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How much do entry level data science analytics jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for entry level data science analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.
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Entry Level Data Science Analytics jobs near you
A map of the United States highlighting the number of Entry Level Data Science Analytics job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Entry Level Data Science Analytics job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Data Science Senior Associate - Consumer Bank Marketing Analytics

JPMorganChase

Columbus, OH • On-site

Full-time

Posted 14 days ago

Job description

Job Summary:
JPMorganChase is a leading financial services firm, and they are seeking a Data Science Senior Associate within Consumer Bank Marketing Analytics. In this role, you will own measurement and testing for Chase First Banking marketing campaigns, partnering with stakeholders to deliver actionable insights that enhance customer relationships and improve retention.
Responsibilities:
• Lead analytics strategy, planning, and execution for Chase First Banking marketing campaigns
• Deliver regular campaign performance measurement and reporting
• Conduct unstructured, ad hoc analyses of customer behavior and engagement
• Execute A/B and incrementality test readouts, including interpretation and recommendations
• Perform profitability, optimization, and return-on-investment analyses to inform investment decisions
• Consult on experimental design and data collection, developing new measurement approaches with stakeholders and partner teams
• Translate results into clear narratives and present insights to stakeholders and senior management
• Contribute to innovation initiatives that advance analytics methods and scalability
• Collaborate across Marketing Analytics and Test Design teams while supporting an inclusive team environment
• Maintain a rigorous controls environment to ensure accurate, timely, and reproducible results
Qualifications:
Required:
• Bachelor’s degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)
• 3+ years of experience applying statistical methods to real-world business problems
• 3+ years of experience using SQL and at least one of the following: SAS, Python, or R
• Demonstrated experience using AI-assisted development tools (e.g., GitHub Copilot, Claude Code, or similar) to accelerate analysis and code development
• Experience using data visualization techniques for analysis and stakeholder-ready storytelling
• Hands-on experience with A/B and incrementality testing methodologies, including experimental design, significance evaluation, and translating results into business recommendations
• Experience with web analytics tools (e.g., Google Analytics, Adobe/Omniture Insight/Visual Sciences, Webtrends, CoreMetrics, etc.)
• Strong written and verbal communication and presentation skills, with experience communicating effectively across levels and partner groups
• Master’s degree in a quantitative discipline (e.g., Data Science/Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related field)
Preferred:
• Intellectual curiosity and motivation to build deep subject matter expertise in a focus area
• Strategic thinking with an ability to stay anchored to measurable business goals
• Strong organization skills with the ability to prioritize multiple workstreams effectively
• Strong relationship-building skills and comfort partnering with key stakeholders
• Tableau preferred.
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.

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