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Data Analytics Lead Remote Jobs in Philadelphia, PA

Excellent quantitative and analytical abilities, able to generate actionable insights from data ... Ability to build out and lead a high performing team. * Forward thinking, always looking to improve ...

Philadelphia ,PA - Hybrid - 3 Days a week in the office/ Remote Duration: Long-Term Contract Job Summary We are seeking a detail-oriented HEDIS Data Analyst with strong SQL skills to support Health ...

Senior Clinical Data Risk Analyst - United States (Remote) ICON is a global healthcare intelligence ... The Senior CDRA is a clinical risk management and central monitoring functional lead of multiple ...

You will report to the VP of Analytics. Key Responsibilities: * Support End-to-End Analyses * Partner with Lead Analysts/Data Scientists to understand business priorities and translate them into ...

You will report to the VP of Analytics. Key Responsibilities: * Support End-to-End Analyses * Partner with Lead Analysts/Data Scientists to understand business priorities and translate them into ...

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Showing results 1-20

Data Analytics Lead Remote information

See Philadelphia, PA salary details

$61K

$125K

$176.6K

How much do data analytics lead remote jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data analytics lead remote in Philadelphia, PA is $124,974.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,900.00 and $154,900.00 per year, depending on experience, location, and employer.

What does a data analytics lead do when working remotely?

A Data Analytics Lead working remotely is responsible for overseeing data analysis projects, managing a team of data analysts, and ensuring the delivery of actionable insights to support business decisions. They collaborate with stakeholders to define analytics goals, design data models, and implement data-driven strategies. Remote Data Analytics Leads use various digital tools to coordinate workflows, monitor project progress, and communicate findings effectively with both technical and non-technical team members. Their role is essential in driving data-centric initiatives and ensuring the accuracy and integrity of analytical results.

What are the key skills and qualifications needed to thrive as a data analytics lead in a remote setting?

To excel as a Data Analytics Lead remotely, you need expertise in data analysis, statistical modeling, and data visualization, typically supported by a degree in a quantitative field and relevant industry experience. Familiarity with tools like SQL, Python or R, BI platforms (such as Tableau or Power BI), and cloud data systems is crucial, along with certifications like Certified Analytics Professional or Google Data Analytics. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and translating complex data insights for stakeholders. These competencies ensure effective decision-making, seamless project execution, and impactful data-driven strategies within a remote work environment.

How does a data analytics lead typically collaborate with cross-functional teams in a remote setting?

As a Data Analytics Lead working remotely, you'll frequently coordinate with stakeholders from product, engineering, marketing, and executive teams. This involves leading virtual meetings to clarify requirements, aligning on project goals, and presenting analytical findings in a clear, actionable format. You'll also mentor junior analysts, foster a collaborative team culture through digital platforms, and ensure data-driven insights are effectively integrated into business strategies. Strong communication skills and the ability to manage projects across time zones are key to success in this environment.

What is the difference between Data Analytics Lead Remote vs Data Analyst Remote?

AspectData Analytics Lead RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; experience in leadership rolesBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentLeading analytics projects, managing teams, strategic planningData collection, analysis, reporting, supporting decision-making
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsSimilar industries, often within larger teams or departments

The main difference between Data Analytics Lead Remote and Data Analyst Remote lies in their responsibilities and seniority. The Lead typically manages analytics teams and oversees strategic projects, requiring more experience and leadership skills. In contrast, Data Analysts focus on data collection, analysis, and reporting tasks. Both roles are vital in data-driven organizations, but the Lead holds a broader scope and higher level of responsibility.

What job categories do people searching Data Analytics Lead Remote jobs in Philadelphia, PA look for?

The top searched job categories for Data Analytics Lead Remote jobs in Philadelphia, PA are:

Infographic showing various Data Analytics Lead Remote job openings in Philadelphia, PA as of August 2026, with employment types broken down into 81% Full Time, 7% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $124,974 per year, or $60.1 per hour.

Lead Analyst, Player Analytics

Collingswood, NJ โ€ข Remote

Rush Street Interactive
Gambling Activitiesย โ€ขย 201 - 500 employees

$100K - $140K/yr

Full-time

Re-posted 3 days ago


Job description

Rush Street Interactive (NYSE: RSI) is a market leader in online casino and sports betting, currently operating real-money gaming with our brands: BetRivers.com, PlaySugarHouse.com, and RushBet.co. We're building bridges between online, social and land-based gaming businesses to create amazing, integrated experiences that keep players in the game.

We're looking for a Lead Analyst to own growth and player behavior analytics across our sportsbook, casino, and poker products. This is a high-visibility, self-directed role that sits at the intersection of analytics and business strategy. You'll partner closely with Revenue Operations, Marketing, Product, and VIP to surface insights that directly drive player engagement and retention. This role goes beyond reporting and dashboarding, emphasizing analytical problem-solving, business partnership, and data-driven recommendations.

