Data Analytics Specialist Jobs
Data Analytics Specialist jobs are open across healthcare, finance, retail, and technology, at every level from junior analyst to senior specialist and lead, with specializations in business intelligence, predictive modeling, and data visualization. Find a role that fits from the openings below and apply directly.
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Showing 5 of 1,328+ Data Analytics Specialist jobs
- Advises the Product Solutions teams on solutioning and adopting new and existing client-facing products and capabilities while crafting complex solutions and assessing risk to enhance the customer experience
- Leverages extensive knowledge of a cluster of products and capabilities to manage the strategic development of end-to-end product solution strategies and processes
- Partners with Sales to advise on strategic pricing for deals, contributes to the development of sales training and collateral, and oversees Request for Proposal (RFP) responses
- Manages the collection of client feedback and oversees the delivery of feedback to Product teams
- Drives the development of strategy and roadmaps for data governance initiatives, including next-generation data governance tooling and AI-for-data capabilities
- Collaborates with stakeholders, subject matter experts, and engineers to understand use cases, requirements, and dependencies, critically assessing proposed solutions.
- Communicates complex ideas effectively to collaborators and senior leaders using precise terminology and relatable examples
- Balances timeliness with quality under tight deadlines, managing multiple priorities and cross-functional partnerships.
- Ensures end-to-end relevance to stakeholder needs, from gathering business requirements and working with technology teams to achieve successful delivery
- Defines and refines customer-centric solution approaches that connect data governance capabilities to measurable business outcomes.
- Partners with business, technology, and control stakeholders to deploy solutions into production effectively and responsibly
- 8+ years of experience or equivalent expertise leading and developing solutions across multiple teams and a cluster of products
- Extensive experience facilitating sales cycle activities and developing and optimizing strategies and processes
- Demonstrable experience structuring and handling complex solutions for business problems to meet clients' needs
- Understanding and hands-on experience building agentic AI systems within regulated or compliance-driven environments
- 8+ years of experience developing enterprise-wide data, data governance, or AI strategy for large, complex organizations.
- 8+ years of experience either as a product manager, product designer, engineer, data analyst, data scientist, or user researcher
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
- Curious, hardworking, and detail-oriented, and motivated by complex analytical problems.
- Ability to collaborate effectively with stakeholders, subject matter experts, and engineers to translate needs into clear requirements
- Ability to balance quality and speed under tight deadlines while managing multiple priorities and partnerships.
- Ability to drive end-to-end delivery—from business requirements through implementation—ensuring outcomes meet stakeholder needs
- Direct experience with MCP (Model Context Protocol) designing tool schemas, building MCP servers, managing tool surface exposure, or integrating MCP into an agent platform
- Experience in regulated industries (financial services, healthcare, or government) with practical exposure to model risk management, audit trails, and compliance-driven engineering constraints.
- Familiarity with agent security concerns: prompt injection, tool misuse, over-privileged tool access, and blast radius containment strategies
- Experience building evaluation frameworks for LLM-based systems, including production-grade evaluation pipelines with structured outputs and regression tracking.
- Exposure to cloud-native AI infrastructure (managed model endpoints, model gateways, token/cost observability, and multi-tenant serving considerations)
- Experience contributing to developer-facing SDK or platform tooling (designing APIs, writing effective documentation, iterating based on adoption signals).
- Familiarity with responsible AI practices as they apply to agents, including human oversight requirements, escalation paths, intervention hooks, and auditability standards
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
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
- Advises the Product Solutions teams on solutioning and adopting new and existing client-facing products and capabilities while crafting complex solutions and assessing risk to enhance the customer experience
- Leverages extensive knowledge of a cluster of products and capabilities to manage the strategic development of end-to-end product solution strategies and processes
- Partners with Sales to advise on strategic pricing for deals, contributes to the development of sales training and collateral, and oversees Request for Proposal (RFP) responses
- Manages the collection of client feedback and oversees the delivery of feedback to Product teams
- Drives the development of strategy and roadmaps for data governance initiatives, including next-generation data governance tooling and AI-for-data capabilities
- Collaborates with stakeholders, subject matter experts, and engineers to understand use cases, requirements, and dependencies, critically assessing proposed solutions.
- Communicates complex ideas effectively to collaborators and senior leaders using precise terminology and relatable examples
- Balances timeliness with quality under tight deadlines, managing multiple priorities and cross-functional partnerships.
- Ensures end-to-end relevance to stakeholder needs, from gathering business requirements and working with technology teams to achieve successful delivery
- Defines and refines customer-centric solution approaches that connect data governance capabilities to measurable business outcomes.
- Partners with business, technology, and control stakeholders to deploy solutions into production effectively and responsibly
- 8+ years of experience or equivalent expertise leading and developing solutions across multiple teams and a cluster of products
- Extensive experience facilitating sales cycle activities and developing and optimizing strategies and processes
- Demonstrable experience structuring and handling complex solutions for business problems to meet clients' needs
- Understanding and hands-on experience building agentic AI systems within regulated or compliance-driven environments
- 8+ years of experience developing enterprise-wide data, data governance, or AI strategy for large, complex organizations.
- 8+ years of experience either as a product manager, product designer, engineer, data analyst, data scientist, or user researcher
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
- Curious, hardworking, and detail-oriented, and motivated by complex analytical problems.
