Commercial Data Analyst
The Commercial Data Analyst at Confidential Client serves as a critical link between Sales and Finance, leveraging rich user data to generate actionable insights that drive revenue and market share growth. This role involves building predictive models, designing and evaluating go-to-market strategies, and automating data workflows to support data-driven decision-making. The position is ideal for an early-career professional with strong data science skills and a passion for applying analytics to commercial outcomes in a dynamic, athlete-focused company.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Wellness and Fitness Services.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
Position Overview
Confidential Client (Wellness and Fitness Services) is hiring a Commercial Data Analyst to be the analytical bridge between Sales and Finance. This hands-on role focuses on customer analytics, segmentation, propensity modeling, and measurable go-to-market recommendations that drive revenue and profitability. This is a Full-time, Associate-level role based in Atlanta, GA.
What You’ll Do
- Build and evaluate customer segmentation and propensity models (regression, clustering, ensemble methods) using device registration, usage, subscription, and demographic data.
- Translate analytical results into actionable go-to-market targets for D2C and insights for B2B partners to improve assortment, sell-through, and co-marketing.
- Design, run, and evaluate pricing and promotional tests; measure conversion, upgrade rates, retention, elasticity, and profitability.
- Define and maintain key customer-value metrics (LTV, repeat purchase rate, cohort retention) and identify leading indicators of high-value customers.
- Ensure data quality and investigate anomalies or metric discrepancies across sources.
- Automate recurring validation and reporting workflows using SQL and Python; build dashboards for funnel performance, cohort health, and campaign outcomes.
- Document methods, assumptions, and outcomes so learnings compound over time and can be reviewed with stakeholders.
Scope & Decision Authority
- Own defined analyses, reports, and outcomes within assigned go-to-market strategies.
- Continuously evaluate short-term sales opportunities across key markets and recommend actions.
- Make analytical and methodological decisions within established frameworks; collaborate with Sales and Finance on strategy and prioritization.
Qualifications (Required)
- Bachelor’s degree in Data Science, Statistics, Economics, or related field.
- 2–4 years of experience in data analysis, analytics, or data science — ideally in a commercial or consumer-products environment.
- Strong proficiency in SQL and experience working with large datasets.
- Proficiency in Python for data analysis and modeling.
- Strong foundation in statistics (hypothesis testing, confidence intervals, experimental design).
- Familiarity with modeling concepts: regression, feature selection, clustering, ensemble methods.
- Experience applying customer analytics concepts (segmentation, lifetime value, cohort retention) to business decisions.
- Strong communication skills to translate technical analysis for non-technical stakeholders and drive action.
Nice to Have
- Experience with modern cloud data stacks (AWS, Redshift, dbt).
- Experience with BI tools such as Power BI or Tableau.
- Comfort using AI-assisted tools to accelerate analysis while maintaining high quality.
- Interest in fitness and endurance sports.
Role Details
- Employment type: Full-time
- Seniority level: Associate
- Industry: Wellness and Fitness Services
Why Apply (Benefits of the role)
- Apply real data science skills to profit-generating actions and influence commercial strategy.
- Work cross-functionally with Sales and Finance to deliver measurable business impact.
- Build repeatable analytical frameworks and dashboards used across the organization.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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