Analytics - Data

Medix

$90K — $120K *
US-AnywhereRemote in Oregon, US
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data management or data governance roles
  • Expertise in Oracle HCM and PeopleSoft data systems
  • Proficiency with cloud platforms like Azure Data Lake and Power BI
  • Strong understanding of data warehousing concepts, particularly in Azure
  • Experience with ETL processes using SQL Server, DataBricks, and Azure
  • Knowledge of data governance frameworks, metadata management, and data quality standards
  • Experience in implementing data governance capabilities organization-wide

Responsibilities

  • Implement and enforce enterprise data governance policies and standards
  • Own technical data decisions for the Business Data Owner
  • Build and maintain a data catalog with metadata and business glossary
  • Drive root cause analysis for data quality issues and coordinate resolutions
  • Partner with Information Security to implement data access controls and protections
  • Collaborate with stakeholders to translate business needs into technical solutions
  • Monitor compliance with technical data standards across the organization

Benefits

  • Collaborative work environment with cross-functional teams
  • Opportunity to work with cutting-edge cloud technologies
  • Focus on data integrity and quality management
  • Engagement in strategic HR initiatives through data governance
  • Professional development and skill enhancement opportunities
Full Job Description
Job Description - add details here

The Technical Data Steward is responsible for the technical data management, governance, integrity and quality of Human Resources data assets for the HR Data Warehouse (Azure) and its platforms. This role ensures that data is properly defined, secured, governed, and usable across systems by partnering with HR business stewards, HR Data Analytics team, engineering teams, and stakeholders.

Basic Description

Provide technical data stewardship support to the HR Data Analytics team in managing, governing, and optimizing HR data assets. This role ensures data is accurate, secure, and aligned with enterprise data governance standards to support analytics, reporting, and strategic initiatives.

Responsibilities
1. Data Governance & Standards
Implement and enforce enterprise data governance policies, standards, and procedures
Ensure execution of governance workstreams, including:
o Metadata management
o Enterprise quality controls
o AI ready metadata
o Data quality
o Data lifecycle management
o Policies and standards compliance
Monitor adherence to technical data standards and drive compliance across the business area

2. Data Management & Technical Oversight
Own technical data decisions on behalf of the Business Data Owner
Provide subject matter expertise on:
o Source systems
o Data stores and warehouses
o ETL processes and pipelines
o Business intelligence tools
Ensure proper implementation of data across systems and platforms

3. Metadata, Lineage & Cataloging
Build and maintain a data catalog, including metadata and business glossary
Ensure data definitions, rules, and standards are clearly documented and consistently applied
Capture and maintain data lineage (end-to-end technical flows)

4. Data Quality & Issue Resolution
Drive root cause analysis of data quality issues and coordinate resolution with Enterprise data and HR Analytics teams
Assist in design and implementation data quality audits, controls, and monitoring tools
Plan and lead data cleansing and remediation initiatives

5. Security & Risk Management
Partner with Information Security, HR Data Governance and HR Data teams to implement controls such as:
o Role-based access (RBAC)
o Persona based access
o Row level access
o Encryption and data protection standards
Ensure data confidentiality, integrity, and availability across platforms

6. Stakeholder Collaboration
Partner with:
o Business Data Stewards
o Data Owners
o Data Engineering / IT teams
Translate business requirements into technical data solutions
Communicate impacts of data decisions across stakeholder groups

Qualifications and Skill Requirements

Ability to work seamlessly and professionally across multiple business units and with all levels of the organization
Oracle HCM / PeopleSoft data experience
Cloud data platforms (Azure Data Lake, Power BI)
Data warehousing concepts (Azure)
Data integration / ETL processes (SQL Server, DataBricks, Azure)
Data quality and data lifecycle management
Enterprise platforms (e.g., data catalogs, BI tools, integration tools)
Data governance frameworks and best practices
Metadata management, lineage, and cataloging
Master data management (MDM)
Experience implementing data governance capabilities across an organization

Desired Skills

Strong analytical and problem-solving skills
Ability to translate complex technical concepts for non-technical stakeholders
Attention to detail and commitment to data accuracy
Effective cross-functional communication and collaboration
Oracle HCM / PeopleSoft data experience
Cloud data platforms (Azure Data Lake, Power BI)
Regulatory and HR reporting alignment

Skills and Requirements - add details here

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