Data Management Analyst Jobs
Data Management Analyst jobs are open across healthcare, finance, government, retail, and technology, from entry-level to senior and lead, with specializations in data governance, data quality, and master data management. Find a role that fits from the openings below and apply directly.
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As a Lead Solutions Analyst in Corporate Technology - Employee Platforms, you will play a central role in driving the success of our technical program delivery. Your deep understanding of applications, platforms, and products will position you as a key bridge between product owners, business, operations, and software developers. Utilizing advanced analytical reasoning and technical fluency, you will translate complex business requirements into well-structured and technically feasible solutions. You will make data-informed decisions and provide strategic insights to support key business initiatives. As a technical subject matter expert, you'll navigate ambiguity, manage change effectively, and communicate compellingly with diverse stakeholder audiences to ensure the highest quality and professionalism in service delivery.
Job responsibilities
- Lead the elicitation, documentation, and validation of business and data flow requirements, ensuring alignment with stakeholder expectations and technical feasibility
- Uses enterprise-authorized AI capabilities within the work environment to accelerate requirements synthesis and solution optioning, validating outputs and handling data according to sensitivity and security requirements.
- Model the design and implementation of technical solutions, ensuring seamless integration with existing systems and infrastructure
- Utilize advanced data analytics techniques to extract insights from large, diverse datasets, driving data-informed decision-making and supporting key business initiatives
- Develop and maintain comprehensive knowledge of industry trends, emerging technologies, and best practices and apply technical fluency in relevant platforms and approved tools to provide strategic guidance and innovative solutions for complex projects
- Mentor and guide team members in technical writing and analytical reasoning, fostering continuous learning and reuse-first practices for analysis and documentation
- Promotes reuse-first, AI-assisted practices for analysis and documentation across the team, ensuring human review and alignment to delivery standards.
- 5+ years of experience or equivalent expertise in solutions analysis, technical program delivery, or a related field
- Strong product management experience, in data management or telemetry.
- Strong knowledge of Splunk, telemetry solutions, and data movement technologies.
- Excellent customer management and communication skills.
- Experience with agile methodologies and product development processes.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support solutions analysis workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted analyses and recommendations before use, escalating when uncertain and following data handling expectations.
- Advanced knowledge of data analytics techniques, with experience in developing and interpreting models, diagrams, and data-driven insights, including data visualization using approved tools
- Strong track record of leading through change, navigating ambiguous situations, and managing dependencies in complex projects
- Advanced expertise in Splunk and telemetry tools.
- Experience in financial services or large enterprise environments
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 Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where you—and the products you deliver—will thrive.
As a Lead Solutions Analyst in Corporate Technology - Employee Platforms, you will play a central role in driving the success of our technical program delivery. Your deep understanding of applications, platforms, and products will position you as a key bridge between product owners, business, operations, and software developers. Utilizing advanced analytical reasoning and technical fluency, you will translate complex business requirements into well-structured and technically feasible solutions. You will make data-informed decisions and provide strategic insights to support key business initiatives. As a technical subject matter expert, you'll navigate ambiguity, manage change effectively, and communicate compellingly with diverse stakeholder audiences to ensure the highest quality and professionalism in service delivery.
Job responsibilities
- Lead the elicitation, documentation, and validation of business and data flow requirements, ensuring alignment with stakeholder expectations and technical feasibility
- Uses enterprise-authorized AI capabilities within the work environment to accelerate requirements synthesis and solution optioning, validating outputs and handling data according to sensitivity and security requirements.
- Model the design and implementation of technical solutions, ensuring seamless integration with existing systems and infrastructure
- Utilize advanced data analytics techniques to extract insights from large, diverse datasets, driving data-informed decision-making and supporting key business initiatives
- Develop and maintain comprehensive knowledge of industry trends, emerging technologies, and best practices and apply technical fluency in relevant platforms and approved tools to provide strategic guidance and innovative solutions for complex projects
- Mentor and guide team members in technical writing and analytical reasoning, fostering continuous learning and reuse-first practices for analysis and documentation
- Promotes reuse-first, AI-assisted practices for analysis and documentation across the team, ensuring human review and alignment to delivery standards.
- 5+ years of experience or equivalent expertise in solutions analysis, technical program delivery, or a related field
- Strong product management experience, in data management or telemetry.
- Strong knowledge of Splunk, telemetry solutions, and data movement technologies.
- Excellent customer management and communication skills.
- Experience with agile methodologies and product development processes.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support solutions analysis workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted analyses and recommendations before use, escalating when uncertain and following data handling expectations.
