Jobdesc:
- Lead a team of data analysts to deliver high-impact insights and recommendations.
- Lead the end-to-end analytics process: data collection, modelling, analysis, and interpretation to provide meaningful business insights
- Partner with senior management to identify opportunities where analytics can drive operational improvement and revenue growth.
- 4.Act as the primary bridge between data engineering, BI teams, and business stakeholders to ensure alignment and impact.
- Translate analytical findings into clear business narratives and actionable recommendations for decision-makers.
- Build analytical capability and data literacy across departments.
- Work closely with the Data Engineer to ensure clean, reliable, and well- structured data pipelines.
Qualification:
- Bachelor's or Master's degree in Statistics, Data Science, Mathematics, Economics, or a related field.
- 6–10 years of experience in business analytics, data science, or related fields, with at least 2 years in a leadership role.
- Strong SQL and data manipulation skills.
- Proficiency in Python or R for data analysis and modeling.
- Solid understanding of statistical methods, forecasting, and regression.
- Familiarity with BI tools (Power BI, Tableau, QuickSight, or Looker).
- Knowledge of data warehousing concepts, including data modelling, data architecture, and data governance principles
- Strong communication skills to align analytics efforts with business strategy and translate technical findings intobusiness implications
- Experience presenting to executives and cross-functional teams