BI Reporting Analyst

Oxford
1 year ago
Applications closed

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Job Title: BI Reporting Analyst
Salary: £40,000 - £45,000 base salary depending in experience
Location: Oxford / Hybrid working
Why this job 'does good'

  • Empower decision-makers: Provide the critical data insights that inform better business choices..
  • Enhance data excellence: Create well-structured reporting systems that improve the quality and accessibility of information.
  • Foster a data-driven culture: Help establish an environment where data analysis is a primary tool for success.
    Role Responsibilities and Main Duties
  • BI Report Development: Design and implement robust business intelligence reports and dashboards using leading BI tools (Power BI, Tableau, Qlik, etc.)
  • Collaboration: Work directly with teams across the organisation to understand their data needs and create solutions that drive action.
  • BI Lifecycle Management: Oversee the end-to-end process of BI reporting, from gathering needs to final deployment.
  • Data Analysis: Analyse data to uncover trends, insights, and potential areas for improvement.
  • Data Integrity: Maintain high standards of accuracy and consistency across all reports.
  • User Training and Support: Empower colleagues to maximise their use of BI tools and gain an in-depth understanding of data results.
  • Performance Optimisation: Proactively monitor and improve BI reporting performance.
  • Strategic Improvement: Identify areas to streamline processes and enhance overall efficiency through the effective use of technology.
  • Data Culture Champion: Instill a data-driven mindset across the organisation, encouraging continuous learning and better decision-making.
    Who We Are Looking For
    Essential
  • Proven Experience: Good experience in BI reporting or a data analysis role.
  • Technical Expertise: Mastery of BI tools like Power BI, Tableau, or Qlik.
  • Analytical Mind: Ability to interpret data and extract clear, actionable business insights.
  • Data Understanding: Solid grasp of data warehousing and ETL processes.
  • Communication Skills: Can explain complex data concepts to both technical and non-technical audiences.
    Desirable
  • Database Savvy: Experience with SQL and database technologies.
  • Data Governance: Knowledge of data modeling and best practices in data governance.
  • Big Data Knowledge: Understanding of big data technologies (Hadoop, Spark, etc.)
  • Advanced Analysis: Experience with advanced statistical methods

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