726 to 750 of 1,693 Power BI Jobs in the UK excluding London

practices and advancements in data analytics. Skills required: • Experience in a fast-paced business environment, working alongside commercial teams. • 5+ years of experience with analytical tools such as Power BI and Azure Data Studio. • Strong data analysis skills with advanced Excel expertise. • Proven experience with SQL and Python. • Ability to translate large datasets into actionable insights. More ❯

Experience 4+ years of experience in data analytics or data engineering. High proficiency in Python (e.g., pandas, NumPy, matplotlib/seaborn) and SQL essential. Hands-on experience with BI tools (ideally Power BI) advantageous Familiarity with cloud-based data platforms (ideally Azure) advantageous. Strong problem-solving skills and attention to detail. Ability to work More ❯

BI/Market Insight AnalystSalary range - £45K - 50KHybrid working model - 2 days per week on siteHigher Education background is essentialPermanent ContractWill be working the BI team and reporting into the Head of BI.Compile and analyse internal & external data.Develop management information dashboards.BI Systems experience - Tableau, Power BI, Qlikview/Qliksense5 key areas of More ❯

Shape the future. Drive the adoption of AWS. Unlock the power of data. Lead the way. We're looking for a Senior Data Analyst who's ready to help shape how an organisation uses data and drive the adoption of bleeding-edge AWS technology across the business. This is a hands-on, high-impact role within a growing … non-technical audiences alike. A proactive, curious mindset and a passion for using data to influence and improve business performance are essential, as is hands-on experience with BI tools such as Power BI, QuickSight, or Tableau. Joining this organisation means being part of a transformation that's redefining how data drives business success. More ❯

and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience working on mobile attribution solutions (Appsflyer More ❯

and infrastructure-as-code tools (e.g., Docker, Terraform, CloudFormation). ● Familiarity with data quality, data governance, and observability tools (e.g., Great Expectations, Monte Carlo).[3] ● Experience with BI and data visualization tools (e.g., Looker, Tableau, Power BI). ● Experience working with product analytics solution (Amplitude, Mixpanel) ● Experience working on mobile attribution solutions (Appsflyer More ❯

is based out of our London Store Support Centre & Home. Colleagues go into the office 1-2 days per week on average. Why join us Joining the Finance BI Analytics team at Sainsbury's means working with one of the most exciting and rich retail data sets in the UK. You'll play a pivotal role in driving … ll have plenty of opportunities to grow your technical and leadership skills while making a real difference. What You'll Do As a Data Scientist in the Finance BI team, you'll play a key role in unlocking value from complex financial data, partnering closely with Finance Managers and senior stakeholders to deliver advanced analytical projects from end … clear, compelling narratives that resonate with both technical and non-technical audiences. In addition, you'll also support and mentor colleagues in the use of SQL, Python, and BI tools, helping to build strong analytical capability across the function. Who You Are You're a curious and driven data professional with a strong foundation in statistics and modelling. More ❯

high-security environments. Active SC/DV Clearance is essential. Technical Skills: Strong SQL skills and ability to work with large, complex datasets from multiple systems. Experience with BI and visualization tools (e.g., Power BI, Tableau, Looker). Familiarity with scripting languages like JavaScript or Python is a plus. Experience with IAM platforms such More ❯

Role Title: Senior Stack Azure BI Developer 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 … creating an environment free from prejudice, racism, sexism, harassment, bullying and any other form of marginalisation in our workplaces. View the full job description here - Senior Stack Azure BI Developer - Job Description About us Who are we? For over 30 years, we’ve travelled, we’ve laughed, we’ve grown. We believe life is for living and more … a key part in creating an environment free from prejudice, racism, sexism, harassment, bullying and any other form of marginalisation in our workplaces. Role Summary The Azure Stack BI Developer will play a key role in managing data integrations between our business and our parent company, ensuring the accuracy, reliability, and high quality of data outputs. This role More ❯

Role Title: Senior Stack Azure BI Developer 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 … creating an environment free from prejudice, racism, sexism, harassment, bullying and any other form of marginalisation in our workplaces. View the full job description here - Senior Stack Azure BI Developer - Job Description About us Who are we? For over 30 years, we’ve travelled, we’ve laughed, we’ve grown. We believe life is for living and more … a key part in creating an environment free from prejudice, racism, sexism, harassment, bullying and any other form of marginalisation in our workplaces. Role Summary The Azure Stack BI Developer will play a key role in managing data integrations between our business and our parent company, ensuring the accuracy, reliability, and high quality of data outputs. This role More ❯

will combine strong technical/Data Engineering skills — particularly with Databricks — with a financial services (insurance, pensions or asset management preferred) environment. Key Responsibilities Develop, maintain, and optimise BI solutions using Databricks and other data tools. Collaborate with investment, risk, and operations teams to gather requirements and deliver actionable insights. Transform complex data sets into clear dashboards, visualisations … Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is an advantage. Knowledge of pensions, asset management, or wider financial services industry. Strong problem-solving, analytical, and communication skills — able to translate data into business insight. Location: London Finally More ❯

