Data Analyst 2

Oregon Lottery•,

1d•$84,188 - $134,706•Remote

About The Position

The Data Analyst 2 joins the Oregon Lottery’s IT Governance team in a remote role and reports to the Manager of Data Management. The position supports data-driven decision-making by analyzing information and business processes, identifying gaps, solving problems, and producing requirements and actionable insights. The analyst serves as a liaison between business stakeholders and technical teams, defining data and reporting needs and working with architects to translate them into effective solutions. Using SQL, Azure Synapse Analytics, and Power BI, the analyst owns data metadata and champions data quality. The role gathers requirements for reporting and analytics solutions, manages and prioritizes the data product backlog and kanban boards, represents the team with a product-owner perspective, coordinates testing and releases, supports system enhancements, and drives improvements to operational effectiveness, data quality, and organizational performance. The role also applies Lottery Management Core Values and Expectations, including fairness, integrity, security, and honesty, and supports the Lottery’s commitments to Responsible Gambling, Diversity, Equity, and Inclusion, and a Culture of Safety.

Requirements

Bachelor’s degree and three years of progressively responsible experience supporting business systems, enterprise applications, technology solutions, data analysis, integrations, or related business processes; OR six years of progressively responsible experience in those areas.
Experience or capability supporting business systems, enterprise applications, technology solutions, data analysis, integrations, or related business processes.
Ability to gather, analyze, document, and validate business, functional, and technical requirements.
Ability to coordinate testing and support user acceptance and implementation readiness.
Ability to analyze processes and identify system, automation, and service improvement opportunities.

Responsibilities

Apply Lottery Management Core Values and Expectations, embodying fairness, integrity, security, and honesty.
Support and integrate the Lottery’s commitments to Responsible Gambling, Diversity, Equity, and Inclusion, and a Culture of Safety into daily work.
Analyze and support enterprise business systems, applications, integrations, and technology solutions for operational and business needs.
Gather, analyze, document, and validate business, functional, and technical requirements for system enhancements, projects, and process improvement initiatives.
Manage requirements and analysis throughout the delivery lifecycle to ensure alignment with approved scope and intended outcomes.
Coordinate testing activities and support business acceptance readiness through implementation support, issue resolution, and system enhancement efforts.
Evaluate business processes, workflows, and operational practices to identify opportunities for system optimization, automation, and service improvements.
Collaborate with business stakeholders, technical teams, vendors, and cross-functional partners to support technology initiatives and operational objectives.
Support and perform system configuration, reporting, data validation, integration support, and platform administration activities as assigned.
Develop and maintain business process documentation, system procedures, user guides, workflow diagrams, and related records.
Monitor system performance, identify operational issues, and recommend corrective actions and improvement strategies.
Provide guidance to less experienced analysts and support knowledge sharing and process standardization.
Create technical specifications, workflow diagrams, and support documentation.
Maintain the integrity and accuracy of metadata across data assets.
Collaborate with programmers, engineers, and organizational leaders to identify and implement process enhancements and data governance policies.
Support user acceptance testing by validating requirements, coordinating testing activities, and ensuring solutions meet business and data needs before implementation.
Gather requirements for reporting and analytics solutions that support business objectives.
Manage and prioritize the data product backlog and kanban boards, representing the team with a product-owner perspective.
Coordinate testing and release activities, support system enhancements, and drive improvements to operational effectiveness, data quality, and organizational performance.