Overview
NATIONAL BUSINESS REQUIRES PROACTIVE BUSINESS INTELLIGENCE STRATEGIST / LEAD DATA ANALYST TO SPEARHEAD DATA AND REPORTING STRATEGY, BUILDING A DATA-DRIVEN CULTURE FROM THE GROUND UP WITH A DATA WAREHOUSE-FIRST MINDSET.
TITLE: Business Intelligence Strategist / Lead Data Analyst
SALARY: £(phone number removed)
LOCATION: Office Based near Wakefield
Responsibilities
- Engage with non-technical stakeholders to identify business challenges, define requirements, and create effective reporting solutions.
- Lead the transition from reporting on production databases to a robust data warehouse as the single source of truth.
- Design and build new ETL/data pipelines to replace outdated nightly rebuild processes.
- Oversee the selection of a BI platform and manage the migration of reports, integrating them into internal systems ( 300 users) and customer-facing portals (thousands of users).
- Shift the reporting culture from Excel-heavy, tabular outputs to streamlined dashboards and KPI-focused insights.
- Develop a range of reports, from operational to advanced dashboards, including financial and forecasting models.
- Establish data standards and governance to ensure consistency and reliability across all reports.
- Explore AI/ML opportunities to enhance analytics capabilities.
- Mentor and guide a junior data analyst to support their development and contributions.
Essential Experience
- Advanced, hands-on SQL expertise.
- Proven experience designing and implementing data warehouses and ETL pipelines.
- Demonstrated ability to work with non-technical stakeholders to define requirements and deliver actionable insights.
- Comfortable navigating ambiguous or evolving requirements.
- Pragmatic approach, prioritizing timely, effective solutions over perfectionism.
- Experience mentoring or managing team members.
Preferred Experience
- Experience with SSRS
- Knowledge of embedded reporting solutions.
- Familiarity with API-driven data integration.
- Proficiency with modern BI tools (e.g., Power BI, Tableau, Looker, Metabase).
- Understanding of AI/ML applications in business intelligence.