Data Steward

McKesson•Irving, TX

1d•$92,200 - $153,600•Hybrid

About The Position

The Data Steward supports data quality, data lineage, and governance activities by maintaining lineage documentation, gathering information from stakeholders, and contributing to data quality and governance initiatives. This role is responsible for identifying, capturing, analyzing, and managing data to support McKesson’s data-driven decision-making, planning, and operational processes. The analyst supports information governance efforts by helping determine how data can be used to answer business questions, solve problems, and improve decision-making. This includes conducting data analysis, contributing to the conceptualization and modeling of information, and presenting insights that enable key business decisions and processes. The position involves manipulating and analyzing data to uncover trends, patterns, and insights; developing dashboards and views; and supporting the creation of actionable insights that drive measurable business impact. The ideal candidate is organized, detail-oriented, eager to learn, collaborative, and committed to producing high-quality work in a team-oriented environment.

Requirements

Degree or equivalent and typically requires 4+ years of relevant experience.
Bachelor’s degree or equivalent combination of education and experience.
Typically requires 4+ years of relevant professional experience as an Analyst or equivalent, or relevant industry work experience.
Experience in data analysis, data quality, and problem solving for structured datasets.
Foundational knowledge of data governance and stewardship.
Operates independently on well-defined tasks and supports analytical approaches within project teams for moderate complexity initiatives.
Knowledge of data lifecycle and ability to apply basic database design principles.
Adept in data governance principles and data stewardship practices, with exposure to data integration and migration activities for structured datasets.
Knowledge of data quality dimensions and automation along with metadata management practices for maintaining data dictionaries and mappings.
Skilled in data quality management using standard validation techniques.
Ability to profile and manipulate data to support reporting accuracy and trend identification.
Competence in Business Function Knowledge, Customer & Business Driven, Problem Solving, Building Relationships, Adaptability, Digital Acumen, and Creativity.
Clear written and verbal communication tailored to both business and technical audiences.

Responsibilities

Collaborate with business stakeholders and technical teams to gather, document, and support data governance, reporting, analytics, and data quality requirements.
Support the discovery, cataloging, and documentation of enterprise data assets by maintaining data catalogs, metadata repositories, business glossaries, and related governance artifacts.
Perform data profiling and analysis of internal and external data sources to assess data structure, completeness, accuracy, consistency, and quality, identifying trends, anomalies, and potential issues.
Assist in documenting business definitions, data standards, business rules, and data stewardship requirements to support data governance initiatives and domain onboarding activities.
Develop and maintain source-to-target mapping documentation, data transformation requirements, and data lineage artifacts in partnership with business and technical teams.
Execute data quality assessments, data validation activities, and routine monitoring to ensure data integrity, accuracy, completeness, and consistency across critical business data assets.
Investigate and analyze data quality issues, perform root cause analysis, document findings, and support remediation efforts in collaboration with business and technology partners.
Maintain metadata, data lineage, and documentation to improve data transparency, traceability, discoverability, and usability across the organization.
Support the development and enhancement of reports, dashboards, visualizations, and analytical solutions by transforming data into actionable business insights.
Conduct exploratory data analysis using techniques such as data aggregation, pivoting, trend analysis, and data quality profiling to support reporting and business decision-making.
Deliver ad hoc reporting, data analysis, and data stewardship support while ensuring outputs are accurate, timely, and aligned with business requirements.
Support the implementation and adoption of established data governance policies, standards, controls, and best practices that promote data quality, compliance, and effective data management.
Prepare and communicate data quality findings, analytical results, and governance-related insights through clear documentation, reports, and presentations for business and technical audiences.