Leads, develops, and implements project(s) of varying complexity and size in assigned functional area. Partners with business stakeholders to ensure a successful project completion and organizational improved capability to data quality standards.
Key Responsibilities
Leads the quality and integrity of the data within the assigned functional area. Serves as an expert on data quality tools. Conducts data profiling for data. Develops Key Performance Indicators (KPIs) to measure data quality. Creates and executes action plans to resolve data quality issues. Maintains existing rules and develops recent rules to support a robust data quality process. Escalates issues and critical conflicts in a timely fashion. Identifies and mitigates data quality risks. Reports data quality risks and KPI measurement statistics to data governance council. Manages metadata and data standards to ensure adherence, working closely with IT. Coordinates activities of data stewards located within the business, working closely with the business process owner.
Supports business data analysis and proposal creation as a member of a data governance council. Guides the business to prepare data. Leads initial data exploration steps (binning, pivoting, summarizing and finding correlations, for example). Catalogues business attributes to enable data discovery. Coaches business to establish and enforce guidelines for data collection, integration and processes. Leads data and systems analysis as required to support data governance processes. Understands data governance roles and processes, and ensures that they are followed. Prepares and presents communications to leaders and stakeholders.
Competencies
Balances stakeholders - Anticipating and balancing the needs of multiple stakeholders.
Collaborates - Building partnerships and working collaboratively with others to meet shared objectives.
Communicates effectively - Developing and delivering multi-mode communications that convey a clear und
📌 Data Quality Analyst (Pune)
🏢 Cummins India
📍 Pune
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