126 to 150 of 3,863 Permanent Business Intelligence Jobs

Role Title: Senior Data Engineer Department: IT and Business Change Reports To: Lead Stack Azure BI Developer Contract Type: Permanent Working Arrangements/Pattern: Full Time, 35 hours Working Location: FatFace HQ, Havant Who are we? For over 30 years, we’ve travelled, we’ve laughed, we’ve grown. We believe life is for living and more fun with … architectural improvements whilst ensuring the reliability, accuracy, and performance of ETL processes. This role is ideal for someone with strong experience in Azure cloud architecture, SSAS, data modelling, and BI pipelines, who thrives in a collaborative environment and is eager to drive innovation in data infrastructure. Role Responsibilities Apply best practice to Star/Snowflake schema data modelling with considerations … reviews and providing constructive feedback. Assist other members of the Data & Reporting team with integration and system-specific tasks. Develop and update technical documentation. Experience with reporting software (Power BI) is essential Act as a mentor to junior team members Align self to the company's social and environmental mission and champion any actions that you can directly impact at More ❯

Role Title: Senior Data Engineer Department: IT and Business Change Reports To: Lead Stack Azure BI Developer Contract Type: Permanent Working Arrangements/Pattern: Full Time, 35 hours Working Location: FatFace HQ, Havant Who are we? For over 30 years, we’ve travelled, we’ve laughed, we’ve grown. We believe life is for living and more fun with … architectural improvements whilst ensuring the reliability, accuracy, and performance of ETL processes. This role is ideal for someone with strong experience in Azure cloud architecture, SSAS, data modelling, and BI pipelines, who thrives in a collaborative environment and is eager to drive innovation in data infrastructure. Role Responsibilities Apply best practice to Star/Snowflake schema data modelling with considerations … reviews and providing constructive feedback. Assist other members of the Data & Reporting team with integration and system-specific tasks. Develop and update technical documentation. Experience with reporting software (Power BI) is essential Act as a mentor to junior team members Align self to the company's social and environmental mission and champion any actions that you can directly impact at More ❯

Our strength lies in leveraging proprietary data, technology and strategic expertise to help clients boost participation and deliver measurable health, social and economic outcomes. We operate through two core business units: Sport Bodies: Supporting international, national and regional federations to develop strategy, assess impact and strengthen governance and performance. Operators: Partnering with global health & fitness operators, local authorities, leisure … transforms how communities engage with sport and activity, guiding more targeted investment and driving improved population health. To support this, we’ve built a GDPR-compliant, AI-powered data intelligence platform that hosts one of the world’s largest curated activity datasets, driving many of our insights and recommendations. Our work includes: Advising on how physical activity can drive … and the confidence to explain complex analytical findings in clear, accessible ways Solid IT skills, particularly across Microsoft Office, and ideally experience with data tools such as Excel Power BI, Tableau or Python-based analytics. Familiarity with Python or R for data manipulation and reporting, and an understanding of data governance or reporting frameworks Knowledge of SQL databases or similar More ❯

Our strength lies in leveraging proprietary data, technology and strategic expertise to help clients boost participation and deliver measurable health, social and economic outcomes. We operate through two core business units: Sport Bodies: Supporting international, national and regional federations to develop strategy, assess impact and strengthen governance and performance. Operators: Partnering with global health & fitness operators, local authorities, leisure … transforms how communities engage with sport and activity, guiding more targeted investment and driving improved population health. To support this, we’ve built a GDPR-compliant, AI-powered data intelligence platform that hosts one of the world’s largest curated activity datasets, driving many of our insights and recommendations. Our work includes: Advising on how physical activity can drive … and the confidence to explain complex analytical findings in clear, accessible ways Solid IT skills, particularly across Microsoft Office, and ideally experience with data tools such as Excel Power BI, Tableau or Python-based analytics. Familiarity with Python or R for data manipulation and reporting, and an understanding of data governance or reporting frameworks Knowledge of SQL databases or similar More ❯