The right candidate has strong analytical instincts, comfort with ML tooling, and a habit of using AI to push work further and faster. You'll operate with autonomy, identifying the right questions, building the right frameworks, and turning analysis into recommendations stakeholders can act on.

What You'll Do

Growth & retention analytics

  • Partner with Revenue Operations, Marketing, Product and VIP to prioritize and execute analytics initiatives focused on player growth and long-term retention.

Bonus performance & optimization

  • Manage end-to-end analytics on bonus programs- measuring performance, developing engagement strategies, and optimizing structures for both player value and ROI.

Player behavior & segmentation

  • Analyze in-platform behavior across products to uncover engagement patterns, friction points, and monetization opportunities. Translate findings into personalization strategies and product recommendations.

Advanced analytics & AI tooling

  • Apply ML techniques and AI tools to accelerate insight generation, build predictive models, and continuously raise the ceiling of what the analytics function can deliver.

What You'll Bring:

  • 3+ years in analytics, ideally within gaming, sports betting, or a consumer product with meaningful behavioral data.
  • Bachelor's degree in mathematics, Economics, Engineering, Computer Science, or a related quantitative field preferred or equivalent relevant experience.
  • You have strong SQL fundamentals, with a command of advanced concepts like window functions, CTEs, and complex aggregations.
  • You are comfortable working directly in Snowflake, writing efficient queries against large datasets.
  • You are proven at working cross-functionally and can distill complex analysis into clear narratives and actionable recommendations for non-technical audiences.
  • You bring a solid understanding of A/B testing and experimental design, including statistical significance and translating test results into business context.
  • You have experience with funnel and cohort analysis, including modeling player lifecycle stages, retention curves, and engagement funnels.
  • You have working knowledge of ML concepts and hands-on experience applying AI tools to analytics workflows.
  • Familiarity with dbt transformation workflows and model structuring preferred.
  • Python proficiency, whether for analysis, automation, or lightweight ML work preferred.
  • Working knowledge of segmentation models, propensity scoring, churn prediction, or LTV modeling preferred.
  • Experience in gaming or iGaming, including familiarity with sportsbook, casino, or poker product mechanics and player economics preferred.
  • Experience with incentive or promotion analytics is also a plus.
  • Able to travel occasionally both domestically and internationally #LI-REMOTE
This role spans a wide breadth of experience at Rush Street Interactive, welcoming candidates with diverse experiences, backgrounds, and locations. The pay range reflects potential variations in experience, skills, and location. The pay range does not reflect total compensation, which includes base pay, benefits, and/or bonuses. For candidates outside the US (Canada, Europe, Latin America), we take a locally informed approach to compensation and will share specific ranges based on your country of residence.

Location Eligibility (for nationwide roles): Open to candidates in eligible locations in the Continental US or Canada.

Location Eligibility (for other roles): Location requirements may vary and will be specified in the job posting.

Benefits:

  • Discretionary annual company bonus (Eligibility Varies by Role)
  • 401(k) plan with 100% company match on the first 4%
  • Comprehensive medical coverage (HSA & FSA plans), dental, and vision insurance
  • Paid Time Off (Eligibility Varies by Role)
  • Employee Assistance Program (EAP)
Pay Range
$100,000—$140,000 USD
What Makes Us Great:
  • Comprehensive compensation
  • Work-life balance initiatives
  • Autonomy – we embrace personal freedom and responsibility
  • Creativity – we are open to new ideas of how we can be better
  • Growth – we want you to develop personally as well as professionally
  • Top-notch professionals who are passionate about what they do
  • People-oriented environment and supportive atmosphere

As a rapidly growing company in an emerging industry, you'll have a huge impact on our product and our company. We like proactive team members and strive to have a company of self-disciplined professionals who enjoy collaboration, having fun, and of course, achieving together what others believe to be improbable. We are dedicated to treating everyone with respect and to support your professional and personal growth.

Rush Street Interactive is an equal opportunity employer and committed to a diverse and inclusive workplace. All qualified applicants will be considered for employment without regard to race, national origin, ancestry, sex, sexual orientation, sexual identity and expression, marital status, family status, lifestyle, age, culture, religion, military and veteran status, citizenship, or disability.

Be at the forefront of this ground-breaking industry! Apply now!

Rush Street Interactive uses AI-assisted tools at select stages of the hiring process to enhance efficiency, consistency, and communication. AI does not make hiring decisions - final decisions are made exclusively by our recruiting and hiring teams.

Rush Street Interactive participates in E-Verify for U.S.-based positions. As required by federal law, we provide the following notices to all prospective U.S. employees:
E-Verify Participation Notice (English/Spanish)
Right to Work Notice (English/Spanish)