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, Business Consulting and Services.

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

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What You’ll Do

As a Data Analyst supporting Confidential Client, you will transform product, newsroom, marketing, and advertising data into clear, actionable insights that increase digital subscriptions, engagement, and lifetime value.

• Use SQL to query and analyze large event and product datasets.
• Build and validate statistical models (e.g., logistic regression, survival analysis, clustering, propensity models) to measure conversion, retention, churn risk, and LTV.
• Develop audience segmentation and funnel analyses to identify growth opportunities.
• Collaborate with product, editorial, marketing, and ad teams to translate findings into experiments and product changes.
• Create dashboards and reports using BI best practices to surface key metrics to stakeholders.
• Work with analytics engineering tools (dbt, BigQuery) to improve data models and ensure trusted metrics.
• Apply Python or R for data preparation, statistical testing, and reproducible analyses.

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What We’re Looking For

• 5+ years in product analytics, business intelligence, or a related analytical role.
• Advanced SQL experience analyzing large datasets (BigQuery experience preferred).
• Experience with dbt-based data models and collaborating with analytics engineering.
• Proficiency in Python or R for statistical analysis and data manipulation.
• Hands-on experience with event-based / behavioral analytics platforms (e.g., Google Analytics, Mixpanel, Amplitude, Adobe Analytics).
• Strong understanding of user engagement metrics: conversion, retention, churn, and lifetime value.
• Experience applying statistical techniques including logistic regression, survival analysis, clustering, and propensity modeling.
• Excellent communication skills and the ability to present complex findings to non-technical stakeholders.

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Preferred / Nice-to-have

• Prior experience in media, publishing, or subscription-driven digital products.
• Familiarity with experimentation (A/B testing) design and analysis.
• Experience productionizing models or partnering with ML/engineering teams.
• Prior work with consumer engagement or advertising analytics.

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Compensation & Benefits

• Base salary: $90,000 - $110,000 (exact compensation will vary based on skills, experience, and education).
• Benefit eligibility begins on day 31 and includes medical, dental, and vision insurance; HSA, FSA, and DCFSA options; and 401(k) access with employer matching.
• Paid sick leave and other paid time off as required by applicable law.

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Work Arrangement & Duration

• Hybrid — onsite 2 days per week in Philadelphia, PA 19106.
• Employment type: Full-time, direct hire.

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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.