Our strength lies in leveraging proprietary data, technology and strategic expertise to help clients boost participation and deliver measurable health, social and economic outcomes. We operate through two core business units: Sport Bodies: Supporting international, national and regional federations to develop strategy, assess impact and strengthen governance and performance. Operators: Partnering with global health & fitness operators, local authorities, leisure … transforms how communities engage with sport and activity, guiding more targeted investment and driving improved population health. To support this, we’ve built a GDPR-compliant, AI-powered data intelligence platform that hosts one of the world’s largest curated activity datasets, driving many of our insights and recommendations. Our work includes: Advising on how physical activity can drive … and the confidence to explain complex analytical findings in clear, accessible ways Solid IT skills, particularly across Microsoft Office, and ideally experience with data tools such as Excel Power BI, Tableau or Python-based analytics. Familiarity with Python or R for data manipulation and reporting, and an understanding of data governance or reporting frameworks Knowledge of SQL databases or similar More ❯

across Marketing, Commercial, Delivery, and Business Development to provide actionable insights, drive efficiencies, and support strategic growth. Role Overview: We are seeking a highly skilled Fabric/Power BI Data Analyst to join our Data & Analytics team. This role is pivotal in improving data quality, building robust data pipelines, and producing automated dashboards that drive decision-making across the … insights and solutions clearly to stakeholders. Hard Skills/Technical Requirements: Must-Have: Microsoft PL-300 Certification Minimum 1 year of experience in Data Analytics, Data Engineering, or Power BI Knowledge of ETL processes within Microsoft Fabric Experience designing and implementing Dataflows and Dashboards in Power BI Service Strong understanding of REST API principles Advanced DAX skills Advanced Power Query … Python for data analysis Spark & PySpark experience Evidence of dashboards or system integration projects Knowledge of CI/CD in Microsoft Fabric/Azure DevOps Familiarity with latest Power BI features such as field parameters and direct lake Soft Skills: Ability to independently research and interpret technical documentation Strong documentation and code annotation discipline Consulting-level problem-solving capability for More ❯

Data Analyst - Procurement We are seeking a detail-oriented and collaborative Data Analyst to provide data standardisation for a new data management solution. This role bridges business and technical teams, ensuring data integrity, consistency, and usability across systems and processes. KEY ACCOUNTABILITIES System Deployment Support Collaborate with functional and technical teams to define data requirements for Procurement applications across … of a centralised master data strategy Define and document data standards, taxonomies, and governance rules Monitor data quality metrics and support remediation efforts Cross-Functional Collaboration Work closely with business stakeholders to understand data needs and pain points Translate business requirements into data models and feed into the reporting workstream for supporting the development of reports and dashboards … Dynamics or other similar solutions Strong SQL skills and familiarity with data profiling and cleansing tools Understanding of master data concepts and data governance frameworks Proficiency in Excel, Power BI, or other data visualisation tools Excellent communication and documentation skills More ❯

Data Analyst - Procurement We are seeking a detail-oriented and collaborative Data Analyst to provide data standardisation for a new data management solution. This role bridges business and technical teams, ensuring data integrity, consistency, and usability across systems and processes. KEY ACCOUNTABILITIES System Deployment Support Collaborate with functional and technical teams to define data requirements for Procurement applications across … of a centralised master data strategy Define and document data standards, taxonomies, and governance rules Monitor data quality metrics and support remediation efforts Cross-Functional Collaboration Work closely with business stakeholders to understand data needs and pain points Translate business requirements into data models and feed into the reporting workstream for supporting the development of reports and dashboards … Dynamics or other similar solutions Strong SQL skills and familiarity with data profiling and cleansing tools Understanding of master data concepts and data governance frameworks Proficiency in Excel, Power BI, or other data visualisation tools Excellent communication and documentation skills More ❯

Data Analyst - Procurement We are seeking a detail-oriented and collaborative Data Analyst to provide data standardisation for a new data management solution. This role bridges business and technical teams, ensuring data integrity, consistency, and usability across systems and processes. KEY ACCOUNTABILITIES System Deployment Support Collaborate with functional and technical teams to define data requirements for Procurement applications across … of a centralised master data strategy Define and document data standards, taxonomies, and governance rules Monitor data quality metrics and support remediation efforts Cross-Functional Collaboration Work closely with business stakeholders to understand data needs and pain points Translate business requirements into data models and feed into the reporting workstream for supporting the development of reports and dashboards … Dynamics or other similar solutions Strong SQL skills and familiarity with data profiling and cleansing tools Understanding of master data concepts and data governance frameworks Proficiency in Excel, Power BI, or other data visualisation tools Excellent communication and documentation skills More ❯

