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.

​

If you're a Data & Analytics professional, please register your CV.

Register your CV

​

If you're looking for Data & Analytics talent, please register your vacancy today.

Register your vacancy
or
Request a call back

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.

Looking to hire? Request a call back

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.

Azure Data integration Engineer

Azure Data Integration Engineer Contract: 12 Month Extendable Location: REMOTE TO SWITZERLAND (with occasional visits to their site in the North ofSwitzerland) Language: English I am assisting a reputable holding company who is in the search for a Azure Data Integration Engineer to work side by side with the Lead Data integration Engineer on a external basis Currently, they have one Data Integration Engineer handling all BAU (Business As Usual) tasks independently. We need someone to support him as his right-hand person and to ensure continuity in his absence. This role is crucial for maintaining and enhancing our Azure Cloud Infrastructure. Roles and Responsibilities: Integrate all data within our Azure Cloud Infrastructure, ensuring seamless data flow and connectivity. This includes setting up data pipelines, configuring data sources, and ensuring data is accurately ingested into the system. Monitor the data interface on our Azure Cloud Infrastructure, identifying and resolving any issues promptly. This involves setting up alerts, performing regular health checks, and ensuring data availability and reliability. Analyze all data flowing through our Azure Infrastructure to ensure data integrity, accuracy, and performance. This includes performing data validation, identifying anomalies, and optimizing data processing workflows. Participate in any other Azure data-based projects that the company undertakes during this timeframe. This could involve collaborating with other teams, contributing to project planning, and implementing new data solutions to support business objectives. Act as the right-hand person to the lead Data Integration Engineer, providing support and ensuring continuity in his absence. This includes understanding the existing data architecture, maintaining documentation, and being prepared to step in and manage tasks independently when needed. Skills and Qualifications: Strong background in Microsoft Azure, with hands-on experience in integrating Azure data. Experience in monitoring and analyzing data within Azure Cloud Infrastructure. Ability to set up monitoring tools, create dashboards, and generate reports to track data performance. Proficiency in data integration tools and techniques, with a solid understanding of cloud-based data management. Knowledge of scripting and automation tools to streamline data processes. Strong analytical and problem-solving abilities, with a focus on delivering high-quality solutions. Ability to troubleshoot and resolve data-related issues efficiently. Ability to work effectively in a collaborative, fast-paced environment. Strong interpersonal skills and the ability to build positive relationships with team members and stakeholders.

Negotiable
Schweizer-Reneke
Apply

Senior Manager of Privacy Engineering

Senior Manager of Privacy Engineering Orlando, FL We are thrilled to announce an opening for a Senior Manager of Privacy Engineering at a vibrant Orlando, Florida office. This pivotal role is aimed at a seasoned professional who will lead the incorporation of comprehensive privacy measures into our technological innovations, ensuring adherence to 'Privacy by Design' principles. The ideal candidate will possess an advanced degree in software engineering, extensive experience in implementing privacy-enhancing technologies, and a thorough grasp of global data protection regulations. Your responsibilities will include enforcing compliance with stringent international legal frameworks, including but not limited to the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States. You will also engage with cross-functional teams to foster a culture of security-first thinking. Leveraging your expertise in global communications, you will be instrumental in setting and enhancing privacy standards across our digital interfaces. Your strategic input will ensure that our digital strategies are not only compliant but also set benchmarks in data privacy, aligning with ongoing changes in international privacy and security standards. This will involve regular audits and updates to our privacy protocols to stay ahead of the curve. A crucial component of your role will be the continuous refinement of our data management practices. You will oversee the development of cutting-edge methods for handling sensitive data, ensuring utmost integrity and confidentiality. This includes architecting secure data storage solutions, enhancing data encryption methods, and implementing rigorous access controls and audit trails to prevent unauthorized data access and leaks. This role requires not only a profound technical and regulatory acumen but also a visionary leader capable of driving innovation in privacy technologies amidst a rapidly changing digital landscape. If you are looking for a role where you can make a significant impact in the field of privacy engineering, apply today to join our forward-thinking team.

Up to US$115000 per year
Orlando
Apply

Lead Salesforce Data Engineer

Job Title: Salesforce Data Engineering Lead We are seeking a Salesforce Data Engineering Lead to design, implement, and manage data-intensive applications related to Salesforce for the company. This role provides subject matter expertise for our integrated Informatica CC360 Master Data Management solution within Salesforce and works closely with the company's Global Technology (GT) teams to deliver innovative data solutions using a range of technologies. The Salesforce Data Engineering Lead also collaborates with vendors and managed service providers (MSPs) for project development and process optimization, while providing level 3 support for incidents and service requests. You will also mentor level 1 and level 2 associates and MSP teams. Key Responsibilities: General Contributions: Support team, department, and business objectives by conducting detailed quantitative and qualitative analysis of business processes and projects. You may also manage small-scale projects or elements of larger ones. Solve complex business requests and make decisions for non-routine issues with moderate risk, ensuring smooth business operations. Assist senior associates in achieving business results by identifying areas for business process improvement, contributing to operating plan development, and ensuring budget adherence. Show personal awareness of strengths and areas for growth, proactively working to enhance skills and knowledge. Perform additional duties as required. Role-Specific Contributions: Partner with Business Analysts and Architects to understand business requirements for new features or capabilities. Convert business requirements and architectural guidance into technical solution documentation and diagrams to support supplier bids. These documents will outline the technical details for the supplier's development work. Design scalable, high-performance data solutions within the Salesforce ecosystem, ensuring alignment with enterprise data management goals, and applying expertise in data sourcing, integration, governance, and security. Develop and document strategies for data migration and integration, ensuring data accuracy, consistency, and traceability during migration and ongoing operations. Lead the development of reporting and dashboard solutions leveraging Salesforce data, meeting business and GT team requirements. Review supplier bids and proposed work orders, providing guidance on technical designs and solutions. Oversee supplier-developed designs and test plans to ensure compliance with approved specifications and company's application development standards. Collaborate with project management roles to set delivery requirements and oversee project execution. Review supplier work products to ensure they meet design specifications and company's best practices. Provide advanced (Level 3) support during production incidents, resolving outages and sharing knowledge to enable suppliers to handle similar issues independently in the future. Contribute to company's Best Practices Library by enhancing technical standards. Perform other relevant tasks as assigned. Candidate Profile: General Requirements: Professional background with expertise in specific disciplines (e.g., Information Technology, Accounting). A college degree or equivalent work experience is required. Specific Requirements: Education: Bachelor's degree in Information Technology or a related field, or equivalent work experience. Preferred Certifications: Database-related certifications (e.g., Azure Data Engineer, Oracle Database SQL Certified Associate). Master Data Management (MDM) certifications (e.g., Informatica Master Data Management Developer). Relevant Salesforce certifications (e.g., Admin, Platform Developer, Integration Architect). Experience: 5-8 years of experience in developing data solutions using integration and transformation tools such as Informatica IDMC or similar platforms (e.g., Microsoft SSIS). 2+ years of experience supporting Master Data Management processes in a highly integrated environment. Informatica CC360 experience is ideal, but other tools (e.g., IBM Infosphere, SAP MDM) are also relevant. Experience with globally sourced operating models and working with suppliers for application development services. Familiarity with project management tools such as Atlassian Jira. Experience with Salesforce application design, delivery, and extension is desirable. Skills and Attributes: Analytical & Strategic Thinking: Strong analytical skills for troubleshooting and identifying system issues, with a proactive approach to resolving potential future challenges. Technical Expertise: Experience in designing and developing data solutions using Informatica CC360, Salesforce Apex & Flows, Heroku Connect, and similar tools. Ability to support Master Data Management (MDM) processes and leverage SQL for data querying and modification. Experience in enterprise reporting and analytics tools. Proficient in debugging and troubleshooting data-related applications (Splunk experience is a plus). Familiarity with Salesforce data processing, integration, and customization is highly advantageous. Project Management Skills: Ability to gather business requirements, plan, execute, and deliver Salesforce solutions on time and within budget. Interpersonal Skills: Effective communication to explain technical concepts to non-technical stakeholders. Strong customer service focus to understand and meet client needs. Collaborative mindset to work with Global Technology teams, vendors, and MSPs to drive successful project outcomes. Leadership capabilities to inspire and guide teams in the successful implementation of data solutions. Additional Attributes: Adaptability to change within a dynamic, matrixed environment. Curiosity and commitment to continuous learning, staying up-to-date with Salesforce and industry advancements. This role provides an opportunity to play a key part in delivering impactful data solutions that support company's growth and operational excellence.

