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Data Analytics Associate Jobs in Philadelphia, PA

Associate Analyst

Wilmington, DE · On-site +1

$65K - $70K/yr

Our proprietary, data-driven technology and deep industry expertise empower smarter pharmacy ... analytics, healthcare consulting, benefits administration, or a related field (internships or ...

Our proprietary, data-driven technology and deep industry expertise empower smarter pharmacy ... analytics, healthcare consulting, benefits administration, or a related field (internships or ...

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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.
Marketing Analytics Senior Associate - Card Data Analytics

Marketing Analytics Senior Associate - Card Data Analytics

JPMorgan Chase & Co

Wilmington, DE

Full-time

Medical, Retirement

Posted 10 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

Join the Card Marketing Analytics team within Consumer Community Banking Data & Analytics and help shape the strategy of Chase's Credit Card marketing campaigns. This role offers the opportunity to influence multimillion dollar marketing spend, develop your analytics skills, and collaborate with talented colleagues. Grow your career in a dynamic environment that values innovation, strategic thinking, and impactful business decisions.

As a Marketing Analytics Senior Associate in the Card Data & Analytics team, you will focus on translating customer behavioral data into insights that drive marketing strategies to influence card acquisitions on digital channels. You will develop, plan, and execute analytical projects both individually and as part of a team. You will work closely with Analysts, Channel Marketing partners, Data Owners, and Product Owners to deliver capabilities that unlock the power of our data and drive business growth.

You will own end-to-end analytics for multiple campaign strategies, conduct research and recommend marketing strategies, and synthesize large volumes of data into actionable insights. Your work will support business growth targets and provide practical data insights to senior leadership through compelling presentations and visualizations.

Job Responsibilities
  • Own end-to-end analytics for multiple campaign strategies on digital channels, including campaign performance measurement, ad hoc analysis, A/B and incrementality test reads, and profitability and optimization analysis
  • Partner with marketing strategy managers across Card Digital channels to optimize campaigns, develop new strategies, and provide best-in-class analytics to influence and grow new card acquisitions
  • Conduct research and recommend marketing strategies in the digital space to the card business
  • Support business growth targets by providing concise, insightful, and timely analytics for key trends by analyzing large datasets
  • Synthesize large volumes of data into actionable insights to influence business and marketing strategies
  • Deliver practical data insights in a compelling manner actionable by senior leadership using presentations, discussions, and visualizations
Required qualifications, capabilities, and skills
  • Bachelor's and Master's degree in a quantitative discipline (Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance or related fields)
  • 3+ years of industry experience in business analytics roles (e.g., digital analytics, customer analytics, marketing analytics, sales analytics, business insights)
  • Advanced knowledge of querying databases using SQL
  • Experience across a broad range of modern data science and analytics tools (Hive, Python, R, Alteryx)
  • Experience with visualization techniques for data analysis and presentation (Tableau, Power BI)
  • Experience with web analytics tools (Google Analytics, Adobe Analytics)
  • Knowledge in modern data mining, quantitative research, and data science techniques (e.g., Machine learning)
  • Superior written, oral communication and presentation skills with experience communicating concisely and effectively with all levels of management and partners
Preferred qualifications, capabilities, and skills
  • Financial services background
  • Intellectually curious and eager to become subject matter expert in their focus area
  • A strategic thinker with the ability to focus on business goals
  • Highly organized and able to prioritize multiple tasks

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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