
Data Driven Retail Expert
2 days ago
We are seeking a forward-thinking analytics professional who bridges the gap between data science and business decision-making in the Retail domain.
As a data-savvy expert, you will excel at interpreting complex datasets from data warehouses, translating findings into actionable strategies, and empowering teams to make confident data-driven decisions.
- Data Interpretation & Strategic Insights (25%)
- Analyze large datasets to identify key business patterns, trends, and anomalies
- Transform raw analytics outputs into clear, actionable strategic recommendations for stakeholders
- Conduct comprehensive analyses on customer behavior, sales performance, inventory optimization, and market trends
- Develop hypotheses based on data analysis and validate them through thorough investigations
- Create executive-level insights summaries that translate technical findings into business language
- Identify correlations and causations in data that inform strategic business decisions
- Team Enablement (20%)
- Train and upskill teams on data interpretation, analytics tools, and data-driven decision making
- Develop frameworks and methodologies for teams to independently analyze and interpret data
- Create data literacy programs tailored to different organizational levels and functional areas
- Facilitate workshops and training sessions for stakeholders
- Design self-service analytics guidelines and best practices for non-technical users
- Mentor teams on asking analytical questions and interpreting results correctly
- Strategic Decision Support (25%)
- Partner with business leaders to translate strategic questions into analytical frameworks and data requirements
- Provide data-backed recommendations for key business decisions including product launches, market expansion, and customer acquisition strategies
- Develop and maintain KPI frameworks that align with business objectives and data capabilities
- Lead data-driven strategic planning sessions and quarterly business reviews
- Create scenario analysis and predictive models to support strategic planning and risk assessment
- Validate business assumptions and strategies through comprehensive data analysis
- Analytics Strategy & Implementation (25%)
- Design analytics roadmaps that align data capabilities with business strategic priorities
- Collaborate with technical teams to ensure data models and dashboards support decision-making needs
- Define and prioritize analytics use cases that deliver maximum business value
- Establish data governance frameworks for strategic decision-making processes
- Monitor and optimize the effectiveness of data-driven strategies and recommend improvements
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