1

Analytics Jobs in Philadelphia, PA (NOW HIRING)

The Small Business Card Analytics team is a strategic partner to the Small Business Card line of business (LOB), leveraging data and analytics to accelerate growth and deliver actionable insights ...

OVERVIEW Join our Analytics team to drive deeper understanding of customer behavior and product performance across our financial wellness platform. As Director of Analytics, you will lead the ...

next page

Showing results 1-20

Analytics information

See Philadelphia, PA salary details

$61.6K

$119.8K

$171.1K

How much do analytics jobs pay per year?

As of Aug 21, 2026, the average yearly pay for analytics in Philadelphia, PA is $119,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $142,400.00 per year, depending on experience, location, and employer.

What is analytics?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

What are the key skills and qualifications needed to thrive in analytics?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience and skills in tools like SQL, Python, and Tableau. Compensation varies by industry, location, and level of expertise, but it is considered a lucrative career option for those with strong analytical and technical abilities.

What are the most commonly searched types of Analytics jobs in Philadelphia, PA?

The most popular types of Analytics jobs in Philadelphia, PA are:

What are popular job titles related to Analytics jobs in Philadelphia, PA?

For Analytics jobs in Philadelphia, PA, the most frequently searched job titles are:

What cities near Philadelphia, PA are hiring for Analytics jobs?

Cities near Philadelphia, PA with the most Analytics job openings:

Infographic showing various Analytics job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $119,777 per year, or $57.6 per hour.

Senior Analytics Associate, Marketing Analytics

JP Morgan Chase

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 3 days ago

New


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

We are guided by curiosity, passion, and optimism, and we are dedicated to enabling growth opportunities for everyone. You will join a team that values thoughtful analysis, collaboration, and clear storytelling with data. If you enjoy turning complex data into decisions, you will find meaningful opportunities to grow your career here.

As a Senior Analytics Associate, Marketing Analytics at JPMorganChase within Consumer & Community Banking on the Data & Analytics team, you will leverage your analytical expertise to guide strategic decisions through executive dashboards, ongoing reporting, and deep-dive analyses that address emerging business challenges. You will act as a strategic partner, using data and analytics to accelerate growth, improve campaign performance, and deliver actionable insights. You will work closely with stakeholders to enable informed, data-driven decisions and continuous improvement across the team.

Job responsibilities

  • Manage and analyze large, complex datasets from multiple sources to develop actionable insights that drive measurable outcomes
  • Produce accurate, timely analyses across marketing offer operational performance, trend analysis, campaign performance, and subscriber behavior
  • Communicate analytical results clearly to business partners and senior leaders, tailoring content to different audiences and technical backgrounds
  • Develop and maintain operational dashboards that support business functions and decision-making
  • Partner with cross-functional teams to assess enterprise trends, the competitive environment, and impacts on customer behavior
  • Synthesize high volumes of data into meaningful insights and recommendations that enable action
  • Support business growth targets by translating business needs into concise, insightful analytics on key trends
  • Execute responsibilities with a high degree of autonomy, independently managing workstreams, improving processes, and engaging stakeholders
  • Operate effectively in a fast-paced environment by staying organized, detail-oriented, and able to manage multiple priorities

Required qualifications, capabilities and skills

  • Bachelor's degree in statistics, economics, mathematics, or engineering with significant quantitative research and data analysis experience
  • 4+ years of applied experience using SQL, Python, Alteryx, and Tableau
  • Experience preparing and integrating large, complex datasets; strong database skills; and the ability to write, optimize, and tune complex SQL queries
  • Demonstrated ability to define metrics, evaluate results, and translate findings into business insights
  • Strong critical and analytical thinking skills with high attention to detail
  • Excellent written and verbal communication skills, including the ability to distill complex findings for senior leaders and non-technical audiences
  • Experience building and maintaining reporting, dashboards, and recurring performance measurement
  • Familiarity with modern analytics platforms and data visualization tools
  • Proven ability to prioritize, problem-solve, and manage multiple deliverables in a deadline-driven environment
  • Experience designing and developing data products, including solutions that leverage artificial intelligence and large language models

Preferred qualifications, capabilities and skills

  • Advanced SQL expertise; proficiency with programming languages such as Python or R
  • Prior exposure to marketing analytics, competitive intelligence, or strategic analytics
  • Strong storytelling through data, with the ability to create clear, influential insights for stakeholder deliverables
  • Highly organized, intellectually curious, 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.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom