Data Analyst, ECP Insights

ECP

. Own client-facing analyses and dashboards end to end, from initial customer conversation through delivery .

Posted 9/24/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in client-facing analyses and reporting, utilizing SQL and Python or PySpark to manage large datasets. Proficient in collaborating with cross-functional teams and adhering to HIPAA regulations while delivering accurate and insightful dashboards.

Highest-signal resume keywords

SQL ExpertisePython or PySpark ProficiencyDatabricks ExperienceClient-Facing ReportingHIPAA Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonPySparkDatabricksDbtData AnalysisReportingData TransformationQuery PerformanceVersion Control

Soft Skills

CommunicationCollaborationProblem-SolvingCustomer EngagementPresentation Skills

Tools & Technologies

DatabricksSnowflakeBigQuerySparkGitHubBI ToolsDashboarding ToolsAI Coding Tools

Certifications & Qualifications

Bachelor's Degree

Industry Keywords

HealthcareSenior LivingRegulated Data EnvironmentProtected Health Information

Tech Stack

Tools & technologies

BigQueryPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Own client-facing analyses and dashboards end to end, from initial customer conversation through delivery
Run discovery with customers, understand underlying needs, propose approaches, and define deliverables
Use client input to prioritize the reporting roadmap
Design reusable standard and client-specific reporting
Write SQL and Python or PySpark against large, multi-tenant datasets in Databricks
Contribute dbt models with the data engineering team when transformations belong upstream
Explain coverage, limitations, and methodology to customers
Own the accuracy of shipped work
Collaborate with product, data engineering, and customer-facing teams to turn recurring requests into product
Handle protected health information according to HIPAA and security requirements

Requirements

What you’ll need

Bachelor's degree
Independently built and shipped analyses or reporting against large, complex datasets using SQL and Python or PySpark
Uses AI coding tools in day-to-day work, such as Claude Code or Cursor
Strong SQL, including joins, window functions, and query performance on large tables
Working knowledge of Databricks, or strong experience with a comparable platform such as Snowflake, BigQuery, or Spark
Experience presenting own work to people who did not build it, ideally external customers
Experience working in version control on a shared codebase; the company uses GitHub
Track record of owning work end to end
Experience with dbt (nice to have)
Experience building reporting for many customers on shared infrastructure (nice to have)
Experience in healthcare, senior living, or another regulated-data environment (nice to have)
Experience with BI and dashboarding tools (nice to have)