Customer Insights Analyst Jobs
Customer Insights Analyst jobs are open across retail, financial services, healthcare, and technology, at every level from entry-level to senior and principal, with specializations in consumer research, behavioral analytics, and market segmentation. Find a role that fits from the openings below and apply directly.
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Join the Payments Data & Analytics Customer Insights team where we leverage data science, research, and business acumen to promote client-focused innovation and apply your technical expertise to lead analytics and GenAI/agentic AI initiatives that generate actionable merchant and consumer insights, inform product strategy, and deliver measurable impact for Chase Merchant Services clients.
As a Data Scientist Senior Associate, within the Payments Data & Analytics Customer Insights team, you will be responsible for leading and executing big data analytics projects in response to product innovation for Merchant Services and deliver insights that optimize merchant location strategy and targeted marketing for small business merchants, as well as generate deep consumer and business insights.
Job Responsibilities:
- Build customer insights workstreams: frame business problems, define hypotheses, identify success metrics, design analyses, and deliver recommendations with clear commercial impact.
- Develop scalable datasets and pipelines using tools such as Snowflake, SQL, and Python, enabling repeatable reporting, experimentation, and advanced analytics.
- Design and refine prompts to improve AI model performance. Work with subject matter experts to align prompts with business goals and user needs and iterate data model designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.
- Drive GenAI solution development: partner with SMEs and product partners to prototype and iterate on LLM-powered assistants and workflow automations; translate business needs into effective prompts, retrieval strategies, and agent workflows.
- Monitor AI model performance, identify areas for enhancement, and implement updates to maintain quality and relevance.
- Partner with data owners, product managers, data engineers, and other stakeholders to aid in the development of data models, algorithms and ensure solutions are scalable. Communicate results, insights, and recommendations clearly to business stakeholders and senior leadership and support Customer Insights applications, as well as custom client analytics requests on an ad hoc basis.
Required Qualifications, Capabilities, and Skills:
- Bachelor's or Master's Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field; Minimum of 3 years relevant work experience.
- Strong programming skills in in Python and SQL for data processing and analysis.
- Expertise in quantitative research techniques and analytics using Python and SQL.
- Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables.
- Knowledge of machine learning/data science theory, techniques, and tools.
- Experience in leveraging Large Language Models (LLMs) and agent AI techniques. Ability to collaborate effectively and cultivate strong partnerships.
Preferred Qualifications, Capabilities, and Skills:
- Experience in data analysis, data science, or a related field.
- Familiarity with AWS, Snowflake for data management and analysis.
- Understanding of quality assurance practices and the importance of data integrity.
- Familiarity with evaluation/monitoring concepts for GenAI solutions (e.g., test cases, human-in-the-loop feedback, basic quality metrics) to support reliable deployments.
ABOUT US
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Join the Payments Data & Analytics Customer Insights team where we leverage data science, research, and business acumen to promote client-focused innovation and apply your technical expertise to lead analytics and GenAI/agentic AI initiatives that generate actionable merchant and consumer insights, inform product strategy, and deliver measurable impact for Chase Merchant Services clients.
As a Data Scientist Senior Associate, within the Payments Data & Analytics Customer Insights team, you will be responsible for leading and executing big data analytics projects in response to product innovation for Merchant Services and deliver insights that optimize merchant location strategy and targeted marketing for small business merchants, as well as generate deep consumer and business insights.
Job Responsibilities:
- Build customer insights workstreams: frame business problems, define hypotheses, identify success metrics, design analyses, and deliver recommendations with clear commercial impact.
- Develop scalable datasets and pipelines using tools such as Snowflake, SQL, and Python, enabling repeatable reporting, experimentation, and advanced analytics.
- Design and refine prompts to improve AI model performance. Work with subject matter experts to align prompts with business goals and user needs and iterate data model designs to enhance functionality and user experience. Conduct rigorous testing for reliability and effectiveness.
- Drive GenAI solution development: partner with SMEs and product partners to prototype and iterate on LLM-powered assistants and workflow automations; translate business needs into effective prompts, retrieval strategies, and agent workflows.
- Monitor AI model performance, identify areas for enhancement, and implement updates to maintain quality and relevance.
- Partner with data owners, product managers, data engineers, and other stakeholders to aid in the development of data models, algorithms and ensure solutions are scalable. Communicate results, insights, and recommendations clearly to business stakeholders and senior leadership and support Customer Insights applications, as well as custom client analytics requests on an ad hoc basis.
Required Qualifications, Capabilities, and Skills:
- Bachelor's or Master's Degree in Science, Technology, Engineering, Mathematics (STEM) or a related field; Minimum of 3 years relevant work experience.
