1 to 25 of 223 Analytics Jobs in Gloucester

experience in a Data Engineering or Development role Strong SQL skills (essential); Python and C# (desirable) Hands-on experience with: Azure SQL, Azure Synapse Analytics, Azure Data Lake Microsoft Power BI, Power Automate Cloud platforms – Azure (primary), AWS (desirable) Experience with APIs, SaaS data integration, and ERP systems (e.g. Microsoft More ❯

to drive business insights and decision-making Build and deploy machine learning models to solve real business problems Develop and maintain data pipelines and analytics infrastructure on Azure Collaborate with cross-functional teams to identify opportunities for data-driven improvements Establish best practices for data science workflows, model deployment, and More ❯

datasets from various sources into relevant data structures. Data Governance: Ensure data is consistent, reliable, and stored securely Continuous Improvement : Drive process improvements in analytics, reporting, and stakeholder communication. Key skills required; Experience working in a similar role, preferably in Financial Services sector Excellent SQL skills including writing complex queries More ❯

As we continue to grow, we're excited to offer a valuable opportunity for a Data Analysis Intern to become part of our vibrant analytics team. This paid internship is ideal for recent graduates or aspiring data professionals looking to kick-start their careers in data analysis. You’ll collaborate More ❯

initiatives Data Architecture & Tools Collaborate with architecture and IT teams on infrastructure (e.g., data lakes, real-time pipelines) Evaluate and recommend tools for BI, analytics, integration, and modelling Data Quality & Ownership Monitor and enhance data quality through validation processes and automation Assign and oversee data owners for critical datasets and More ❯

Job Title: Senior Analytics Consultant Location: United Kingdom (Hybrid) Day Rate: 600 p/d (Outside IR35) About the company: I'm working with a digital consultancy at the forefront of data-driven transformation within the sports industry. They partner with some of the world's most recognised football organisations … and performance. Key clients include Arsenal FC, Brighton & Hove Albion FC, and leading football councils, and they are proud to support journeys with tailored analytics, CRM integration, and digital strategy. Role Overview: My client is seeking an experienced and dynamic Analytics Consultant to join a growing team. In this high … You will work closely with cross-functional teams and clients, manage a small team of analysts and data scientists, and oversee the delivery of analytics projects from inception through to execution. This is a hands-on leadership role for someone who thrives at the intersection of technology, analytics, and strategy. More ❯

Power BI and DAX (for business intelligence reporting). Strong experience working on ETL processes. Great programming ability to develop stored procedures & for data analytics with Python/R. You have the ability to extend and debug using C# code. Experience using Git source control and deployment pipelines (Azure DevOps More ❯

compliance with organisational standards. Maintain project documentation, including charters, plans, schedules, and risk logs. Facilitate project reviews, audits, and lessons-learned sessions. Reporting and Analytics Prepare and deliver project reports, including dashboards, KPIs, and executive summaries. Monitor and report on project performance metrics, such as scope, budget, and schedule adherence. More ❯

focus on research and development. As a Junior Data Engineer, you will play a crucial role in developing the data infrastructure that supports the analytics and operational functions of our business enterprise. Your responsibilities will include assisting in the design, construction, and maintenance of data systems. Role & Responsibilities: Data Infrastructure More ❯

For additional information about Canadian Solar, visit www.canadiansolar.com Position Title: Sr System Performance Analyst Department: Engineering Entity: CS e-Storage Reports To: BESS Data Analytics Manager Location: UK, Remote Position Summary: CS e-STORAGE is looking for a system performance analyst to carry out the in-depth analysis of performance More ❯

will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: www.datatech.org.uk More ❯

domains, and technologies. The GenAI Strategy at SoftServe aims to spearhead the development and implementation of intelligent software systems that integrate GenAI, AI, Data Analytics, MLOps, and Cloud infrastructure. IF YOU ARE A holder of a Ph.D. or master's Degree in Computer Science, or a related field Experienced in More ❯

bps. As a Staff Frontend Developer, your responsibilities will include: Lead frontend architecture and development of scalable, high-performance UI components for financial analytics platforms, ensuring seamless data visualisation and interaction Optimise user experience by collaborating with designers and engineers to create intuitive, responsive, and accessible interfaces Develop and optimise More ❯

of relational databases and data warehouse principles Excellent documentation and written communication skills Ideally, experience with some or all of the following Azure Synapse Analytics, Tabular Editor 3, Microsoft Fabric and Azure Data Platform tools. Confident working with stakeholders at all levels across the business Experience working in large enterprise More ❯

Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments Why Join? This is more than a job, it's an opportunity More ❯

and interpreted. Assist in creating dashboards and visualizations for decision-making. Required Qualifications: Basic knowledge of Python and/or SQL. Interest in data analytics, statistics, or machine learning. Familiarity with tools like Excel, Pandas, Numpy, or visualization libraries. Strong communication and time management skills. Preferred (Not Mandatory): Previous coursework More ❯

Data driven profile, with experience with excel reports, crossing data from multiple sources using formulas, pivot tables and charts. Education: Educational Background on Data Analytics, Production/Manufacturing Engineering, Logistics or Administration. Desired IT Background: Intermediate to Advanced Skills on excel (VBA, Power Query, Custom Functions and other) Business Intelligence More ❯

5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES More ❯

Data Analytics Intern (Remote, Summer Internship – 3 Months) Company: HIRIST – IT Recruitment Partner (Hiring on behalf of a reputed IT client) Location: Remote Job Type: Internship (Part-time, Temporary, Remote) Duration: 3 Months | Flexible Start Date | 15–20 hours/week commitment About the Opportunity: HIRIST is hiring Data Analytics … program with one of our IT clients. This opportunity is designed for students or aspiring professionals to gain hands-on experience working on real analytics projects under expert mentorship. Key Responsibilities: Collect, clean, and analyze data from various sources. Assist in generating dashboards and reports to communicate insights. Work with … Excel, SQL, and analytics tools to support data-driven decisions. Contribute to ad-hoc data requests and presentations for stakeholders. Support the team in identifying trends and patterns from business data. Required Qualifications: Familiarity with Excel, Google Sheets, or other spreadsheet tools. Basic knowledge of SQL or data query tools. More ❯

Engineer will design and implement complex data flows to connect operational systems, build and maintain data environments, evaluate and develop tools to improve data analytics platforms and recognise opportunities to reuse existing data flows between teams. Requirements This is a leadership role and requires not only demonstrable experience of leading More ❯

analysis projects and shape strategy A supportive environment that encourages growth and innovation What we’re looking for: 5+ years of experience in data analytics with advanced SQL skills (Snowflake, BigQuery, etc.) Strong experience with BI tools – ideally Looker (LookML a definite plus) Excellent communication skills and the confidence to More ❯

without waiting to be asked. Key Tech Experience Needed: Azure Data technologies (Synapse, Databricks, Data Factory, Data Lake, Microsoft Fabric) Azure DevOps, Git Stream Analytics, Event Hubs T-SQL, Python Power BI expertise, including DAX What's On Offer: Comprehensive, uncapped training—your growth is fully supported. Meaningful benefits (Private More ❯

MX.3); experience with multiple modules preferred. Leadership : Proven ability to lead cross-functional teams in dynamic, high-pressure environments. Analytical Thinking : Skilled in workforce analytics, training effectiveness measurement, and capability modelling. Communication : Excellent written and verbal communication skills; strong stakeholder management and presentation abilities. Tools : Proficiency in project management and More ❯

and scientists. Present complex data findings in clear, compelling ways to leadership and stakeholders. Evaluate and implement the latest tools and technologies to enhance analytics capabilities. Champion a data-first culture across the company. About You Proven experience leading high-performing data teams, with a focus on mentorship and development. More ❯

with the CDO to shape data strategy, governance, and compliance frameworks Cloud & AI/ML Initiatives: Lead Azure AI/ML adoption, integrating advanced analytics and machine learning capabilities Modern Data Stack: Oversee the implementation of Snowflake, dbt, and other data processing frameworks for optimal performance Stakeholder Collaboration: Engage with More ❯