Reference:BH-2107-1
Sector:BI, Data Science & Analytics
Salary:Competitive
Benefits:0
Town/City:Birmingham
Contract Type:Permanent
BI Analyst | Car/Allowance + Bonus | Birmingham OR York | Hybrid Working
We are seeking a talented BI Analyst to join a dynamic FTSE 100 company, working with large, complex datasets in a fast-paced environment. This role offers an exciting opportunity to leverage your expertise in SQL and PowerBI (including DAX) to enhance dashboards, reporting, and data modeling.
As a BI Analyst, you will be a key player in optimising enterprise data infrastructure. Your work will help shape data driven decision making by translating business needs into technical solutions and providing actionable insights.
Key Responsibilities:
• Play an integral role in maintaining and enhancing the enterprise data infrastructure
• Translate business requirements into detailed technical specifications for data flows, integrations, transformations, databases, and dashboards
• Collaborate on the development of data architecture, governance, and security, focusing on data models, master/reference data, and reporting
• Assist in refining business requirements and ensuring they align with technical capabilities
• Contribute to the creation and upkeep of technical documentation, including data dictionaries and catalogs
Skills / Experience:
• Solid experience with SQL and database development
• Proven expertise in building reports and semantic models using Power BI (including DAX)
• Experience with Databricks
• Understanding of relational databases and data warehouse architectures
• Familiarity with Python for data manipulation and analysis
• Knowledge of Azure DevOps, including CI/CD pipelines and Git version control
• Bonus: experience with AI
Package:
• Competitive salary
• Annual bonus
• Company car or car allowance
• 25 days holiday (increasing with service)
• Private healthcare
• Life assurance
• Pension plan
• Flexible, hybrid working options
This BI Analyst vacancy is being handled by Langham Recruitment Ltd. Langham Recruitment Ltd acts as an employment agency and is registered in England and Wales (reg 11525223).
We are seeking a talented BI Analyst to join a dynamic FTSE 100 company, working with large, complex datasets in a fast-paced environment. This role offers an exciting opportunity to leverage your expertise in SQL and PowerBI (including DAX) to enhance dashboards, reporting, and data modeling.
As a BI Analyst, you will be a key player in optimising enterprise data infrastructure. Your work will help shape data driven decision making by translating business needs into technical solutions and providing actionable insights.
Key Responsibilities:
• Play an integral role in maintaining and enhancing the enterprise data infrastructure
• Translate business requirements into detailed technical specifications for data flows, integrations, transformations, databases, and dashboards
• Collaborate on the development of data architecture, governance, and security, focusing on data models, master/reference data, and reporting
• Assist in refining business requirements and ensuring they align with technical capabilities
• Contribute to the creation and upkeep of technical documentation, including data dictionaries and catalogs
Skills / Experience:
• Solid experience with SQL and database development
• Proven expertise in building reports and semantic models using Power BI (including DAX)
• Experience with Databricks
• Understanding of relational databases and data warehouse architectures
• Familiarity with Python for data manipulation and analysis
• Knowledge of Azure DevOps, including CI/CD pipelines and Git version control
• Bonus: experience with AI
Package:
• Competitive salary
• Annual bonus
• Company car or car allowance
• 25 days holiday (increasing with service)
• Private healthcare
• Life assurance
• Pension plan
• Flexible, hybrid working options
This BI Analyst vacancy is being handled by Langham Recruitment Ltd. Langham Recruitment Ltd acts as an employment agency and is registered in England and Wales (reg 11525223).
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