Senior Data Analyst

Clarity Pediatrics

4d•$150,000 - $175,000

About The Position

Clarity Pediatrics is hiring a Senior Data Analyst to own analytics across the company and develop a deep understanding of the patient journey. The role measures growth, conversion, care utilization, clinical outcomes, retention, and other dimensions. The analyst owns the meaning and consistency of company metrics, from data models through the definitions used in dashboards. The role combines complex SQL analysis, investigation of production data and discrepancies across reports, and recommendations on business solutions and opportunities for leadership. Work spans clinical, growth, operations, and product teams, with competing requests to prioritize. The Senior Data Analyst will advise executive and senior leadership, build and maintain dashboards, recommend analyses for strategic initiatives and market expansion, and develop an analytics roadmap. The role also transforms operational and unstructured data into analysis-ready datasets, advances AI adoption, monitors data quality, troubleshoots pipeline issues with engineering, and collaborates on integrating data sources and optimizing data flows.

Requirements

At least 5 years in an analytics, data, or business intelligence role.
Strong SQL skills and experience querying large, complex datasets.
Hands-on experience with data models and a cloud data warehouse such as BigQuery, Snowflake, or Redshift.
Proficiency with Python for data analysis.
Proficiency with GitHub and version control workflows.
Experience performing complex analyses and communicating insights to business stakeholders.
Experience with BI and visualization tools such as Sigma, Tableau, Looker, Power BI, Holistics, or similar.
A track record of building dashboards and reporting that others rely on.
Knowledge of statistics, data modeling, and healthcare analytics methodologies.
Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment.
Strong written, verbal, and presentation communication skills.
High attention to detail and commitment to delivering high-quality work.
Excitement about AI and its potential to make the company more efficient.

Nice To Haves

Experience with dbt or a similar transformation framework.
Experience with healthcare data and familiarity with PHI handling and HIPAA.
Experience building agentic or LLM-based workflows.

Responsibilities

Serve as the primary data advisor to C-suite and senior leadership, translating business questions into analytical frameworks and dashboards.
Build and maintain executive dashboards tracking business, clinical, operational, and product KPIs.
Recommend ad-hoc analysis and deep-dive investigations to support strategic initiatives and market expansion.
Develop and execute a comprehensive analytics roadmap.
Transform operational and unstructured data into clean, analysis-ready datasets.
Use AI to accelerate analysis and identify processes where AI can replace manual workflows.
Monitor data quality and partner with engineering to troubleshoot pipeline issues and maintain trusted data sources.
Collaborate with engineering teams to integrate new data sources and optimize data flows.
Own consistent metric definitions, from data models through the definitions used by dashboards.
Analyze complex or messy production data and investigate discrepancies between reports.
Prioritize requests from teams across clinical, growth, operations, and product.