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2 Days ago

Senior Data Analyst

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Pune, Maharashtra, India
Information Technology
Full-Time
Eaton

Overview

What You’ll Do

Job Summary: We are seeking a dedicated and detail-oriented Data Steward to join our Data Governance team. The Data Steward will play a critical role in managing and ensuring the quality and integrity of the finance data assets in compliance with data governance (DG) policies. This position involves working closely with functional stakeholders, data owners, and IT (data custodians) to define, implement, and monitor data quality standards to maintain data accuracy and consistency.

Key Responsibilities

  • Data Governance Policy Implementation
  • Collaborate with stakeholders, data owners, and users to understand data quality requirements and ensure compliance with data governance policies.
  • Support the implementation and enforcement of data governance procedures and standards
  • Work with DGO & Cross Domain DG teams to ensure data standardization and consistency across the organization
  • Rollout & enforce Finance specific policies
  • Data Governance Playbook Deployment:
  • Work with data owners and subject matter experts (SMEs) to identify critical data elements (CDEs) and define data quality (DQ) rules to ensure data accuracy, completeness, consistency, and timeliness.
  • Collaborate with stakeholders to determine and operationalize data quality metrics and performance standards
  • Data Quality Dashboard Implementation:
  • Partner with IT (IDM) to implement a data governance monitoring dashboard
  • Monitor the data quality dashboard and collaborate with data owners, custodians, and other stewards to identify quality issues, perform root cause analysis and apply applicable resolutions
  • Proactively identify and address risks and vulnerabilities related to data security and compliance
  • Develop and maintain process and technical documentation to support proactive data governance initiatives.
  • Data Lifecycle Management:
  • Oversee the data lifecycle, from creation to archival or deletion, ensuring proper management and compliance. This also includes monitoring domain data usage and identifying opportunities for improved data utilization
  • Data Problem Solving: Identifying and resolving data quality issues, contributing to improvements in data and insight delivery processes.
  • Data Curation and Catalog Update: Curate data and update catalogs and dictionaries for improved discovery and access.
  • Training and Support: Provide training, education, and support to data owners and users on data governance practices. Promote a culture of data stewardship and governance across the organization.


Qualifications

  • Bachelor’s degree in information management, computer science, data science, or a related field.
  • A minimum of 7 years proven experience in data governance, data management, or a related role.


Skills

  • Demonstrated project experience designing and implementing data quality management and data stewardship initiatives
  • Strong understanding of data management concepts and database systems
  • Experience in accounting, finance as well as financial management ERPs such as Oracle and SAP
  • Strong understanding of data governance principles, and data quality principles policies, and best practices.
  • Excellent communication and collaboration skills to work effectively with stakeholders, data owners, and users.
  • Proficiency in data quality tools and data cataloging systems.
  • Ability to analyze and resolve data quality issues and implement effective solutions.
  • Strong organizational skills and attention to detail.
  • Proficiency in data profiling and data analysis techniques using tools like SQL, Excel, or data profiling software
  • Familiarity with metadata management and data dictionary tools such as Alation
  • Excellent analytical and problem-solving skills to identify and resolve data quality issues
  • Ability to effectively and persuasively communicate technical standards, practices, and initiatives to drive data governance throughout the organization
  • Familiarity with data-related technologies and tools such as ETL, data warehouses, and data lakes
  • Knowledge of data visualization and reporting tools such as Tableau, Power BI, and Looker
  • Data analysis and manipulation skills through data science languages/tools such as Python, R, JavaScript Familiarity with data lifecycle management and data curation practices.
  • Certification in data management or related areas (e.g., CDMP, DM-BOK, etc.) is a plus.


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