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Data Operations - Associate

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 11 days ago

No clicks

**Data Operations Associate** Clean and validate vast datasets, spot anomalies, and maintain data quality rules. Coordinate with teams to purge data, track approvals, and document lineage. Produce dashboards and reports to track data trends and key risks. Collaborate cross-functionally to improve data processes. Requires 3+ years of experience in data-driven problem-solving, experience with business intelligence tools, SQL, and familiarity with Microsoft Office. Demonstrate structured execution and control orientation.

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Full Job Description

Location: Bengaluru, Karnataka, India

Build your career as you dive into the depths of data and find new ways to unlock pathways to transformative solutions. Be part of an innovative team to sculpt dashboards that inform strategic priorities.

As a Data Operations Associate within Consumer and Community Banking People Experience and Technology, you conduct intermediate-level analysis to uncover patterns that promote new questions and solutions through effective data collection, integrity management, utilization, requirements gathering, and analysis. You apply your technical expertise and problem-solving methodologies across multiple applications of moderate scope, and you leverage your advanced technical skills to support the design and development of metrics, reporting, and dashboards that enable management to execute strategic objectives while ensuring adherence to all relevant controls, policies, and procedures.

Job responsibilities
  • Perform large-scale data cleaning (deduplication, standardization, normalization) and validate data integrity across multiple sources.
  • Execute recurring data quality checks; identify anomalies, outliers, missing fields, and conflicting values.
  • Build and maintain data quality rules, checklists, and test scripts (e.g., SQL-based validations).
  • Support controlled data purging activities (e.g., identification of in-scope records, pre/post purge validations, reconciliation).
  • Assist with documenting purge logic, evidence capture, and reporting to demonstrate completeness and accuracy of actions taken.
  • Coordinate with data owners, technology partners, and governance/control teams to track approvals, timelines, and dependencies.
  • Maintain clear documentation: data dictionaries, lineage notes, quality findings, and operational runbooks.
  • Log, triage, and track data issues; support root-cause analysis and remediation plans with stakeholders.
  • Contribute to control routines (metrics, attestations, evidence packs) and help improve processes to reduce recurring issues.
  • Produce dashboards or recurring reporting on data quality trends, purge status, and key risk indicators (KRIs) or metrics.
  • Communicate findings concisely to both technical and non-technical partners; escalate risks and blockers appropriately. 

    Identify opportunities to automate manual checks.

     

Required qualifications, capabilities, and skills
  • 3+ years of experience delivering data-driven problem solving or equivalent experience
  • Proven ability to gather and analyze complex data and to support the development of accurate conclusions 
  • Experience building graphical visualizations and programming of dashboards using business intelligence tools
  • Experience using at least one data technology tool and understanding relational database systems 
  • Intermediate Microsoft Office suite experience.

     

     

    Core Skills (What success looks like)

  • Data accuracy mindset: verifies results, reconciles totals, and spot-checks outputs.
  • Structured execution: can run repeatable processes and improve them over time.
  • Control orientation: understands the importance of approvals, evidence, and traceability.
  • Analytical curiosity: asks why behind data issues and supports root-cause identification.
  • Collaboration: effective partnering across product, analytics, and technology teams.
Preferred qualifications, capabilities, and skills
  • Bachelors degree
Analyze data, design dashboards, utilize automation tools, visualize data, and uphold controls in project contributions

Data Operations - Associate

Compensation

Not specified

City: Bengaluru

Country: India

J.P. Morgan logo
Bulge Bracket Investment Banks

11 days ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

**Data Operations Associate** Clean and validate vast datasets, spot anomalies, and maintain data quality rules. Coordinate with teams to purge data, track approvals, and document lineage. Produce dashboards and reports to track data trends and key risks. Collaborate cross-functionally to improve data processes. Requires 3+ years of experience in data-driven problem-solving, experience with business intelligence tools, SQL, and familiarity with Microsoft Office. Demonstrate structured execution and control orientation.

Full Job Description

Location: Bengaluru, Karnataka, India

Build your career as you dive into the depths of data and find new ways to unlock pathways to transformative solutions. Be part of an innovative team to sculpt dashboards that inform strategic priorities.

As a Data Operations Associate within Consumer and Community Banking People Experience and Technology, you conduct intermediate-level analysis to uncover patterns that promote new questions and solutions through effective data collection, integrity management, utilization, requirements gathering, and analysis. You apply your technical expertise and problem-solving methodologies across multiple applications of moderate scope, and you leverage your advanced technical skills to support the design and development of metrics, reporting, and dashboards that enable management to execute strategic objectives while ensuring adherence to all relevant controls, policies, and procedures.

Job responsibilities
  • Perform large-scale data cleaning (deduplication, standardization, normalization) and validate data integrity across multiple sources.
  • Execute recurring data quality checks; identify anomalies, outliers, missing fields, and conflicting values.
  • Build and maintain data quality rules, checklists, and test scripts (e.g., SQL-based validations).
  • Support controlled data purging activities (e.g., identification of in-scope records, pre/post purge validations, reconciliation).
  • Assist with documenting purge logic, evidence capture, and reporting to demonstrate completeness and accuracy of actions taken.
  • Coordinate with data owners, technology partners, and governance/control teams to track approvals, timelines, and dependencies.
  • Maintain clear documentation: data dictionaries, lineage notes, quality findings, and operational runbooks.
  • Log, triage, and track data issues; support root-cause analysis and remediation plans with stakeholders.
  • Contribute to control routines (metrics, attestations, evidence packs) and help improve processes to reduce recurring issues.
  • Produce dashboards or recurring reporting on data quality trends, purge status, and key risk indicators (KRIs) or metrics.
  • Communicate findings concisely to both technical and non-technical partners; escalate risks and blockers appropriately. 

    Identify opportunities to automate manual checks.

     

Required qualifications, capabilities, and skills
  • 3+ years of experience delivering data-driven problem solving or equivalent experience
  • Proven ability to gather and analyze complex data and to support the development of accurate conclusions 
  • Experience building graphical visualizations and programming of dashboards using business intelligence tools
  • Experience using at least one data technology tool and understanding relational database systems 
  • Intermediate Microsoft Office suite experience.

     

     

    Core Skills (What success looks like)

  • Data accuracy mindset: verifies results, reconciles totals, and spot-checks outputs.
  • Structured execution: can run repeatable processes and improve them over time.
  • Control orientation: understands the importance of approvals, evidence, and traceability.
  • Analytical curiosity: asks why behind data issues and supports root-cause identification.
  • Collaboration: effective partnering across product, analytics, and technology teams.
Preferred qualifications, capabilities, and skills
  • Bachelors degree
Analyze data, design dashboards, utilize automation tools, visualize data, and uphold controls in project contributions