Data Analyst I

Data Analyst I

Client Operations - HC Tuzla, Bosnia and Herzegovina

Why This Role Matters

When data file exchanges break down - eligibility mismatches, EDI errors, failed SFTP transfers - the downstream impact hits real members and real clients. As a Data Analyst I on the TPA DataOps team, you're the person who catches those issues early, digs into the root cause, and gets things back on track. Precision here isn't just good practice; it's what keeps the operation running.

What You'll Actually Do

Monitor and manage data file exchanges: Track ongoing file movements between clients, vendors, and internal systems - identifying and resolving errors in SFTP connections, import/export files, and eligibility files before they escalate.

Analyze and troubleshoot EDI transactions: Identify technical issues arising from enrollment changes or improper EDI setup, and coordinate with engineering partners to resolve them. Coordinate ongoing EDI testing, implementations, and upgrades.

Validate data against business requirements: Compare reports and data files against documented requirements to confirm quality and surface gaps — keeping pipelines accurate and compliant.

Communicate status clearly and consistently: Keep end users, the Team Lead, and the DataOps Manager informed on task and issue status — translating technical findings into plain language that operational teams can act on.

Maintain cross-departmental workflow knowledge: Build and sustain a working understanding of how data moves across operational departments so you can troubleshoot in context, not in isolation.

What You Bring to Our Team

Education & Experience

• 2+ years of experience in system analysis, data analysis, or process improvement
• 1+ years of experience in the healthcare industry
• Associate's or bachelor's degree preferred, not required
• Knowledge of the healthcare and TPA industry preferred
• Experience with ANSI 5010 transactions - 837, 835, 834, 270/271 - preferred

Technical Skills

• Intermediate to advanced proficiency in Microsoft Office Suite, particularly Excel
• Familiarity with flat file data structures including CSV and pipe-delimited formats
• Experience with data analysis tools such as Excel, SQL, Tableau, or Power BI

Our Commitment: Personify Health is an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive—because diversity is core to who we are and critical to our work in health and wellbeing.