Healthcare Data Analyst

About Our Client

Our client is a behavioral health engagement company that seamlessly integrates physical and behavioral healthcare. Its platform connects medical providers, behavioral health specialists and patients with its proprietary assessment and treatment management protocols to get and keep patients healthier faster. The organization’s structured therapy programs are centered on its proprietary 15 Life Domain Clinical Framework© that efficiently provides collaborative care teams with the most thorough understanding of a patient’s behavioral health needs.

Our client is a fast-growing health tech company transforming behavioral healthcare. Its digital platform and affiliated medical group make it easier for people to access high-quality care when and where they need it. You’ll join a mission-driven team that’s curious, collaborative, and passionate about improving lives through technology and care innovation. Here, ideas turn into action and learning happens every day. The organization is proud to be named one of the world’s top health tech companies, recognized for advancing digital behavioral healthcare. Together, the team is building a better, more accessible future for mental health.

What is Offered

• The chance to make life better for millions of people
• Smart, supportive colleagues who care about what they do
• A place where new ideas quickly turn into real results
• A culture that values curiosity, collaboration, and inclusion
• A team built on trust, accountability, and continuous learning

About The Role

Our client is seeking a detail-oriented and collaborative Data Analyst to join its Data Analytics Team. In this role, you will analyze complex data sets to drive platform improvements and support business and clinical decisions. You’ll collaborate with Product, Operations, Growth, and other teams to deliver insights and visualizations that measure impact, evaluate performance, and inform strategy.

Requirements

• Bachelor’s degree or higher in a quantitative or informatics field (e.g., Statistics, Mathematics, Economics, Engineering, Computer Science, Information Management).
• 2+ years of experience in data analysis, business intelligence, or feature engineering.
• Advanced experience with Sisense, Power BI, (or similar BI tools)—able to design dashboards for both executive-level decision-making and detailed operational use.
• Strong hands-on skills with PostgreSQL (query optimization, schema exploration) and Python (pandas, NumPy, Matplotlib) for automation, transformation logic, and advanced analysis.
• Proven ability to independently manage the reporting lifecycle—from stakeholder requirement gathering to schema/data model integration to dashboard delivery.
• Ability to collaborate effectively with engineering teams to validate schema changes, integrate new data sources, and maintain consistency across the data model.
• Strong data documentation skills: creating and updating data dictionaries, version control of datasets, and maintaining model diagrams with consistent naming and definitions.
• Skilled at storytelling with data, delivering insights that highlight trends, comparisons, and business impact—not just raw numbers.
• Excellent written and verbal communication skills, with experience presenting to executives and non-technical stakeholders.
• Experience in healthcare and/or startup technology environments preferred.
• Comfortable working in a dynamic environment, responding to shifting priorities and delivering under tight timelines.

Responsibilities

• Collaborate with Product, Operations, Clinical, and Finance stakeholders to capture new reporting and analytics needs.
• Translate requirements into data needs by defining sources, fields, and transformations.
• Partner with Engineering to review schema changes and ensure new or updated data integrates smoothly into the reporting model.
• Develop and maintain SQL models (PostgreSQL) across development and production environments—adding, updating, or removing fields, joins, and custom tables as needed.
• Apply consistent naming conventions, definitions, and documentation across data models to support flexible and scalable reporting.
• Write transformation logic (in Python where needed) to extend or customize data models.
• Perform QA and validation of all new or updated fields/tables against source data to ensure accuracy and reliability prior to deployment.

Dashboarding & Reporting

• Designing dashboards that translate stakeholder questions into clear, actionable visualizations (charts, KPIs, trends).
• Maintaining and updating existing dashboards as data models evolve—removing sensitive information and ensuring PHI/PII is restricted to authorized users.
• Optimizing dashboard performance by reducing load times, limiting unnecessary joins, and improving clarity.
• Documenting calculations and providing contextual notes and narrative elements so dashboards communicate insights, not just data.
• Managing distribution and visibility by scheduling static exports, configuring alerts, and monitoring usage to deprecate or consolidate underutilized dashboards.

Job Type: Full-time, salaried

Location: Remote

Compensation: $95,000 – $120,000annually

Benefits

• Comprehensive Medical, Dental, and Vision plans available
• Paid Time off, Sick Time and Paid Company Holidays
• 401k Retirement Savings Program with 2% Company matching
• Voluntary Life Insurance
• Employee Assistant Program (EAP)

Note:

“We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer. Swooped helps candidates around the world to discover and stay focused on the jobs they want until they can complete a full application in the hiring company career page/ATS.”