- Strong programming skills in in Python and SQL for data processing and analysis.
- Expertise in quantitative research techniques and analytics using Python and SQL.
- Proven critical thinking and creative problem-solving skills with ability to translate strategy into deliverables.
- Knowledge of machine learning/data science theory, techniques, and tools.
- Experience in leveraging Large Language Models (LLMs) and agent AI techniques. Ability to collaborate effectively and cultivate strong partnerships.
Preferred Qualifications, Capabilities, and Skills:
- Experience in data analysis, data science, or a related field.
- Familiarity with AWS, Snowflake for data management and analysis.
- Understanding of quality assurance practices and the importance of data integrity.
- Familiarity with evaluation/monitoring concepts for GenAI solutions (e.g., test cases, human-in-the-loop feedback, basic quality metrics) to support reliable deployments.
ABOUT US
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
Customer Insights Analyst Jobs by Experience Level
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Find JobsCustomer Insights Analyst Job Market
Who's Hiring
- Ryder System22
- Amazon5
- Macy's2
- Prologis2
- Dollar Tree2
Top Industries Hiring
- Technology & Software
- Energy
- Retail
- E-Commerce & Online Marketplaces
What Employers Look For
The qualifications that appear most often in customer insights analyst jobs.
- Bachelor's degree in marketing, statistics, psychology, or a related analytical field
- Proficiency in SQL for querying customer and transaction databases
- Experience with survey design, qualitative research, or focus group moderation
- Ability to build and present dashboards in Tableau, Power BI, or Looker
- Familiarity with statistical analysis tools such as SPSS, R, or Python
- Two or more years of experience in consumer research, market research, or analytics
Tips for Your Customer Insights Analyst Job Search
Quantify impact on your resume
Hiring managers for customer insights roles want to see numbers behind your work. Replace vague bullets like 'analyzed customer data' with outcomes: how many segments you built, how a recommendation shifted strategy, or how many stakeholders used your dashboards regularly.
Showcase your tools stack clearly
SQL, Python, Tableau, and SPSS appear constantly in job descriptions for this role. List the specific tools you use in a dedicated skills section, and name them again in your bullet points so applicant tracking systems and recruiters can match them instantly.
Target postings by industry vertical
Customer insights work differs sharply between retail, fintech, and healthcare. Tailor each application to the industry: mirror their language around NPS, churn, or patient experience, and lead with examples from that domain if you have them.
Apply early to roles that fit
Migrate Mate lists customer insights analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a research-to-decision story
Interviewers consistently ask how you turned raw data into a business recommendation. Prepare two or three examples where you can walk from the research question through your method, your finding, and the decision it informed, without getting lost in technical details.
Negotiate using scope, not just title
When evaluating an offer, ask about data access, team size, and whether insights actually reach decision-makers. A senior title at a company where research sits in a drawer is worth less than a mid-level role where your work drives product or marketing strategy.
Customer Insights Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most customer insights analysts?
The companies hiring the most customer insights analysts right now include Ryder System, Amazon, and Macy's, with the largest share of openings in New York, Texas, and California, based on current listings on Migrate Mate as of November 2026. Retail, financial services, and technology firms tend to post the highest volume of these roles year-round.
How many customer insights analyst jobs are remote?
About 79% of customer insights analyst openings are fully remote or hybrid as of November 2026, making it one of the more flexible analytical roles available. Sub-specializations focused on survey research, digital behavioral analytics, and syndicated data interpretation tend to have the highest concentration of fully remote postings.
How do you become a customer insights analyst?
Most customer insights analysts start with a degree in marketing, statistics, psychology, or business, then build proficiency in SQL and at least one visualization tool like Tableau or Power BI. From there, gaining experience with survey platforms, segmentation projects, or market research studies, whether through internships, contract work, or entry-level analyst roles, is the most direct path into the field.
Can you get a customer insights analyst job with little experience?
Yes, entry-level customer insights analyst roles exist and are regularly posted, especially at mid-size consumer brands and research agencies. The most competitive entry-level candidates can demonstrate hands-on work with real data, even from coursework, freelance projects, or internships, and can clearly explain how they translated a research finding into a recommendation someone acted on.
What does the customer insights analyst interview process look like?
The process typically starts with a recruiter screen, followed by a hiring manager conversation focused on your research experience and analytical approach. Most companies then include a take-home case study or live exercise where you analyze a dataset or design a research plan. Final rounds often involve presenting your findings to a cross-functional panel of stakeholders from marketing, product, or strategy.
Where can I find and apply to customer insights analyst jobs?
You can find and apply to customer insights analyst jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience, specialization, and preferred location, then apply directly to each one that fits.
See All 71 Customer Insights Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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