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, consumer healthcare technology (telemedicine & pharmacy).

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

Confidential Client is hiring an Entry Level Data Analyst to join a fast-growing consumer healthcare technology team in Austin, TX. This role is for recent graduates (Grad Dates: May 2026 – December 2026) who want hands-on experience applying analytics, basic predictive modeling, and experimentation to subscription-based product metrics.

• Conduct advanced analytics on customer behavior, LTV, retention, and subscription health
• Build and maintain basic predictive models (e.g., regression, random forests) for churn and inventory forecasting
• Design and analyze A/B tests to inform product and marketing decisions
• Create self-service dashboards (Looker/Tableau) and executive summaries for non-technical stakeholders
• Partner with Data Engineering to maintain data integrity in Snowflake/BigQuery
• Translate statistical results into clear, actionable recommendations that drive product and marketing improvements

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Responsibilities

• Move beyond descriptive reporting to perform deep-dive analyses into acquisition, retention, and monetization metrics
• Develop reproducible analyses and lightweight ML models to forecast KPIs like churn and LTV
• Design experiments and run statistical tests to evaluate features and funnel changes
• Build and maintain dashboards and data workflows so teams can self-serve answers
• Document analyses, assumptions, and model performance for cross-functional audiences

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Qualifications

• Bachelor’s degree (or in progress) in a quantitative field (Statistics, Data Analytics, CS, Economics, Mathematics); Master’s preferred
• Recent-graduate eligibility: Grad Dates May 2026 – Dec 2026
• Strong SQL skills for querying and cleaning large datasets
• Proficiency in Python (Pandas, NumPy); experience with Scikit-learn for basic modeling
• Solid foundation in statistics (hypothesis testing, regression, experiment design)
• Experience with BI/visualization tools (Tableau, Looker, or similar)
• Advanced Excel skills (PivotTables, Power Query) for ad-hoc analysis
• Bonus: familiarity with dbt, Airflow, Snowflake/BigQuery, HIPAA awareness, or telemedicine/pharmacy domain knowledge

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Tech Stack

• Data warehouse: Snowflake / BigQuery
• Languages: SQL, Python (primary); R (secondary)
• Visualization: Tableau / Looker
• Transformation: dbt
• Environment: Dockerized development, Git-based version control

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Perks & Benefits

• 100% company-paid Medical, Dental, Vision premium coverage, plus Short-Term Disability and Life Insurance
• 401(k) with company match
• Paid time off and company-paid holidays
• Free daily lunch
• Onsite role in Austin, TX — this position is fully onsite and best suited for candidates who want to work in-office

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Workplace & Eligibility Notes

• This role is targeted to recent graduates (May 2026 – Dec 2026). Candidates must be legally authorized to work in the U.S. — Confidential Client will comply with applicable employment and immigration laws.
• Careertakes and Confidential Client do not tolerate discrimination. Reasonable accommodations are available for applicants with disabilities; please notify Careertakes if you need assistance.

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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.