Leads enterprise data quality and integrity audits across master, transactional, and reference data. Analyzes audit results, identifies risks and root causes, develops metrics and dashboards, communicates findings to stakeholders, tracks remediation, and supports data governance policies and controls. Requires SQL and BigQuery experience, strong analytical abilities, and expertise in data governance, data quality management, enterprise data ecosystems, and stakeholder communication.
It's fun to work in a company where people truly BELIEVE in what they're doing!
Job Description:
Position Summary
We are seeking a detail-oriented Data Governance Analyst to lead data quality and data integrity auditing activities across the enterprise. This role will be responsible for designing, executing, maintaining, and continuously improving data quality audits to ensure critical data assets remain accurate, complete, consistent, and compliant with established governance standards.
The ideal candidate will have a strong understanding of master data, transactional data, reference data, and enterprise data ecosystems, along with the analytical skills required to identify trends, uncover risks, and communicate actionable insights to business stakeholders and data stewards.
Key Responsibilities
- Own, execute, and maintain enterprise data quality and data integrity audits across key data domains.
- Partner with Data Governance Leads and business stakeholders to identify data risks, define controls, and enhance audit methodologies.
- Continuously refine audit rules, thresholds, and monitoring criteria based on evolving business requirements and governance standards.
- Analyze audit results to identify trends, root causes, and emerging data quality risks.
- Develop meaningful metrics, scorecards, dashboards, and executive summaries to communicate findings.
- Present insights and recommendations to data stewards, data owners, and governance forums.
- Track remediation efforts and validate resolution of identified data quality issues.
- Support the implementation of data governance policies, standards, and controls.
- Collaborate with business and technology teams to improve data quality processes and prevent recurring issues.
Qualifications
- Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science, or a related field.
- 3-6 years of experience in Data Governance, Data Quality, Data Analytics, Master Data Management, or related disciplines.
- Strong understanding of:
- Master Data
- Transactional Data
- Reference Data
- Data Quality Management
- Data Governance principles and controls
- Knowledge of distribution business processes and the challenges associated with multi-system data environments.
- Understanding of Single Source of Truth (SSOT) concepts and enterprise data lifecycle management.
- Experience using BigQuery or similar data platforms and querying tools (SQL required).
- Strong analytical and problem-solving skills with the ability to interpret large datasets and identify meaningful insights.
- Experience creating reports, dashboards, and presentations for business stakeholders.
- Excellent communication and stakeholder management skills.
Preferred Attributes
- Strong attention to detail and investigative mindset.
- Ability to translate complex data findings into clear business recommendations.
- Comfortable working across business and technology teams.
- Passion for data quality, governance, and continuous process improvement.
Ingram Micro Mumbai, Maharashtra, IND Office
Empire Plaza, Building A, 5th Floor, , , Mumbai, Maharashtra , India
Similar Jobs
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Lead consulting engagements that translate business requirements into technical solutions. Design and deliver data platforms, ETL pipelines, analytics solutions, architectures, prototypes, testing, deployment, and operations plans using Databricks, Snowflake, Python, PySpark, SQL, and AWS. Manage project teams, distribute tasks, mentor junior staff, communicate with clients, support project planning and risk mitigation, and ensure high-quality delivery across global teams.
Top Skills:
SparkAWSDatabricksETLGitPysparkPythonSnowflakeSQL
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Build and deliver client technology solutions using ETL platforms, SQL, data warehousing, programming, and cloud technologies. Own assigned activities across project lifecycles, apply Agile or Waterfall methodologies, support requirements, architecture, prototyping, testing, and operations, and assist with project management. Collaborate with global teams and clients while applying creative, analytical, and consulting-oriented problem solving.
Top Skills:
AWSETLGoogle Cloud PlatformInformaticaAzureSQLSsisTalend
Artificial Intelligence • Healthtech • Professional Services • Analytics • Consulting
Lead enterprise data and AI architecture for global clients, defining cloud-native target architectures, modernization roadmaps, governance frameworks, and GenAI solutions across AWS, Azure, and GCP. Advise executives, guide global engineering teams, oversee technical governance, support proposals and thought leadership, and build reusable architecture assets and centers of excellence.
Top Skills:
Agentic AiAWSAzureC4Data EngineeringDevOpsGCPGenerative AiMcpMicroservicesRetrieval-Augmented Generation (Rag)Rup 4+1TogafUml
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.