- Ability to collaborate effectively with stakeholders, subject matter experts, and engineers to translate needs into clear requirements
- Ability to balance quality and speed under tight deadlines while managing multiple priorities and partnerships.
- Ability to drive end-to-end delivery—from business requirements through implementation—ensuring outcomes meet stakeholder needs
- Direct experience with MCP (Model Context Protocol) designing tool schemas, building MCP servers, managing tool surface exposure, or integrating MCP into an agent platform
- Experience in regulated industries (financial services, healthcare, or government) with practical exposure to model risk management, audit trails, and compliance-driven engineering constraints.
- Familiarity with agent security concerns: prompt injection, tool misuse, over-privileged tool access, and blast radius containment strategies
- Experience building evaluation frameworks for LLM-based systems, including production-grade evaluation pipelines with structured outputs and regression tracking.
- Exposure to cloud-native AI infrastructure (managed model endpoints, model gateways, token/cost observability, and multi-tenant serving considerations)
- Experience contributing to developer-facing SDK or platform tooling (designing APIs, writing effective documentation, iterating based on adoption signals).
- Familiarity with responsible AI practices as they apply to agents, including human oversight requirements, escalation paths, intervention hooks, and auditability standards
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
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Data Analytics Specialist Jobs by Experience Level
Top Cities Hiring Data Analytics Specialists
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Find JobsData Analytics Specialist Job Market
Who's Hiring
- CoStar27
- Capital One24
- JPMorganChase23
- American Express20
- PNC Financial Services20
Top Industries Hiring
- Technology & Software19
- Insurance5
- Consulting & Professional Services5
- Energy4
- Retail3
What Employers Look For
The qualifications that appear most often in data analytics specialist jobs.
- Proficiency in SQL for querying and manipulating large relational databases
- Experience with data visualization tools such as Tableau, Power BI, or Looker
- Ability to write and execute data analysis scripts in Python or R
- Bachelor's degree in statistics, mathematics, computer science, or a related field
- Familiarity with cloud data platforms such as AWS Redshift, BigQuery, or Snowflake
- Strong communication skills for presenting findings to non-technical stakeholders
Tips for Your Data Analytics Specialist Job Search
Tailor your resume to each stack
Job listings for data analytics specialists often name specific tools like Tableau, Power BI, Python, or SQL. Mirror the exact tool names from each posting in your resume so your application clears automated screening before a recruiter ever reads it.
Build a portfolio with real datasets
Hiring managers for analytics roles want to see how you clean, transform, and interpret data. Publish two or three end-to-end projects using publicly available datasets on GitHub or a personal site, and link it directly in your application.
Apply early to roles that fit
Migrate Mate lists data analytics specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that name your domain
Analytics roles in healthcare require familiarity with EHR data and HIPAA considerations, while retail roles lean on demand forecasting. Filter openings by industry so your domain knowledge becomes a direct differentiator rather than a nice-to-have.
Prepare a case study for interviews
Many data analytics specialist interviews include a take-home assignment or live SQL challenge. Practice narrating your analytical process out loud, not just producing the answer, since interviewers assess how you frame the problem as much as your technical output.
Negotiate using market benchmarks
Before accepting an offer, look up wage data for your specific metro area and experience level through the Bureau of Labor Statistics and O*NET. Anchoring your counter to published data signals professional credibility and gives the conversation a neutral reference point.
Data Analytics Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most data analytics specialists?
The companies hiring the most data analytics specialists right now include CoStar, Capital One, and JPMorganChase, with the largest share of openings in California, New York, and Virginia, based on current listings on Migrate Mate as of September 2026. Demand is particularly high in healthcare systems, financial services firms, and large-scale retailers investing in customer data infrastructure.
How many data analytics specialist jobs are remote?
About 73% of data analytics specialist openings are fully remote or hybrid as of September 2026, reflecting the data-centric nature of the role. Positions focused on business intelligence reporting and dashboard development tend to be the most remote-eligible, while roles requiring close collaboration with operations or lab teams are more likely to be on-site.
How do you become a data analytics specialist?
Start by building a foundation in SQL, a programming language like Python or R, and at least one visualization tool such as Tableau or Power BI. Apply those skills to real datasets through personal projects or open-source contributions, then document your work in a portfolio. Many candidates also pursue a relevant degree or a recognized certification in data analytics to signal foundational competency to employers.
Can you get hired as a data analytics specialist with little experience?
Yes, entry-level data analytics specialist roles exist, but you need to compensate for limited work history with demonstrated output. Employers hiring junior candidates look for a portfolio of completed analyses, familiarity with core tools like SQL and Excel, and any internship or freelance project that shows you can translate raw data into a clear business recommendation.
What does the data analytics specialist interview process look like?
Most interview processes include an initial recruiter screen, a technical assessment covering SQL queries and data manipulation, and a final round with the hiring team. The technical stage often includes a take-home case study or a live coding exercise. Final-round conversations typically ask you to walk through past analytical projects and explain how your findings influenced a business decision.
Where can I find and apply to data analytics specialist jobs?
You can find and apply to data analytics specialist 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 1,328+ Data Analytics Specialist Jobs
Find roles that match your experience and apply in just a few clicks.
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