities: In this role, you will act as a hands-on technical contributor responsible for working directly with portfolio companies to optimize operations through data analysis and strategic consulting, as well as assisting in alpha generation/daily operations of the larger firm. Additionally, you will help lead a small team in defining and achieving technical goals as the firm continues to grow. Qualifications: Master's degree or higher 4+ years of prior full-time work experience Familiarity working (to some extent) with data science, data analysis, data engineering, and machine learning processes Business strategy/operations research oriented mind-set Prior consulting experience is preferred by not required If you are interested in breaking into private equity and being a key contributor at a dynamic firm - please apply today!

Negotiable
Houston
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Cloud Security & Infrastructure Engineer

I' m currently partnered with an exciting generative AI-powered research and data platform to bring on a Cloud Security & Infrastructure Engineer to their security team. This client is at the forefront of cutting edge developments in AI to provide new platforms for search, analysis and knowledge discovery. This is an amazing opportunity to play a pivotal role in deploying their AI stack on-prem and collaborating with client and development teams to make critical decisions regarding infrastructure and architecture. Your role will be instrumental in ensuring SOC2 compliance and scaling their solutions while working on the front lines with AI and financial data processing. This is an on site opportunity based in NYC with the potential for hybrid work. Compensation ranges from 120K - 160K Base + Equity. Qualifications: 6 + years of experience working as a cloud architect or similar role. Expertise with AWS or Azure Strong knowledge of cloud security concepts such as authentication/authorization using OAuth, and managing JWT tokens Expertise with Terraform or alternate infra as code languages Expertise with SOC2 or HIPAA Expertise with Python and Bash to automate work flows. Expertise with Kubernetes Ability to communicate effectively with technical and non technical stakeholders. If you enjoy a technical role where you are able to get your hands dirty and have immense impact, this could be the opportunity for you!

US$120000 - US$160000 per year
New York
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Product Manager

Job Title: Product Manager Position Overview: As the Product Manager for CRM, you will play a pivotal role in defining the roadmap and strategy for our CRM platform. You will collaborate closely with cross-functional teams, including engineering, design, marketing, and sales, to ensure that our CRM product aligns with the company's overall objectives and delivers exceptional value to our customers. Key Responsibilities: Lead the strategic development and optimization of our CRM system to ensure seamless interactions and enhance user engagement on a global scale. Drive the evolution of our customer service platform, creating user-centric solutions that redefine industry standards and enhance user satisfaction. Work collaboratively with cross-functional teams across the globe, adapting strategies to diverse markets, and ensuring a unified and exceptional customer experience. Utilize analytics and user feedback to inform product enhancements, maintaining our position at the forefront of technological advancements. Qualifications: Demonstrated success as a Product Manager with a focus on managing CRM systems and evolving customer service platforms. 4+ years as a product manager, relevant experience in customer service filed In-depth knowledge of CRM technologies and a keen interest in staying ahead of trends in the customer service tech landscape. Ability to navigate and excel in a globally dispersed and culturally diverse work environment. E-commerce experience is a plus Perks: Contribute to groundbreaking advancements in social media technology, influencing the way the world connects and communicates. Enjoy a competitive salary along with a comprehensive benefits package.

Negotiable
Seattle
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Principal Machine Learning Engineer

Come join a revolutionary Mental Health startup we're partnering closely with, who's primary focus in 2024 is capitalizing on the explosive development of cutting-edge Ai technology this past year! They're looking to bring on a Principal Machine Learning Engineer who specializes in breaking ground in new markets by applying state-of-the-art technologies, and who's interested in having a direct impact on consumers. What's the Role Really Look Like? Leading new ML initiatives dedicated to supporting the recommendation of various patients to relevant professionals within our network, defining its mission, goals, and strategy. Develop and execute a strategic roadmap for ML and AI applications, aligning technology goals with the company's mission. Define key milestones, timelines, and success metrics to track progress effectively. Bring a broad awareness of the landscape of ML and AI-based tools for solving common end-user problems (e.g. recommendation systems, prediction, generative AI) and taking active steps to provide solutions. Partner with a cross-functional team of data scientists, software engineers, product managers, and designers to deliver AI powered products that will have a direct impact on the well-being of our users. Who Are You? Knowledgeable: You have intimate knowledge of machine learning fundamentals, modeling techniques, productionizing machine learning models, and modern machine learning tool stacks People First: You love the process of analyzing and creating, but also share our passion to help people in need. You know at the end of the day, it's about making the right decisions to provide the best care to our patients. Solution-Oriented: Hands-on expertise in designing, training, fine-tuning hyperparameters, evaluating ML models, and deploying them effectively, leading from the front. Open-Minded: A commitment to staying updated with industry trends and emerging technologies, in addition to being able to always be open to opportunities and new ideas.

US$200000 - US$250000 per year
Seattle
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Data & Analytics News & Insights

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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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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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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