Business Data Analyst

Job Title Business Data Analyst / Senior Business Intelligence Analyst

Classification Exempt

Reports To CIO/CTO

Schedule Full-Time | Remote

AristaMD is the premier virtual-first professional medical corporation providing specialty care. We enable risk-bearing PCPs to improve access to specialty care, enhance clinical outcomes, and reduce the total cost of care.

Our program, SC360, provides point-of-care referral decision support, routing every referral by clinical appropriateness to one of three tracks: an eConsult, a virtual specialty care visit, or a curated in-person specialty network. This ensures every patient gets the right care, at the right time, through the right channel.

We're looking for a highly technical and consultative Business Data Analyst to join our growing analytics team. This person will own analytics platform governance, lead the ongoing migration of our reporting infrastructure to Power BI, and serve as a strategic partner to clinical, operations, and leadership teams across a fast-growing healthcare technology company.

This is not a "build the report and move on" role. We're looking for someone who proactively automates repetitive workflows, designs scalable data solutions, and helps teams build the right thing, not just whatever was asked for last. You'll operate inside a mature, enterprise-scale Power BI environment supporting multiple business lines and client-facing reporting programs.

You'll join a team that's actively investing in modern analytics infrastructure and AI-assisted workflows, with the autonomy to shape how the organization measures, automates, and scales its reporting practices. This role has a clear growth path from report development into analytics strategy leadership.

• Power BI Migration: Own the migration of legacy reporting tools to Power BI.
• Certified Reporting Environments: Establish and maintain certified, well-documented, and supportable reporting environments that the whole organization can trust.
• Reporting Asset Ownership: Act as the primary owner of key reporting assets and dashboards, accountable for their ongoing accuracy, performance, and upkeep.

• Data Initiatives: Lead high-impact data initiatives from discovery through implementation, including compensation and payment data portals, claims and utilization analysis, and enterprise data warehousing work.
• Requirements & Acceptance: Define metric definitions, business rules, UAT processes, and acceptance criteria, and see projects through to production.

• Workflow Automation: Proactively identify repetitive, manual reporting processes and automate them, turning multi-hour manual processes into reliable automated pipelines.
• AI & Scripting: Use AI tools and scripting (e.g., workflow automation platforms, scripting languages) to streamline recurring report distribution and internal data workflows.
• Standardized Reporting Packages: Develop standardized, reusable reporting packages and automate their recurring distribution to stakeholders and clients, for both internal and external reports.

• Stakeholder Partnership: Partner directly with business stakeholders across clinical, customer experience, and operations functions.
• Requirements Translation: Translate ambiguous business needs into clear analytical requirements and guide teams toward durable solutions rather than one-off fixes.

• Documentation: Build and maintain documentation including data dictionaries, reporting standards, and workflow diagrams.
• Data Warehouse Scalability: Help ensure the integrity and scalability of an enterprise data warehouse as the organization grows.

• Data Validation: Monitor data quality and perform validation checks across reporting layers to ensure accuracy and consistency.
• Integration Troubleshooting: Troubleshoot and resolve data integration issues between source systems, ETL pipelines, and the data warehouse.

• Minimum of 7 years of relevant work experience in business intelligence, data analytics, or a related field
• Expert-level proficiency in Power BI (including DAX); strong working knowledge of Tableau or similar legacy BI tools
• Strong SQL across multiple platforms (PostgreSQL and Snowflake) and Python skills
• Proven experience designing and managing ETL pipelines in a modern data warehouse…