US$80000 - US$140000 per year + Bonus
Orlando
Apply

Backend Developer

About the Company A leader in the biopharmaceutical industry, our client specializes in cutting-edge predictive digital twin technology to drive innovation in biopharmaceutical process development and manufacturing. By integrating artificial intelligence with biochemical networks, they enhance productivity, product quality, and process robustness. Their solutions support top biopharma companies worldwide in optimizing cell line development, media formulation, and process control-reducing experimental efforts, costs, and time to market. Position: (Senior) Backend Developer We are seeking a skilled (Senior) Software Engineer to join a fast-paced, innovative team. This role involves designing, developing, and deploying scalable software systems critical to the company's mission of delivering advanced biopharma solutions. The successful candidate will take ownership of core platform components, contribute to system architecture decisions, and ensure the development of high-quality, reliable, and secure software products. The role requires close collaboration with cross-functional teams, including data scientists, biopharma experts, and product managers, to create user-friendly and high-performance solutions. Key Responsibilities Full-Stack Development: Develop and maintain backend services, APIs, and user interfaces with a focus on scalability and reliability. Implement and optimize platform features to enhance functionality and performance. System Architecture & Design: Lead discussions on system architecture, ensuring scalability, resilience, and maintainability. Solve complex technical challenges while aligning the system with long-term business goals. Machine Learning Integration: Work closely with ML engineers and data scientists to integrate machine learning models into production systems. Optimize ML-powered features for performance and scalability. Performance Optimization: Identify and resolve performance bottlenecks across the platform. Optimize code and algorithms for efficiency, particularly when handling large datasets. CI/CD & Automation: Maintain CI/CD pipelines to ensure seamless deployment and efficient development workflows. Implement best practices for testing, debugging, and version control. Security & Code Quality: Enforce security best practices, ensuring compliance with industry standards for handling sensitive biopharma data. Maintain clean, high-quality code through reviews and testing. Leadership & Collaboration: Mentor junior and mid-level engineers, fostering a culture of continuous learning. Work closely with product teams to align technical solutions with business needs. Documentation: Maintain detailed documentation for system architecture, codebases, and workflows to ensure knowledge transfer and reproducibility. Technical Expertise Software Development: Proficiency in Python and full-stack development, including front-end, back-end, databases, and API design. Expertise in microservices architecture, RESTful APIs, and version control (Git). MLOps & Machine Learning: Experience with MLOps tools like Flyte and backend frameworks such as FastAPI or Flask. Knowledge of deploying and scaling ML models using TensorFlow, PyTorch, or Jax. Cloud & Infrastructure: Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). Experience with infrastructure-as-code tools like Terraform. Data & Security: Understanding of data engineering, database design, and security best practices for handling sensitive biopharma data. Soft Skills Strong problem-solving ability to tackle complex technical challenges. Excellent communication skills to collaborate effectively across teams and convey technical concepts to non-technical stakeholders. Leadership and mentorship skills to support junior engineers. Ability to work independently while contributing to broader team objectives. This is an opportunity to play a key role in an innovative, high-impact environment at the forefront of biopharma technology.

Negotiable
Frankfurt (Oder)
Apply

Director of Data

Position: Director of Data As the Director of Data, you will be at the helm of building and leading a new team dedicated to driving customer satisfaction and business growth. Reporting to the VP of Product & Engineering, you will play a key role in shaping innovative product experiences that differentiate us in the competitive landscape. Key Responsibilities: Craft and Lead Data Strategy: Design and implement a forward-thinking data strategy that aligns with company goals and enhances customer value. Team Building and Leadership: Assemble and oversee a high-performance, cross-functional team skilled in data analytics, engineering, science, and domain expertise. Cultivate a culture of collaboration and continuous development. Cross-Functional Collaboration: Work closely with the expanding Go-to-Market (GTM) team to address key data needs that drive top-line revenue. Play a key role in fostering a self-service data environment across the organization. Strengthen Data Capabilities: Develop cutting-edge real-time data solutions that blend award availability and pricing data with customer insights. Lead your team in building smarter, more personalized data models and providing actionable insights. Translate Data into Value: Partner with product, engineering, and other teams to embed loyalty data insights into product offerings, driving customer engagement and contributing to overall revenue growth. Who You Are: You are an experienced and results-driven data leader, adept at building and scaling data functions in rapidly evolving environments. You thrive in uniting data engineering, science, and strategy, and are passionate about leading a team tackling complex challenges in the loyalty space. The following qualifications are ideal for this role: Leadership Experience: Proven success in leading and growing cross-functional teams, including data engineers and data scientists. You excel in developing talent and fostering a collaborative, high-performance environment. Technical Expertise: Strong background in data engineering and science, with the ability to design data systems from scratch. You've led the development of data capabilities from the ground up and are well-versed in real-time data processing and delivery at scale. Strategic Thinker: Demonstrated success in creating and executing data strategies that generate significant business impact. You understand how to link data initiatives with revenue-driving efforts to create both customer value and company growth. Passionate and Curious: Eager to dive into the world of loyalty programs, pricing models, and award availability, and driven to turn these insights into meaningful outcomes that benefit customers.

