Chief Data Office - Data Quality - Business Analytics Associate
Data Science, Quality Assurance
Mumbai, Maharashtra, India
Job Description — Senior Associate, Business Analytics (Chief Data Office, CIB)
Role Summary
The Chief Data Office (CDO) within the JPMorganChase Commercial & Investment Bank (CIB) is seeking a Senior Associate to support high-priority CIB initiatives focused on increasing quality of Sales’ data for the Markets business. This role is project-driven (little fixed BAU), requires strong analytical problem-solving, and will partner closely with business, product, and technology stakeholders to identify data quality issues, size impact, and drive resolution paths from discovery through remediation.
Key Responsibilities
- Deliver analytics for high-priority CIB programs, per the Sales CDO’s strategy, with a focus on improving the quality and usability of data used by Markets Sales.
- Perform data quality assessments (profiling, anomaly detection, reconciliation, completeness/accuracy/timeliness checks) and quantify business impact.
- Lead issue triage and resolution planning: document findings, identify root causes, propose remediation options, and define/track resolution paths with owners.
- Build and maintain repeatable workflows for data preparation and analysis.
- Develop dashboards and reporting to monitor data quality metrics, remediation progress, and key outcomes for senior stakeholders.
- Partner cross-functionally with CIB stakeholders (product teams, data owners, tech teams, control/operational partners as applicable) to align on definitions, requirements, and prioritization.
- Improve documentation and controls: data dictionaries, business rules, issue logs, and operational runbooks for project deliverables.
Required Qualifications
- Bachelor’s degree or equivalent practical experience.
- Strong experience in business analytics / data analytics roles (typically 5+ years, or equivalent depth).
- Hands-on capability with:
- Alteryx (automating analytics workflows, data blending, validation)
- Dashboarding (e.g., Tableau, Power BI, or similar—building stakeholder-ready views and KPIs)
- SQL / Python (data extraction, cleaning, analysis, automation; ability to productionize analytics where appropriate)
- AI-enabled improvement experience demonstrated ability to apply AI/ML and generative AI techniques to reduce manual effort, accelerate data analysis, and improve decision making
- Demonstrated ability to work in ambiguous, project-based environments with shifting priorities and tight timelines.
- Strong stakeholder management and communication skills, including writing clear issue narratives and presenting insights to non-technical audiences.
- Proven experience identifying data quality issues and driving structured remediation with accountable owners.
Preferred / Nice-to-Have
- Experience with data quality tooling (e.g., Informatica, Collibra or similar DQ/profiling platforms).
- Familiarity with data governance concepts (critical data elements, lineage, controls, metadata, stewardship).
- Experience working with Client/Sales/CRM-type datasets (contacts, coverage, relationship hierarchies, Core Reference data) and associated quality challenges.
- Comfort working across large enterprise data ecosystems and collaborating with data and engineering teams.
Competencies
- Analytical rigor and curiosity; strong hypothesis-driven problem solving
- Strong attention to detail; comfort with imperfect data
- Ability to translate business problems into data tests and measurable metrics
- Self-starter, able to work autonomously, with strong time management skills; efficient at multi-tasking and able to work under pressure to deliver multiple business demands on-time, to a high standard
- Excellent communication, presentation (both oral and written) & influencing skills - candidate will be dealing with stakeholders of varying degrees of seniority
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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.
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.
The Chief Data Office (CDO) within the JPMorganChase Commercial & Investment Bank (CIB) is seeking a Senior Associate to support high-priority CIB initiatives focused on increasing quality of Sales’ data for the Markets business. This role is project-driven (little fixed BAU), requires strong analytical problem-solving, and will partner closely with business, product, and technology stakeholders to identify data quality issues, size impact, and drive resolution paths from discovery through remediation.