Remote Data Analyst 2 — Insights & Data Governance

TalentAlly

Salem (OR)

Remote

USD 70,000 - 95,000

Full time

47 hours ago
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Job summary

The Oregon Lottery is seeking a Data Analyst 2 to join the IT Governance team in a remote role. You will analyze data to support business decisions, act as a liaison between stakeholders and technical teams, and manage data requirements and reporting.

Proficiency with SQL, Azure Synapse Analytics, and Power BI is essential to own data metadata and champion quality. You will gather requirements, prioritize the data product backlog, coordinate testing, and drive improvements in data quality and

Qualifications

  • Bachelor's degree required; 3 years of experience in business systems, data analysis, or related processes; or 6 years of progressive experience.
  • Proven ability to analyze data to drive business decisions and improvements.
  • Experience coordinating with stakeholders and translating requirements into technical specs.
  • Knowledge of data governance and data quality practices.

Responsibilities

  • Analyze information and business processes to identify gaps and produce actionable insights.
  • Serve as liaison between business stakeholders and technical teams to define data and reporting needs.
  • Manage data product backlog and coordinate testing and release activities.
  • Develop and maintain data metadata, data models, and reporting solutions (SQL, Power BI, Synapse).
  • Support UAT and ensure solutions meet data and business requirements prior to implementation.

Skills

SQL
Data analysis
Data governance
Stakeholder liaison
Power BI
Azure Synapse Analytics

Education

Bachelor's degree

Tools

Power BI
Azure Synapse Analytics

Job description

The Oregon Lottery is seeking a Data Analyst 2 to join the IT Governance team in a remote role. You will analyze data to support business decisions, act as a liaison between stakeholders and technical teams, and manage data requirements and reporting.

Proficiency with SQL, Azure Synapse Analytics, and Power BI is essential to own data metadata and champion quality. You will gather requirements, prioritize the data product backlog, coordinate testing, and drive improvements in data quality and

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