Client-Facing Data Analyst - SQL/PySpark Dashboards

ECP

United States

Remote

USD 100,000 - 135,000

Full time

8 days ago
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Job summary

ECP seeks a Data Analyst to build its Insights product for senior living communities. You will work in Databricks with SQL and Python/PySpark, developing reusable reporting that can scale across customers.

You will engage directly with customers, perform product discovery, and shape what we build rather than merely executing requests. Join a small team reporting to the VP of Data and influence product direction.

Qualifications

  • Proven ability to build and ship analyses against large datasets using SQL and Python/PySpark.
  • Experience presenting work to external customers.
  • Experience working in version control on a shared codebase (GitHub).
  • Ability to own work end to end from discovery to delivery.
  • Familiarity with HIPAA data handling and security practices.

Responsibilities

  • Own client-facing analyses and dashboards end to end, from initial customer conversation through delivery.
  • Run discovery with customers, define needs, propose approach and build accordingly.
  • Prioritize work across the reporting roadmap based on client input.
  • Design for reuse: create standard reporting that serves all customers and client-specific work when shareable.
  • Write SQL and Python/PySpark against large, multi-tenant datasets in Databricks; contribute dbt where appropriate.
  • Explain coverage, limitations, and methodology to customers; ensure ship quality and accuracy.
  • Collaborate with product, data engineering, and customer-facing teams to turn recurring requests into product.
  • Handle protected health information in line with HIPAA and security requirements.

Skills

SQL
Python
PySpark
Databricks
Communication
GitHub
End-to-end ownership

Education

Bachelor’s degree

Tools

Databricks
Snowflake
BigQuery

Job description

ECP seeks a Data Analyst to build its Insights product for senior living communities. You will work in Databricks with SQL and Python/PySpark, developing reusable reporting that can scale across customers.

You will engage directly with customers, perform product discovery, and shape what we build rather than merely executing requests. Join a small team reporting to the VP of Data and influence product direction.

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