
Senior Retail Data Strategist
1 day ago
We are seeking an expert data consultant who can bridge the gap between technical analytics and business decision-making in the retail domain.
The ideal candidate will excel at interpreting data warehouse outputs, translating findings into actionable strategies, and empowering teams to make confident data-driven decisions.
Key Responsibilities:
- Analyze complex datasets from data warehouses to identify business-critical patterns, trends, and anomalies.
- Transform raw analytics outputs into clear, actionable strategic recommendations for business stakeholders.
- Conduct deep-dive analyses on customer behavior, sales performance, inventory optimization, and market trends.
- Develop data-driven hypotheses and validate them through comprehensive analytical investigations.
- Create executive-level insights summaries that translate technical findings into business language.
- Identify correlations and causations in data that inform strategic business decisions.
- Train and upskill cross-functional teams on data interpretation, analytics tools, and data-driven decision making.
- Develop standardized frameworks and methodologies for teams to independently analyze and interpret data.
- Create data literacy programs tailored to different organizational levels and functional areas.
- Facilitate data interpretation workshops and training sessions for business stakeholders.
- Design self-service analytics guidelines and best practices for non-technical users.
- Mentor business teams on asking the right analytical questions and interpreting results correctly.
- 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 strategic 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.
- Design analytics roadmaps that align data capabilities with business strategic priorities.
- Collaborate with technical teams to ensure data models and dashboards support strategic 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.
Requirements:
- Bachelor's degree in Data Science, Statistics, Economics, Business Analytics, or related quantitative field.
- MBA or Master's degree in Business Administration, Strategy, or related field preferred.
- 2+ years of experience in data analysis, business intelligence, or analytics consulting in retail.
- Proven track record of translating data insights into successful business strategies.
- Experience working with senior leadership and cross-functional teams in strategic decision-making processes.
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