- Advanced knowledge of data analytics techniques, with experience in developing and interpreting models, diagrams, and data-driven insights, including data visualization using approved tools
- Strong track record of leading through change, navigating ambiguous situations, and managing dependencies in complex projects
- Advanced expertise in Splunk and telemetry tools.
- Experience in financial services or large enterprise environments
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 Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where you—and the products you deliver—will thrive.
Data Management Analyst Jobs by Experience Level
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Find Data Management Analyst JobsData Management Analyst Job Market
Who's Hiring
Top Industries Hiring
- Education
- Consulting & Professional Services
- Food & Beverage
- Agriculture & Farming
- Electronics & Hardware
What Employers Look For
The qualifications that appear most often in data management analyst jobs.
- Proficiency in SQL for querying, transforming, and validating large datasets across relational databases
- Experience with data governance frameworks and master data management principles and tools
- Familiarity with ETL processes and data pipeline tools such as Informatica, Talend, or similar platforms
- Bachelor's degree in information systems, computer science, statistics, or a related field
- Ability to document data dictionaries, data lineage, and metadata standards for business and technical audiences
- Certifications such as CDMP or experience with data quality tools like Collibra or Ataccama
Tips for Your Data Management Analyst Job Search
Tailor your resume to governance frameworks
Hiring managers for data management analyst roles scan for specific frameworks like DAMA-DMBOK and tools like Collibra or Informatica. Name the frameworks you've worked within and the data domains you've governed, not just generic database experience.
Highlight data quality metrics you owned
Employers want proof you've improved data integrity, not just maintained it. Quantify the scope of records you managed, the error rates you reduced, or the pipeline exceptions you resolved. Vague claims about data cleanup don't stand out.
Filter openings by the stack you know
Data management analyst postings vary widely by tool set, from SQL and Python to enterprise MDM platforms. Target openings that list tools you've used in production. Applying to roles built around unfamiliar platforms wastes time for both sides.
Apply early to roles that fit
Migrate Mate lists data management analyst openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare to walk through a data audit scenario
Interviewers frequently ask you to diagnose a messy dataset live or describe how you'd audit a data pipeline end to end. Practice narrating your diagnostic process out loud, not just knowing the answer, because interviewers are evaluating your methodology.
Negotiate using data stewardship scope
When an offer comes in, anchor your negotiation to the scale of data domains you'll own, the number of upstream systems you'll integrate, and whether you're also expected to build governance policy from scratch. Broader scope justifies a higher band.
Data Management Analyst Jobs: Frequently Asked Questions
Which companies are hiring the most data management analysts?
The companies hiring the most data management analysts right now include Northrop Grumman, Guidehouse, and Blue Origin, with the largest share of openings in Virginia, New York, and California, based on current listings on Migrate Mate as of November 2026. Healthcare systems, financial institutions, and large federal contractors tend to post the most consistently throughout the year.
How many data management analyst jobs are remote?
About 61% of data management analyst openings are fully remote or hybrid as of November 2026, with remote options most common in data governance, metadata management, and data quality roles that don't require on-site access to proprietary systems or physical data centers. Roles tied to regulated industries like defense or healthcare tend to be more on-site.
How do you become a data management analyst?
Start with a foundation in SQL and relational database concepts, then build hands-on experience through coursework or projects involving data cleaning, transformation, and documentation. Learn a governance framework like DAMA-DMBOK and get exposure to at least one enterprise MDM or data quality tool. Entry-level roles in data operations or business intelligence often serve as a direct path into data management analyst positions.
Can you get a data management analyst job with little or no experience?
Yes, entry-level data management analyst roles exist and typically look for candidates who can demonstrate SQL proficiency, attention to data quality, and an understanding of data lifecycle concepts. Building a portfolio of personal or academic projects that show data cleaning, validation, or documentation work helps close the experience gap. Internships in data operations or analytics are also a reliable entry point.
What does the data management analyst interview process look like?
The process typically starts with a recruiter screening call, followed by a technical round where you may be asked to write SQL queries, walk through a data audit scenario, or explain how you'd design a data quality rule. A final round often involves a case study or a conversation with a hiring manager focused on how you've handled data integrity issues, stakeholder communication, and governance documentation in practice.
Where can I find and apply to data management analyst jobs?
You can find and apply to data management analyst jobs on Migrate Mate, which lists current openings from across the United States. Find roles that match your experience and tools, then apply directly to each listing. New openings are added regularly, so checking back frequently gives you the best chance of catching roles before they fill.
See All 92 Data Management Analyst Jobs
Find roles that match your experience and apply in just a few clicks.
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