Data Analyst

Required:

This is an in-office position in Richardson, TX.

As the Data Analyst for Outreach Health, you are responsible for transforming organizational data into actionable insights, clearly defined business requirements, and effective decision-support solutions. This position works directly with business and executive leaders to understand operational needs, identify the questions that should be asked, and proactively surface trends, risks, opportunities, and areas for improvement. The Data Analyst collaborates with business stakeholders, Information Technology, and application development resources to define meaningful performance measures, analyze data, document requirements, and support the development of reports, dashboards, integrations, and custom analytics applications.

This position is not limited to a single reporting platform and will support Outreach Health’s transition from traditional business intelligence dashboards to custom web applications. Using SQL, Python, approved generative artificial intelligence tools, and other technologies, the Data Analyst collects, validates, transforms, analyzes, and communicates information from multiple data sources. The Data Analyst is expected to use initiative, anticipate the needs and follow-up questions of organizational leaders, and bring forward findings and recommendations without waiting for a formal request.

• Partner with business and executive leaders to understand organizational objectives, operational challenges, business processes, and the decisions that data must support.
• Conduct discovery and requirements-gathering sessions with stakeholders to identify underlying business needs rather than relying solely on initially requested reports or solutions.
• Translate business needs into clearly documented functional requirements, data requirements, business rules, process flows, metric definitions, user stories, acceptance criteria, and testing scenarios.
• Proactively analyze operational, financial, workforce, compliance, service-delivery, and other organizational data to identify trends, anomalies, risks, performance gaps, and opportunities for improvement.
• Develop analytical questions and hypotheses, anticipate follow-up questions from business leaders, and bring forward findings without waiting for a formal request.
• Interpret data and communicate meaningful conclusions, business impact, and recommended actions to technical and nontechnical stakeholders at all levels of the organization.
• Develop, review, and optimize SQL queries used to retrieve, combine, reconcile, validate, and analyze data from relational databases and other organizational data sources.
• Use Python to perform data analysis, data transformation, automation, validation, quality assurance, and rapid solution prototyping.
• Use approved generative artificial intelligence and AI‑assisted development tools, including tools such as ChatGPT and Claude Code, to accelerate analysis, coding, research, documentation, testing, and prototyping.
• Independently review and validate AI‑generated analysis, SQL, code, documentation, and recommendations before organizational use.
• Use approved AI tools in accordance with Outreach Health’s privacy, security, HIPAA, data governance, and acceptable‑use requirements.
• Design reports, visualizations, analytical models, prototypes, wireframes, dashboards, alerts, and other decision‑support solutions that present information clearly and support measurable business outcomes.
• Support existing Power BI reports and dashboards while assisting with the transition of organizational…