151 to 175 of 4,140 Business Intelligence Jobs

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 ❯

responsibilities will include: Working with large datasets, cleaning and analysing data Assisting in the production of reports, datasets and data products Ensuring data quality and reporting any limitations Using Business Intelligence tools to visualise and interpret data Applying programming languages like SQL, R or Python for data manipulation Communicating findings clearly to technical and non-technical audiences Upholding … the advert. We welcome conversations about this opportunity, so please don't hesitate to reach out if you want to find out more. About us Here at the NHS Business Services Authority (NHSBSA), what we do matters. We manage the NHS Pension scheme, process prescription payments and much more. Our services are used by NHS organisations, contractors and the … a competitive salary with pay progression, we offer a people-centric benefits package, connecting you to the rewards and benefits you value most! Ready to join us in delivering business service excellence to the NHS, helping people live longer, healthier lives? Apply today and see where the NHSBSA can take you. We are people connected to care. Job description 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 ❯

to join our team as a Data Analyst (Level 4) Apprentice. As part of this apprenticeship, you’ll learn how to collect, analyse and interpret data to support key business decisions. You’ll gain hands-on experience working with modern data tools and techniques while … studying towards a nationally recognised Level 4 Data Analyst qualification. Key Responsibilities Collect, clean, and validate data from various internal and external sources Use tools such as Excel, Power BI, SQL, and Python to analyse data and create visual reports Support data-driven decision-making across teams by providing insights and trend analysis Assist in maintaining data quality and developing … solving Strong attention to detail and logical thinking Good communication skills – able to explain data in a clear and engaging way Competent in Microsoft Excel; any exposure to Power BI, SQL, or Python is a bonus GCSEs (or equivalent) in English and maths at Grade 4/C or above A-levels or equivalent Level 3 qualification preferred Training and 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 ❯

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 ❯

for those who are looking to progress into the world of Data Science or Analytical Engineering. What you’ll do: Conduct deep-dive analysis to generate insights that drive business decisions and performance. Work closely with collaborators from different departments in cross-functional agile teams. Extract, analyse and present data to both technical and non-technical audiences. Create and … automate business intelligence dashboards, enabling self-serve reporting. Define meaningful metrics and KPIs, and build tracking frameworks across teams. Partner with product, engineering, AI and data science teams to accelerate development. Work with architects to design data products, test new tools, and support ML/AI workflows. Ensure data quality, integrity and consistency across multiple sources. Thrive in … in data visualisation with tools such as Tableau or Power BI. Confident writing efficient code and troubleshooting sophisticated queries. Clear and adaptable communicator, able to explain technical topics to business audiences and translate business needs for product teams. Skilled in team collaboration and exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an More ❯

We are seeking a visionary and commercially astute Strategic Insights Director to lead our Insights & Analytics team. This role is pivotal in shaping the strategic direction of our business by delivering actionable insights that drive growth, enhance customer experience, and inform decision making across the organisation. As a member of the leadership team, you will report directly to the … and inspire a team of 15-20 data and analytics professionals, fostering a culture of curiosity, collaboration, and excellence. Be the voice at company leadership level that drives a business-wide understanding of the value of high-quality data, data ownership, and insight-based decision making. Define and execute the strategic vision for insights and analytics aligned with business … high-quality data analysis, insight generation, reporting, and dashboarding. You will ensure that the right tools and the right data are available to your team and to the wider business through self-service capabilities, enabling efficient and reliable access to information. You will be responsible for delivering a simple and well-organised platform that serves not only technically skilled More ❯

Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organizations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through to Cloud Data Warehousing, Visualisation, Data Science, and Engineering or Data Governance. … Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture. About the Role: We are seeking a Consultant-Data Engineer to join our growing Practice. You will work closely with our blue-chip clients in a variety of industries such as banking and finance … and data integration solutions for enterprise clients Drive technical excellence across projects, establishing coding standards, best practices, and quality assurance processes Collaborate with cross-functional teams including data analysts, business stakeholders, and project managers to deliver end-to-end data solutions Engage with client stakeholders to understand requirements, provide technical guidance, and influence strategic data decisions Support internal initiatives More ❯

Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organizations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through to Cloud Data Warehousing, Visualisation, Data Science, and Engineering or Data Governance. … Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture. About the Role: We are seeking a Consultant-Data Engineer to join our growing Practice. You will work closely with our blue-chip clients in a variety of industries such as banking and finance … and data integration solutions for enterprise clients Drive technical excellence across projects, establishing coding standards, best practices, and quality assurance processes Collaborate with cross-functional teams including data analysts, business stakeholders, and project managers to deliver end-to-end data solutions Engage with client stakeholders to understand requirements, provide technical guidance, and influence strategic data decisions Support internal initiatives More ❯

Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organizations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through to Cloud Data Warehousing, Visualisation, Data Science, and Engineering or Data Governance. … Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture. About the Role: We are seeking a Consultant-Data Engineer to join our growing Practice. You will work closely with our blue-chip clients in a variety of industries such as banking and finance … and data integration solutions for enterprise clients Drive technical excellence across projects, establishing coding standards, best practices, and quality assurance processes Collaborate with cross-functional teams including data analysts, business stakeholders, and project managers to deliver end-to-end data solutions Engage with client stakeholders to understand requirements, provide technical guidance, and influence strategic data decisions Support internal initiatives More ❯

Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organizations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through to Cloud Data Warehousing, Visualisation, Data Science, and Engineering or Data Governance. … Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture. About the Role: We are seeking a Consultant-Data Engineer to join our growing Practice. You will work closely with our blue-chip clients in a variety of industries such as banking and finance … and data integration solutions for enterprise clients Drive technical excellence across projects, establishing coding standards, best practices, and quality assurance processes Collaborate with cross-functional teams including data analysts, business stakeholders, and project managers to deliver end-to-end data solutions Engage with client stakeholders to understand requirements, provide technical guidance, and influence strategic data decisions Support internal initiatives More ❯

Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organizations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through to Cloud Data Warehousing, Visualisation, Data Science, and Engineering or Data Governance. … Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture. About the Role: We are seeking a Consultant-Data Engineer to join our growing Practice. You will work closely with our blue-chip clients in a variety of industries such as banking and finance … and data integration solutions for enterprise clients Drive technical excellence across projects, establishing coding standards, best practices, and quality assurance processes Collaborate with cross-functional teams including data analysts, business stakeholders, and project managers to deliver end-to-end data solutions Engage with client stakeholders to understand requirements, provide technical guidance, and influence strategic data decisions Support internal initiatives More ❯

Billigence is a boutique data consultancy with global outreach & clientele, transforming the way organizations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions with high added value across a wide range of applications from process digitization through to Cloud Data Warehousing, Visualisation, Data Science, and Engineering or Data Governance. … Headquartered in Sydney, Australia with offices around the world, we help clients navigate difficult business conditions, remove inefficiencies, and enable scalable adoption of analytics culture. About the Role: We are seeking a Consultant-Data Engineer to join our growing Practice. You will work closely with our blue-chip clients in a variety of industries such as banking and finance … and data integration solutions for enterprise clients Drive technical excellence across projects, establishing coding standards, best practices, and quality assurance processes Collaborate with cross-functional teams including data analysts, business stakeholders, and project managers to deliver end-to-end data solutions Engage with client stakeholders to understand requirements, provide technical guidance, and influence strategic data decisions Support internal initiatives More ❯

Work closely with stakeholders to understand their data needs and design scalable solutions Build, maintain and optimise data pipelines and models using SQL, Python and Airflow Design and develop BI and reporting products such as Looker models, dashboards and data visualisations Contribute to our data modelling standards and best practices to ensure quality, reliability and cost efficiency Collaborate with other … ability to translate business needs into technical solutions Strong collaboration and communication skills, with a problem-solving attitude Experience building dashboards and visualisations in Looker, Tableau or similar BI platforms A curious and proactive mindset and a willingness to learn and broaden your skills Bonus Points Experience with CI/CD tools such as Drone or GitHub Actions Familiarity More ❯

Budgeting and Forecasting: Manage and track actual costs incurred. Prepare annual budgets, forecasts, and comprehensive variance analyses. Collaborate with stakeholders to gather budget requirements and ensure alignment with overall business objectives. Develop and maintain complex financial models using large datasets to support strategic decision-making, budgeting, forecasting, and investment analysis. Perform in-depth financial analysis, including trend, variance, and … profitability analysis (Actual vs. Budget). Provide actionable insights derived from financial analysis to drive improved business performance. Communication and Collaboration: Effectively communicate with stakeholders across all organizational levels. Collaborate seamlessly with cross-functional teams to achieve shared objectives. Develop and deliver compelling presentations for senior management. Demonstrate flexibility and adaptability in responding to evolving business requirements and … complex, multi-currency group consolidations (preferably UK/US listed). ERP system experience (e.g., SAP, Oracle). Experience with large datasets and data visualization tools (e.g., Tableau, Power BI). Understanding of IT finance principles. Personal Attributes: Proactive and results-driven. Excellent problem-solving skills. Strong interpersonal skills. Ability to work independently and collaboratively. Highly adaptable and flexible in More ❯

Data warehouse, Vizient, Tableau and other reporting tools for customers at all levels of the organization. The role also assists in mentoring and training other department members in understanding business models and issues, and provides leadership and mentorship to the data governance team, guiding junior analysts in best practices, problem-solving techniques, and professional development. To be successful in … its analytics work and impacts across the organization, and is a friendly group where everyone works well with each other. What you will need: Education: Bachelor's degree in Business, IT, Basic Science or equivalent work experience. Certifications: EPIC Certification required within 6 months of employment (Endeavor sponsored) Institute for Healthcare Improvement (IHI) Training Certificate Experience: Six (6) or … Lean, Six Sigma, etc.) Advanced understanding of complex database queries using SQL or other related tools or languages Experienced with complex data visualization and reporting tools (e.g. Tableau, Power BI, Cognos, SSRS, etc) Strong analytic, problem solving, negotiation, issue resolution and facilitation skills are required Demonstrated strong written and verbal communication and decision-making skills Demonstrated technical coaching and mentoring More ❯

Role: Technical Business Analyst (Power BI) Location: Birmingham (Hybrid) Salary: 45,000 - 55,000 Join a data-driven organisation undergoing a major digital transformation. As a Technical Business Analyst , youll work at the intersection of business operations and technologyhelping to enhance enterprise analytics, reporting capabilities, and decision-making processes. Working closely with IT and cross-functional stakeholders … youll gather requirements, optimise workflows, and support the implementation of modern data and reporting frameworks using tools like Power BI . The role focuses on aligning data infrastructure with strategic goals and supporting the rollout of cloud-based solutions. Key Responsibilities Collaborate with stakeholders to define data/reporting needs and document business requirements Analyse and improve data processes … background in business analysis , requirements gathering , and process improvement Competent experience with ETL/ELT and using appropriate tools. Experience with business intelligence tools (e.g. Power BI, Tableau, Qlik) Knowledge of data modelling , architecture, and reporting design Familiarity with data governance , privacy regulations, and compliance practices Excellent communication and stakeholder engagement skills Ability to translate technical solutions More ❯