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aptihealth · 1 day ago

Healthcare Data Analyst

United States

Full-time

Remote

Entry, Mid Level

$95K/yr - $120K/yr

2+ years exp

Aptihealth is a fast-growing health tech company transforming behavioral healthcare. They are seeking a detail-oriented Data Analyst to join their Data Analytics Team, responsible for analyzing complex data sets to drive platform improvements and support business and clinical decisions.

Health CareMedicalPrimary and Urgent CareProfessional Services

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

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

Qualification

Data analysisBusiness intelligencePostgreSQLPythonSisensePower BIData documentationStorytelling with dataHealthcare experienceStartup technology experienceCollaborationCommunication

Required

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