Senior Data Analyst at JMG

Position Summary

• The Senior Data Analyst is a strategic role embedded within the commercial leadership team. You will be the primary data partner to the CCO, transforming raw data into actionable insights that drive commercial strategy, revenue growth, and customer-centric decision-making. You will go beyond reporting to provide predictive and prescriptive analytics, influencing pricing, sales performance, marketing effectiveness, and market expansion.

Key Responsibilities

Strategic Analysis & Business Intelligence:

• Partner with the CCO and commercial leaders (Sales, Marketing, Business Development) to define key business questions and identify opportunities for growth and efficiency.
• Develop and maintain a suite of dashboards (in Power BI, Tableau, or similar) to monitor commercial KPIs (e.g., Customer Lifetime Value, Customer Acquisition Cost, sales funnel metrics, regional performance, product profitability).
• Conduct deep-dive analyses into sales trends, customer segmentation, and market basket analysis to uncover hidden patterns.

Advanced Analytics & Modeling:

• Build predictive models for forecasting demand, customer churn propensity, and sales pipeline outcomes.
• Perform pricing analysis and scenario modeling to support strategic pricing decisions.
• Design and analyze A/B tests for marketing campaigns, website optimization, and commercial initiatives.

Data Management & Governance:

• Extract, clean, and transform data from multiple sources (CRM like Salesforce, ERP, marketing platforms, internal databases).
• Ensure the accuracy and consistency of commercial data, advocating for data quality improvements.
• Document data definitions, metric calculations, and analytical methodologies.

Storytelling & Stakeholder Leadership:

• Synthesize complex findings into clear, compelling narratives and presentations for executive audiences.
• Translate technical results into concrete business recommendations for the CCO and commercial team.
• Proactively communicate insights and identify risks or opportunities based on data trends.

Cross-Functional Collaboration:

• Act as a bridge between the Commercial department and IT/Data Engineering teams to define data requirements and improve data infrastructure.
• Mentor junior analysts and foster a data-driven culture within the commercial organization.

Qualifications & Experience

Essential:

• Education: Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Experience: 5+ years of proven experience as a Data Analyst, Business Intelligence Analyst, or similar role, with at least 2 years in a senior or strategic capacity.
• Technical Proficiency:
• SQL: Expert-level ability to write complex queries for data extraction and transformation.
• Visualization: Advanced skills in Power BI (preferred) or Tableau to create interactive, executive-level dashboards.
• Analytics Tools: High proficiency in Python (Pandas, NumPy, SciPy, scikit-learn) or R for statistical analysis and predictive modeling.
• Spreadsheets: Mastery of Microsoft Excel/Google Sheets (pivot tables, advanced formulas, data models).
• Commercial Acumen: Direct experience supporting commercial functions (sales, marketing, pricing, strategy). Understanding of core sales cycles, marketing channels, and financial metrics.
• Soft Skills: Exceptional communication and storytelling skills. Ability to manage multiple projects, think critically, and solve problems independently. A proactive, business-outcome-focused mindset.