Data Analyst - Procurement We are seeking a detail-oriented and collaborative Data Analyst to provide data standardisation for a new data management solution. This role bridges business and technical teams, ensuring data integrity, consistency, and usability across systems and processes. KEY ACCOUNTABILITIES System Deployment Support Collaborate with functional and technical teams to define data requirements for Procurement applications across … of a centralised master data strategy Define and document data standards, taxonomies, and governance rules Monitor data quality metrics and support remediation efforts Cross-Functional Collaboration Work closely with business stakeholders to understand data needs and pain points Translate business requirements into data models and feed into the reporting workstream for supporting the development of reports and dashboards … Dynamics or other similar solutions Strong SQL skills and familiarity with data profiling and cleansing tools Understanding of master data concepts and data governance frameworks Proficiency in Excel, Power BI, or other data visualisation tools Excellent communication and documentation skills More ❯

Data Analyst - Procurement We are seeking a detail-oriented and collaborative Data Analyst to provide data standardisation for a new data management solution. This role bridges business and technical teams, ensuring data integrity, consistency, and usability across systems and processes. KEY ACCOUNTABILITIES System Deployment Support Collaborate with functional and technical teams to define data requirements for Procurement applications across … of a centralised master data strategy Define and document data standards, taxonomies, and governance rules Monitor data quality metrics and support remediation efforts Cross-Functional Collaboration Work closely with business stakeholders to understand data needs and pain points Translate business requirements into data models and feed into the reporting workstream for supporting the development of reports and dashboards … Dynamics or other similar solutions Strong SQL skills and familiarity with data profiling and cleansing tools Understanding of master data concepts and data governance frameworks Proficiency in Excel, Power BI, or other data visualisation tools Excellent communication and documentation skills More ❯

data capture, system reliability, and continuous improvement. Translate business requirements into ERP functionality, working closely with production, engineering, supply chain, and finance teams. Develop, implement, and maintain Power BI dashboards that provide actionable insights into performance, productivity, and quality. Collaborate with engineering teams to integrate CAD/CAM systems into ERP and production workflows, enabling greater efficiency and traceability. … system administration, implementation, or optimisation within a manufacturing environment (experience with systems such as SAP, Epicor, Microsoft Dynamics, Infor, NetSuite, or similar). Strong proficiency with data visualisation and BI tools (Power BI essential, SQL or similar database knowledge advantageous). Understanding of CAD/CAM software and its role in manufacturing workflows. Good knowledge of manufacturing processes, lean principles … transformation projects. Qualifications Degree (or equivalent) in Manufacturing Engineering, Mechanical Engineering, Computer Science, Information Systems, or related discipline. Professional certifications in ERP (e.g., SAP, Microsoft Dynamics, Epicor, NetSuite) or BI tools (e.g., Microsoft Certified: Data Analyst Associate) are highly desirable. Project management qualifications (e.g., PRINCE2, Agile, Lean Six Sigma) beneficial. Desirable Hands-on experience with automation, IoT platforms, or digital More ❯

Summary The Senior Technical Lead will be responsible for leading the technical aspects of projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, Power BI and Python. The role involves designing, developing, and maintaining data pipelines and ETL processes while ensuring high performance and scalability of data solutions. (1.) Key Responsibilities 1. Lead the end … to-end technical implementation of data projects using azure data factory, azure databricks, sql, oracle pl/sql, Power BI and python. 2. Design and develop efficient and reliable etl processes for large datasets. 3. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. 4. Optimize data workflows, troubleshoot issues, and ensure data … technical guidance, mentoring, and support to junior team members. 7. Stay uptodate with the latest trends and technologies in data engineering and analytics. 8.Monitor and optimise performance of Power BI reports and datasets, identifying bottlenecks and implementing solutions proactively. Skill Requirements 1. Proficiency in azure data factory (adf) and azure databricks for data integration and processing. 2. Strong skills in More ❯

Summary The Senior Technical Lead will be responsible for leading the technical aspects of projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, Power BI and Python. The role involves designing, developing, and maintaining data pipelines and ETL processes while ensuring high performance and scalability of data solutions. (1.) Key Responsibilities 1. Lead the end … to-end technical implementation of data projects using azure data factory, azure databricks, sql, oracle pl/sql, Power BI and python. 2. Design and develop efficient and reliable etl processes for large datasets. 3. Collaborate with cross functional teams to understand business requirements and translate them into technical solutions. 4. Optimize data workflows, troubleshoot issues, and ensure data … technical guidance, mentoring, and support to junior team members. 7. Stay uptodate with the latest trends and technologies in data engineering and analytics. 8.Monitor and optimise performance of Power BI reports and datasets, identifying bottlenecks and implementing solutions proactively. Skill Requirements 1. Proficiency in azure data factory (adf) and azure databricks for data integration and processing. 2. Strong skills in More ❯