will combine strong technical/Data Engineering skills — particularly with Databricks — with a financial services (insurance, pensions or asset management preferred) environment. Key Responsibilities Develop, maintain, and optimise BI solutions using Databricks and other data tools. Collaborate with investment, risk, and operations teams to gather requirements and deliver actionable insights. Transform complex data sets into clear dashboards, visualisations … Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is an advantage. Knowledge of pensions, asset management, or wider financial services industry. Strong problem-solving, analytical, and communication skills — able to translate data into business insight. Location: London Finally More ❯

will combine strong technical/Data Engineering skills — particularly with Databricks — with a financial services (insurance, pensions or asset management preferred) environment. Key Responsibilities Develop, maintain, and optimise BI solutions using Databricks and other data tools. Collaborate with investment, risk, and operations teams to gather requirements and deliver actionable insights. Transform complex data sets into clear dashboards, visualisations … Contribute to the development of a modern data platform supporting advanced analytics and machine learning use cases. Support the migration of legacy reporting tools into Databricks and modern BI solutions. Key Skills & Experience Essential: Strong hands-on experience with Databricks (SQL, PySpark, Delta Lake). Solid knowledge of BI and data visualisation tools (e.g., Power BI, Tableau, Qlik). Strong SQL and data modelling skills. Experience working with large, complex financial datasets. Familiarity with cloud platforms (Azure/AWS/GCP) is an advantage. Knowledge of pensions, asset management, or wider financial services industry. Strong problem-solving, analytical, and communication skills — able to translate data into business insight. Location: London Finally More ❯

e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non More ❯

e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non More ❯

e.g. Python). • Familiarity with relational databases and data warehousing concepts. • Experience working with market data, trading data, or financial reference data. • Exposure to data visualisation tools (e.g. Power BI, Tableau). • Understanding of Agile delivery practices and tools (e.g. Azure DevOps, JIRA). • Excellent communication skills and ability to work with both technical and non More ❯

Dive & Interrogation: Conduct thorough, detail-oriented analysis of large datasets to identify trends, patterns, and, most importantly, anomalies. Your mission is to understand the why behind the numbers. BI Tool Mastery: Leverage our key Business Intelligence (BI) tools—including Looker, Google Sheets, and Excel (specifically Pivot Tables)—to efficiently extract, transform, and visualise data. Insight Generation … must have a passion for deep-diving into data until all questions are answered. Technical Proficiency: Proven expertise in manipulating and analysing data using: Looker (or similar modern BI platforms like Tableau/Power BI). Google Sheets and Microsoft Excel (advanced skills, especially Pivot Tables, formulas, and data cleaning). Communication Skills: Exceptional More ❯

Dive & Interrogation: Conduct thorough, detail-oriented analysis of large datasets to identify trends, patterns, and, most importantly, anomalies. Your mission is to understand the why behind the numbers. BI Tool Mastery: Leverage our key Business Intelligence (BI) tools—including Looker, Google Sheets, and Excel (specifically Pivot Tables)—to efficiently extract, transform, and visualise data. Insight Generation … must have a passion for deep-diving into data until all questions are answered. Technical Proficiency: Proven expertise in manipulating and analysing data using: Looker (or similar modern BI platforms like Tableau/Power BI). Google Sheets and Microsoft Excel (advanced skills, especially Pivot Tables, formulas, and data cleaning). Communication Skills: Exceptional More ❯

and inventory accounting within Business Central. Exposure to Azure Queues/Azure Service Bus. Experience integrating Business Central with third-party retail or e-commerce platforms. Familiarity with Power BI or Power Platform tools for financial analytics. More ❯

a team player Ability to work independently, to deadlines, managing priorities Excellent interpersonal skills with ability to build relationships at all levels Desirable attributes: Relevant Dynamics 365 qualifications Power Automate/Logic Apps/Power Platform experience Power BI experience Experience in a global organisation with a Finance focus Accounting knowledge Payroll More ❯

Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM systems (e.g., Salesforce) and familiarity with BI tools (e.g., Tableau, Power BI). Attention to Detail: Ability to manage multiple projects with a high degree of accuracy and detail. Communication Skills: Effective More ❯

Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM systems (e.g., Salesforce) and familiarity with BI tools (e.g., Tableau, Power BI). Attention to Detail: Ability to manage multiple projects with a high degree of accuracy and detail. Communication Skills: Effective More ❯

Skills: Strong analytical and problem-solving skills with proficiency in data analysis tools (e.g., Excel, SQL). Tech Savvy: Experience with CRM systems (e.g., Salesforce) and familiarity with BI tools (e.g., Tableau, Power BI). Attention to Detail: Ability to manage multiple projects with a high degree of accuracy and detail. Communication Skills: Effective More ❯

knowledge of SQL or Python. Detail-oriented, analytical, and curious. Strong communication and teamwork skills. Ability to manage tasks independently in a remote environment. Preferred Qualifications Familiarity with BI tools such as Power BI or Tableau. Prior academic, internship, or project experience in data analysis. Understanding of basic statistics or predictive modelling. Benefits & Perks More ❯

standards and the enterprise data model. Provide training, advice and support to managers and staff on reporting tools and analytics. Essential Requirements: 2-3+ years' experience with Power BI, Tableau, Qlik or similar BI tools. Strong SQL skills and experience working in Agile development environments. Excellent communication skills, able to engage with technical More ❯