US$190000 - US$230000 per year + Equity
New York
Apply

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
Apply

Director of Engineering - Knowledge Graphs

Our client is a seeking a highly skilled and experienced Director of Engineering with a strong background in Knowledge Graphs and graph technology. This role will be pivotal in driving the development and implementation of advanced graph-based solutions to enhance our digital identity verification and fraud prevention capabilities. Key Responsibilities: Lead and manage a team of engineers focused on developing and optimizing Knowledge Graphs and graph-based technologies. Collaborate with cross-functional teams, including data science, product management, and operations, to design and implement scalable graph solutions. Drive the architecture, design, and development of graph databases and related technologies to support our product offerings. Ensure the reliability, performance, and security of graph-based systems. Stay current with industry trends and advancements in Knowledge Graphs and graph technology, and apply this knowledge to improve our solutions. Mentor and develop engineering talent, fostering a culture of innovation and continuous improvement. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 10+ years of experience in software engineering, with at least 5 years in a leadership role. Proven expertise in Knowledge Graphs, graph databases (e.g., Neo4j, Amazon Neptune), and graph-based algorithms. Strong understanding of data structures, algorithms, and software design principles. Experience with large-scale data processing and distributed systems. Excellent problem-solving skills and the ability to think critically and strategically. Strong communication and interpersonal skills, with the ability to collaborate effectively with diverse teams. Passion for innovation and staying ahead of industry trends. Preferred Qualifications: Experience in the identity verification or fraud prevention industry. Familiarity with machine learning and AI techniques related to graph technology.

US$250000 - US$325000 per year
United States of America
Apply

Machine Learning Engineer

Machine Learning Engineer Our client is a leading clean power company. Position Overview: Seeking a Machine Learning Engineer specializing in time series data analysis to develop and optimize machine learning solutions for forecasting, anomaly detection, and predictive analytics. Key Responsibilities: Develop and implement machine learning models for time series data. Design scalable data pipelines. Optimize models for performance and scalability. Analyze complex datasets for actionable insights. Stay updated on machine learning advancements. Collaborate with cross-functional teams and mentor team members. Ensure compliance with ethical guidelines and privacy laws. Qualifications: Bachelor's or master's degree in a relevant field. Proficiency in machine learning frameworks (TensorFlow, PyTorch, Keras). Expertise in time series data and programming languages (Python, R). Experience with big data technologies and CI/CD practices. Strong problem-solving and collaboration skills. Preferred Skills: Experience in the solar industry and proficiency with Microsoft Excel. Benefits: Attractive compensation, health and dental insurance, 401k plan, paid cell phone service, employee share plan, company-paid lunch, and gym membership.

US$160000 - US$185000 per year
Stamford
Apply

Machine Learning Engineer

Machine Learning Engineer Our client is a leading clean power company. Position Overview: Seeking a Machine Learning Engineer specializing in time series data analysis to develop and optimize machine learning solutions for forecasting, anomaly detection, and predictive analytics. Key Responsibilities: Develop and implement machine learning models for time series data. Design scalable data pipelines. Optimize models for performance and scalability. Analyze complex datasets for actionable insights. Stay updated on machine learning advancements. Collaborate with cross-functional teams and mentor team members. Ensure compliance with ethical guidelines and privacy laws. Qualifications: Bachelor's or master's degree in a relevant field. Proficiency in machine learning frameworks (TensorFlow, PyTorch, Keras). Expertise in time series data and programming languages (Python, R). Experience with big data technologies and CI/CD practices. Strong problem-solving and collaboration skills. Preferred Skills: Experience in the solar industry and proficiency with Microsoft Excel. Benefits: Attractive compensation, health and dental insurance, 401k plan, paid cell phone service, employee share plan, company-paid lunch, and gym membership.

