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Data Analytics Associate Jobs in Philadelphia, PA

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How much do data analytics associate jobs pay per month?

As of May 28, 2026, the average monthly pay for data analytics associate in Philadelphia, PA is $6,347.75, according to ZipRecruiter salary data. Most workers in this role earn between $5,758.33 and $6,766.67 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Associate, and why are they important?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.
What are the most commonly searched types of Data Analytics jobs in Philadelphia, PA? The most popular types of Data Analytics jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Data Analytics Associate jobs? Cities near Philadelphia, PA with the most Data Analytics Associate job openings:
Infographic showing various Data Analytics Associate job openings in Philadelphia, PA as of May 2026, with employment types broken down into 11% Internship, 78% Full Time, and 11% Contract. Highlights an 61% In-person, 17% Hybrid, and 22% Remote job distribution, with an average salary of $76,173 per year, or $36.6 per hour.

Quantitative Analytics Associate - Co-brand Card Data Analytics

JPMorganChase

Wilmington, DE • On-site

Full-time

Posted 6 days ago


Job description

Job Summary:
JPMorganChase is a leading financial services firm that aims to create engaged, lifelong relationships with its customers. The Quantitative Analytics Associate will develop and execute analytical plans to improve portfolio performance across the customer lifecycle, partnering with various teams to align insights with business priorities.
Responsibilities:
• Execute analytics to assess and improve portfolio performance across acquisition economics, spend, engagement, retention, and attrition
• Develop measurement approaches to identify key drivers of performance and quantify opportunity size
• Translate analytical findings into actionable recommendations for partnership strategy, rewards optimization, and customer experience enhancements
• Build and maintain recurring partner reporting and performance narratives for senior stakeholders
• Present insights and recommendations to senior management and partner executives in clear, decision-ready formats
• Partner with cross-functional teams to align analyses to business priorities and drive outcomes
• Maintain a rigorous controls environment by ensuring data accuracy, documentation, and adherence to data governance standards
• Automate and scale analytics using modern tools to improve efficiency, repeatability, and reliability
Qualifications:
Required:
• Bachelor’s degree in a quantitative field and 2+ years of applied data analytics experience, or an advanced degree and two years of applied experience
• Advanced proficiency in SQL and experience working with large, complex datasets
• Experience using statistical and analytics tools (Python, R, or SAS) to conduct analysis and communicate insights
• Strong analytical, quantitative, and problem-solving skills with the ability to structure ambiguous business questions into testable analyses
• Demonstrated ability to communicate complex information clearly to technical and non-technical audiences
• Strong stakeholder management skills, including experience influencing decisions through data-driven recommendations
• Proven collaboration skills and ability to work effectively across teams and levels of seniority
• High attention to detail and a controls mindset, with experience ensuring accuracy and compliance in analytics outputs
Preferred:
• Experience in credit card analytics, consumer lending, or payments
• Experience supporting co-brand partnerships, loyalty, or rewards analytics
• Experience with visualization and big data tools (for example, Tableau, Spark, or Hadoop)
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.