Sr. Data Analyst - Data Model Regulatory
New
Fully remote work flexibility across the United StatesFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 6–8 years of experience
- Required Skills
- PythonSQLBusiness IntelligenceSnowflakePostgresData modelingBigQuery
Requirements
- 6–8 years of experience as a data analyst or analytics engineer with strong exposure to statistical analysis and modern data tooling.
- Advanced proficiency in SQL (Postgres, BigQuery, Snowflake, or similar) and experience working with large-scale structured datasets.
- Strong programming skills in Python for data analysis, modeling, and automation.
- Experience building and maintaining robust data models and analytical frameworks in fast-paced environments.
- Proven ability to communicate complex analytical concepts clearly to both technical and non-technical stakeholders.
- Demonstrated experience delivering high-quality data analysis and insights at a consistent, high cadence.
- Strong problem-solving skills with the ability to prioritize competing requirements and define clear data solutions.
- Adaptability and willingness to contribute beyond core responsibilities in a dynamic, evolving environment.
Responsibilities
- Design, build, and maintain scalable data models using modern tools to support analytics, reporting, and machine-driven insights.
- Develop and enhance the semantic layer that powers business intelligence tools and internal data products.
- Translate end-to-end claims lifecycle processes into structured, high-quality datasets in collaboration with product and operations teams.
- Integrate new data sources into the data ecosystem while ensuring accuracy, consistency, and performance of existing pipelines.
- Use SQL and Python to analyze large datasets, generate insights, and develop robust analytical frameworks.
- Collaborate with engineering, analytics, and operations stakeholders to define data requirements and ensure alignment with business needs.
- Document specifications, methodologies, and data logic with clarity for both technical and non-technical audiences.
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