US$150000 - US$185000 per year
Stamford
Apply

Data Software Engineer

Data Software Engineer Location: Houston, Texas (Hybrid) Company Overview: Our client, is a leader in energy space, and they're backed by a world renowned investment firm Position Summary: Key Responsibilities: Data Pipelines: Design and implement data pipelines for ML and AI models using Azure and Databricks. DataOps/MLOps: Manage routine operations. Domain Expertise: Apply mathematical and statistical knowledge to assess data quality and model insights. Trading Tools: Maintain real-time trading tools for decision-making. Technical Translation: Simplify complex concepts for non-technical stakeholders. Innovation: Research trends in data engineering, AI, and energy storage. Collaboration: Work with engineering, finance, and operations teams. Requirements: Master's in Mathematics, Statistics, Computer Science, or related field. 5+ years in data engineering, ML, and Excel-based workflows with Visual Basic. Proficiency in Python, PySpark, and Visual Basic. Experience with cloud platforms (Azure, Databricks) and big data technologies (Hadoop, Spark). Knowledge of optimization techniques in energy storage.

US$140000 - US$160000 per year
Houston
Apply

Director of Data Governance

Overview: Glocomms is partnered with a major supplier in the US focused on wholesale distribution across a variety of industries with over 100 distribution centers across North America. We are looking for a Director of Data Governance to join this exciting team! This position entails developing and spearheading the strategic direction and requirements for all data domains within the business unit. The role includes offering guidance and leadership in the creation, implementation, maintenance, and enforcement of data standards. Qualifications: Bachelor's Degree in related field with 9+ years of experience and 3+ years in a leadership position Proficiency in crafting and implementing data strategies Knowledge or experience with SAP systems Experience in data governance and standards management Strong program management abilities Background in architecture design or engineering Experience with AI technology is a plus Key Responsibilities: Oversee the governance of data processes and coordinate cross-functional data Direct and manage data changes with thorough control, oversight, approval, communication, and documentation Relay the implications of data changes and work alongside functional and IT leaders to identify the best solutions Implement and follow industry standards and best practices in data governance and management Maintain the integrity and quality of data by conducting regular audits and quality reports Engage in the organization's formal SDLC Process team Responsible for achieving planned results within the organization's policies and guidelines. May manage multiple layers of managers or directly supervise a senior-level staff of professional individual contributors. If you're interested, please apply in directly!

US$150000 - US$200000 per year
Atlanta
Apply

Enterprise Account Executive

About the Role Our platform is designed to help enterprises deploy, manage, and optimize their use of cutting-edge technologies in production environments. By simplifying workflows and offering a customizable, enterprise-grade solution, we enable organizations to adopt modern infrastructure practices without the steep learning curve or operational overhead. This role goes beyond selling - you'll be instrumental in shaping the go-to-market strategy and establishing the processes and team required for long-term growth. Key Responsibilities Sales Execution: Own the entire sales cycle from prospecting to closing, focusing on driving revenue growth through high-value enterprise accounts. Account Strategy: Develop account plans to identify key opportunities and tailor solutions to meet specific customer needs. Market Positioning: Articulate the business and technical value of the platform to diverse stakeholders, from engineers to C-suite executives. Customer Enablement: Collaborate with technical teams to ensure customers successfully implement and maximize the value of the platform. Team Building: As an early member of the sales team, contribute to the development of scalable sales processes and lay the groundwork for future team expansion. Pipeline Growth: Identify and target greenfield opportunities, building relationships with enterprise decision-makers across industries. What We're Looking For Track Record of Success: Consistent overachievement of revenue targets in enterprise software, infrastructure, or DevOps-related sales. Visionary Leadership: Desire to grow into a leadership role, including mentoring junior sales professionals and shaping the future sales team. Technical Acumen: Familiarity with modern infrastructure practices, cloud environments, and the challenges of integrating complex tools in enterprise settings. Consultative Approach: Ability to deeply understand customer challenges and position tailored solutions that drive measurable outcomes. Relationship Building: Proven ability to engage with and influence stakeholders across technical and business functions. Self-Starter: Comfort working in a high-growth, entrepreneurial environment where ambiguity is the norm and initiative is key. Why Join Us? A competitive compensation package with uncapped earning potential. Room for career growth, including opportunities to transition into leadership roles. Equity opportunities in a fast-growing, well-funded startup. A flexible, - hybrid work environment. Access to a forward-thinking team at the forefront of innovation in the software and infrastructure space.

US$150000 - US$200000 per year
New York
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.

Read More
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.

Read More
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!

Read More
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.​​​

Read More
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. ​​​

Read More
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. ​​

Read More
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

Read More

Looking for something specific?

View more blogs