Data Insight Strategist

Unlock Strategic Insights with Data

This retail analytics role seeks a data-savvy professional who excels at interpreting data warehouse outputs, translating findings into actionable strategies, and empowering teams to make confident decisions.

Key responsibilities include analyzing complex datasets to identify business-critical patterns, trends, and anomalies. This involves transforming raw analytics outputs into clear strategic recommendations for business stakeholders, as well as conducting deep-dive analyses on customer behavior, sales performance, inventory optimization, and market trends.

Data interpretation is a critical skill in this role, requiring the ability to develop data-driven hypotheses and validate them through comprehensive analytical investigations. Additionally, you will create executive-level insights summaries that translate technical findings into business language, identifying correlations and causations in data that inform strategic business decisions.

You will also be responsible for training cross-functional teams on data interpretation, analytics tools, and data-driven decision making. This includes developing standardized frameworks and methodologies for teams to independently analyze and interpret data, as well as creating data literacy programs tailored to different organizational levels and functional areas.

The successful candidate will have a strong analytical background, preferably in data science, statistics, economics, or business analytics. Experience working with senior leadership and cross-functional teams in strategic decision-making processes is highly desirable.

A bachelor's degree is required, while an MBA or Master's degree in Business Administration, Strategy, or related field is preferred. At least two years of experience in data analysis, business intelligence, or analytics consulting in retail is necessary.

• 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.

This role offers opportunities for career growth and development, with a focus on delivering high-quality results and driving business success.

Key Skills & Requirements:

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 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.

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 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.

Team Enablement (20%)

• Train 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.

Data Interpretation & Strategic Insights (25%)

• Analyze complex datasets to identify business-critical patterns, trends, and anomalies.
• Transform raw analytics outputs into clear 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.