and is known for empowering talented individuals to take ownership, innovate, and shape its future. This is a hands-on engineering role at the intersection of technology, data, and business operations . You’ll work directly with teams across Trading, Risk, Operations, Finance, and Compliance to build tools, automate processes, and enhance the firm’s data and reporting infrastructure. … VMs, data storage, and permissions. Use Excel/VBA for automation and ad-hoc data analysis. Implement Git-based version control and code management best practices. Partner closely with business users to translate requirements into technical solutions. Take ownership of projects that improve automation, scalability, and efficiency across the fund. What You’ll Gain Autonomy and ownership from day … knowledge of Microsoft Azure and Git . Excellent analytical, communication, and problem-solving skills. A proactive, curious mindset and a willingness to take initiative. Desirable Experience with dashboarding/BI tools (Power BI, Tableau, Streamlit). Familiarity with Linux scripting or workflow orchestration tools (Airflow, Prefect). Exposure to financial markets , asset management, or consulting environments. This role would suit More ❯

and is known for empowering talented individuals to take ownership, innovate, and shape its future. This is a hands-on engineering role at the intersection of technology, data, and business operations . You’ll work directly with teams across Trading, Risk, Operations, Finance, and Compliance to build tools, automate processes, and enhance the firm’s data and reporting infrastructure. … VMs, data storage, and permissions. Use Excel/VBA for automation and ad-hoc data analysis. Implement Git-based version control and code management best practices. Partner closely with business users to translate requirements into technical solutions. Take ownership of projects that improve automation, scalability, and efficiency across the fund. What You’ll Gain Autonomy and ownership from day … knowledge of Microsoft Azure and Git . Excellent analytical, communication, and problem-solving skills. A proactive, curious mindset and a willingness to take initiative. Desirable Experience with dashboarding/BI tools (Power BI, Tableau, Streamlit). Familiarity with Linux scripting or workflow orchestration tools (Airflow, Prefect). Exposure to financial markets , asset management, or consulting environments. This role would suit More ❯

and is known for empowering talented individuals to take ownership, innovate, and shape its future. This is a hands-on engineering role at the intersection of technology, data, and business operations . You’ll work directly with teams across Trading, Risk, Operations, Finance, and Compliance to build tools, automate processes, and enhance the firm’s data and reporting infrastructure. … VMs, data storage, and permissions. Use Excel/VBA for automation and ad-hoc data analysis. Implement Git-based version control and code management best practices. Partner closely with business users to translate requirements into technical solutions. Take ownership of projects that improve automation, scalability, and efficiency across the fund. What You’ll Gain Autonomy and ownership from day … knowledge of Microsoft Azure and Git . Excellent analytical, communication, and problem-solving skills. A proactive, curious mindset and a willingness to take initiative. Desirable Experience with dashboarding/BI tools (Power BI, Tableau, Streamlit). Familiarity with Linux scripting or workflow orchestration tools (Airflow, Prefect). Exposure to financial markets , asset management, or consulting environments. This role would suit More ❯

and is known for empowering talented individuals to take ownership, innovate, and shape its future. This is a hands-on engineering role at the intersection of technology, data, and business operations . You’ll work directly with teams across Trading, Risk, Operations, Finance, and Compliance to build tools, automate processes, and enhance the firm’s data and reporting infrastructure. … VMs, data storage, and permissions. Use Excel/VBA for automation and ad-hoc data analysis. Implement Git-based version control and code management best practices. Partner closely with business users to translate requirements into technical solutions. Take ownership of projects that improve automation, scalability, and efficiency across the fund. What You’ll Gain Autonomy and ownership from day … knowledge of Microsoft Azure and Git . Excellent analytical, communication, and problem-solving skills. A proactive, curious mindset and a willingness to take initiative. Desirable Experience with dashboarding/BI tools (Power BI, Tableau, Streamlit). Familiarity with Linux scripting or workflow orchestration tools (Airflow, Prefect). Exposure to financial markets , asset management, or consulting environments. This role would suit More ❯

