A Fantastic Opportunity for ...
Data analytics plays a pivotal role within the Analytics Center of Excellence, driving enterprise-wide data insights and ensuring best practices in BI development, integration, and governance. This position requires deep expertise in SQL, Python, Power BI, and Excel, combined with strong analytical skills to lead complex data initiatives, oversee new system data acquisition, and ensure processes align with business objectives. Data analytics will act as both a technical expert and process inspector, ensuring accuracy, efficiency, and innovation in the analytics lifecycle.
1. Data Analysis & Insights
- Lead advanced analysis of structured and unstructured data to uncover trends and opportunities.
- Deliver impactful dashboards, scorecards, and reports in Power BI and Excel for executive and operational decision-making.
- Act as a trusted advisor to business leaders by translating analytical findings into clear, actionable recommendations.
2. BI Solution Development & Optimization
- Design, develop, and maintain scalable Power BI solutions with advanced DAX and optimized data models.
- Write, optimize, and maintain complex SQL queries, stored procedures, and data views.
- Ensure BI solutions are accurate, reliable, and aligned with business KPIs.
- Present analytical findings in a clear, concise, and business-friendly manner
- Collaborate with cross-functional teams to translate business requirements into BI solutions.
- Lead initiatives to enable self-service reporting and analytics for business units.
3. Data Preparation & Validation
- Validate and test data acquisition pipelines to ensure completeness, timeliness, and quality.
- Work closely with Analytics Engineers to ensure data models and pipelines meet business needs
- Document data definitions, KPIs, and report logic for traceability and reusability
4. Process Inspector & Governance
- Contribute to establishing standard KPIs, definitions, and reporting templates.
- Monitor and assess BI processes to identify inefficiencies, bottlenecks, and areas for improvement.
- Implement governance practices to standardize reporting, KPI definitions, and data usage across business units.
- Ensure compliance with data governance, security, and privacy standards.
- Build standardized reporting templates and automate recurring analyses
- Support self-service BI initiatives and promote data literacy across business units.
- Develop and maintain report dictionaries and documentation for analytical reports and dashboards.
5. Leadership & Collaboration
- Mentor junior BI analysts in SQL, Power BI, and analytics best practices.
- Work cross-functionally with Bus/FNs to support enterprise analytics needs.
- Contribute to ACoE strategy, innovation, and the adoption of modern BI tools and techniques.
- Present findings and insights to senior management using data storytelling techniques.
- Lead BI workshops or user training to promote data-driven culture.
- Review dashboards, SQL queries, and logic built by team members.
- Lead efforts to automate recurring reports and reduce manual workloads.