Marketing Data Analyst

🕒 June 26

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SmithRx

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

⚕️ Healthcare Insurance

☁️ SaaS

🤝 B2B

💰 $20M Series B on 2022-03

Healthcare Insurance • SaaS • B2B

SmithRx is a transparent, pass-through pharmacy benefits manager (PBM) that operates independently from insurance companies and pharmacies to align its incentives with self-insured employers and their members. By leveraging modern technology, SmithRx aims to reduce the cost and complexity of pharmacy benefits, ensuring the delivery of effective and low-cost drugs. The company is dedicated to transforming the pharmacy benefits landscape through its flat-rate, transparent pricing model and innovative cost savings programs, which connect members to the lowest cost drugs without the use of spread pricing, rebates, or other tactics. SmithRx's commitment to transparency and superior customer service results in significant savings for employers and a highly satisfactory experience for its members.

📋 Description

• 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 • 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 • Handle Protected Health Information with the rigor and discipline it demands • 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

🎯 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

🏖️ 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) • Well-stocked kitchen in office locations • Professional development and training opportunities