and is known for empowering talented individuals to take ownership, innovate, and shape its future. This is a hands-on engineering role at the intersection of technology, data, and business operations . You’ll work directly with teams across Trading, Risk, Operations, Finance, and Compliance to build tools, automate processes, and enhance the firm’s data and reporting infrastructure. … VMs, data storage, and permissions. Use Excel/VBA for automation and ad-hoc data analysis. Implement Git-based version control and code management best practices. Partner closely with business users to translate requirements into technical solutions. Take ownership of projects that improve automation, scalability, and efficiency across the fund. What You’ll Gain Autonomy and ownership from day … knowledge of Microsoft Azure and Git . Excellent analytical, communication, and problem-solving skills. A proactive, curious mindset and a willingness to take initiative. Desirable Experience with dashboarding/BI tools (Power BI, Tableau, Streamlit). Familiarity with Linux scripting or workflow orchestration tools (Airflow, Prefect). Exposure to financial markets , asset management, or consulting environments. This role would suit More ❯

shape long-term strategy. Responsibilities Conduct in-depth product analysis for pre-release game, delivering insights to improve engagement, retention, monetization, and revenue. Write and optimize SQL queries; manage BI dashboards to ensure accurate and reliable reporting. Design, execute, and analyze A/B tests to guide product and monetization strategies. Partner with cross-functional teams to define KPIs, success … work. Support pricing strategies, monetization models, and forecasting (e.g., LTV, churn, revenue projections). Share best practices and tackle complex product issues. Act as the go-to person for BI tooling and analytics, ensuring consistent, accessible data across teams. Requirements 6+ years of relevant experience in data, product or business analytics, with at least 2–3 years within the … gaming industry. Strong expertise in A/B testing design and evaluation. Experience in data visualization and reporting tools (Tableau, Grafana, Firebase, Devtodev, Power BI). Proficiency in SQL, Python, and/or BigQuery/Postgres for data analysis and modeling. Advanced Excel/VBA skills. Strong understanding of game/product economics, monetization, and user behavior metrics. Excellent analytical More ❯

governance, and compliance. Evaluating and implementing advanced analytics tools and technologies. About You You're an inspiring, data-driven leader with a deep understanding of analytics, data architecture, and business intelligence. You thrive in complex, fast-moving environments and are comfortable translating technical data insights into clear, actionable strategies that drive business impact. You'll likely bring: Experience … in senior analytics or insights roles. Proven success in leading and developing high-performing teams. Strong expertise in data analysis, statistical modelling, and visualisation tools (SQL, R, Python, Power BI). Experience with data warehousing and BI platforms. Excellent communication and storytelling skills, with the ability to influence at senior levels. A strategic mindset, with a proactive, solutions-focused approach. … A degree (Bachelor's or Master's) in Data Science, Statistics, Computer Science, Business Administration, or a related field. (Desirable) Experience within SaaS, machine learning, or AI environments. The Perks 25 Days Holiday, increasing 1 day per year with service (up to a maximum of 28) The option to buy up to 10 more days annual leave, plus More ❯

governance, and compliance. Evaluating and implementing advanced analytics tools and technologies. About You You're an inspiring, data-driven leader with a deep understanding of analytics, data architecture, and business intelligence. You thrive in complex, fast-moving environments and are comfortable translating technical data insights into clear, actionable strategies that drive business impact. You'll likely bring: Experience … in senior analytics or insights roles. Proven success in leading and developing high-performing teams. Strong expertise in data analysis, statistical modelling, and visualisation tools (SQL, R, Python, Power BI). Experience with data warehousing and BI platforms. Excellent communication and storytelling skills, with the ability to influence at senior levels. A strategic mindset, with a proactive, solutions-focused approach. … A degree (Bachelor's or Master's) in Data Science, Statistics, Computer Science, Business Administration, or a related field. (Desirable) Experience within SaaS, machine learning, or AI environments. The Perks 25 Days Holiday, increasing 1 day per year with service (up to a maximum of 28) The option to buy up to 10 more days annual leave, plus More ❯

Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime … forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition, product initiatives and retention strategies. Responsible for innovating in how we leverage AI to access and give insights to … strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and machine learning techniques applied to More ❯

Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime … forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition, product initiatives and retention strategies. Responsible for innovating in how we leverage AI to access and give insights to … strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and machine learning techniques applied to More ❯

Paper and the New Scientist). You will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime … forecast churn risk and customer behaviour, leveraging data science techniques. Collaborate with cross-functional teams , including marketing, finance, product and editorial, to ensure data-driven decision-making aligns with business objectives. Deliver actionable recommendations to optimise marketing spend, customer acquisition, product initiatives and retention strategies. Responsible for innovating in how we leverage AI to access and give insights to … strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills , with the ability to communicate complex data findings to non-technical audiences. Knowledge of data science and machine learning techniques applied to More ❯