Marketing Data Analyst

Los Angeles, CA (Remote)

Salary Not AvailableMid Level4+ years exp

Posted 2 months ago

Job Summary

Own data sourcing and quality control for member communications, balancing PHI compliance with upstream data model alignment and cross‑team collaboration.

  • Data sourcing ownership: manage end-to-end extraction and validation of member lists from Snowflake for multi-channel sends.
  • Data quality & PHI stewardship: build automated checks and apply suppression/opt-out rules across all lists.
  • Cross‑functional partnership: align with Marketing Operations and Data teams on schema, mappings, and upstream data changes.

Job Description

Responsibilities

  • Data Sourcing & List Building: Own the end-to-end process of extracting and compiling member lists from multiple internal data sources — eligibility systems, pharmacy data, client records, and more — for use across email, SMS, and print communications. Your primary workspace is Snowflake, querying across the data models maintained by our Data Engineering and Analytics teams.
  • Data Quality & Validation: Define and enforce data quality standards across all member lists before they enter the delivery pipeline. Build and maintain automated checks that surface anomalies — duplicate records, missing fields, invalid formats, eligibility mismatches — before a single message is triggered.
  • PHI Stewardship & Compliance: Handle Protected Health Information with the rigor and discipline it demands. Own suppression list logic, ensuring members who have opted out, are ineligible, or fall under regulatory exclusions are accurately reflected across all lists at all times. Treat opt-out, preference, and PHI data as the highest-priority data in the pipeline.
  • Cross-Functional Partnership: Work hand-in-hand with the Marketing Operations Manager to ensure lists are formatted, mapped, and structured exactly to the schema required by communication platforms. Maintain an active working relationship with the centralized Data team — contributing to shared data models and quality standards, staying aligned on upstream changes, and advocating for member communications data needs at the infrastructure level.
  • What you will do: Extract, transform, and validate member data from multiple internal systems using Snowflake, producing clean, audit-ready lists for every communication send
  • What you will do: Build and maintain automated data validation workflows that catch quality issues — gaps, duplicates, mismatched fields, ineligible members — before lists are handed to Marketing Operations
  • What you will do: Own suppression and exclusion logic, including regulatory opt-outs, eligibility exclusions, and client-specific rules, and ensure they are consistently applied across all channels and send types
  • What you will do: Partner closely with the Marketing Operations Manager on list specifications, field mapping requirements, and pre-send data checks — you are the upstream dependency for every campaign they deploy
  • What you will do: Maintain clear documentation of data sources, transformation logic, field definitions, and business rules to support auditability and regulatory compliance
  • What you will do: Collaborate with the centralized Data team to stay aligned on Snowflake data model changes, contribute to shared data quality standards, and represent member communications requirements in data infrastructure decisions

Requirements

  • 4 years of hands-on experience in data analytics, data operations, or a closely related discipline
  • Experience working with Protected Health Information (PHI) and a working knowledge of HIPAA requirements as they apply to data handling — this is a requirement, not a nice-to-have
  • Strong SQL proficiency in Snowflake — comfortable writing complex queries, joining across multiple sources, and transforming raw data into clean, validated output
  • A quality-obsessed approach to data — you have experience building validation logic, reconciling data across systems, and treating data integrity as non-negotiable
  • Familiarity with member or customer data concepts including suppression lists, opt-out and preference management, eligibility logic, and regulated data handling
  • Experience working within a shared data infrastructure (e.g., contributing to or consuming dbt models, working alongside Data Engineering or Analytics teams) strongly preferred
  • Strong cross-functional communication skills — you can translate data findings and quality issues clearly to both technical and non-technical stakeholders
  • Healthcare or PBM industry experience is strongly preferred
  • A security-first mindset: You treat every member record as if it were your own medical history — because to someone, it is
  • Experience with regulatory compliance reporting and data auditability is valued but not strictly required

Benefits

  • Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance
  • Flexible Spending Benefits
  • 401(k) Retirement Savings Program
  • Short-term and long-term disability
  • Discretionary Paid Time Off
  • Paid Company Holidays
  • Wellness Benefits
  • Commuter Benefits
  • Paid Parental Leave benefits
  • Employee Assistance Program (EAP)
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SmithRx

Our mission is to reduce the cost and complexity of pharmacy benefits for America’s employers and patients. Pharmacy benefits are broken. The overly complex monopolies built by big PBMs only serve their bottom lines. SmithRx is a transparent, pass-through pharmacy benefits manager for self-insured employers. We operate independently from insurance companies and pharmacies so that our incentives are 100% aligned with our customers. Our modern technology and innovative cost savings programs connect our members to the lowest cost drugs.Get in touch with us to today to learn how to save on your pharmacy spend!

Founded in 2016
San Francisco, Minnesota, USA
473 employees (18 in marketing)
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Marketing Data Analyst

SmithRx · Los Angeles, CA · Remote