Data Infrastructure & Analytics Specialist

Ovii's Interpretation of the Role

The Data Infrastructure & Analytics Specialist will design, build, and operate scalable data pipelines and reporting solutions for a healthcare‑focused platform. This role blends data engineering with analytics enablement, driving data strategy and mentoring analysts across product lines.

Role Snapshot

• Design and maintain scalable data pipelines
• Develop ETL/ELT processes on GCP
• Own internal and external reporting systems
• Build dashboards with Looker/Tableau/etc.
• Lead data strategy and mentor analysts
• Collaborate with cross‑functional product teams

Must-Have Requirements

• GCP (BigQuery, Firestore, Spanner)
• Python
• SQL
• ETL/ELT pipeline development
• Airflow
• Dashboarding tools (Looker, Tableau, Superset, Omni)
• Data modeling & quality
• Strong problem‑solving and cross‑team collaboration
• data engineering
• analytics
• GCP

Nice-to-Have Signals

• GitHub & modern development workflows
• AI‑assisted coding tools
• Experience with structured and unstructured data

Work Setup

• Location: Pune, India
• Work mode: HYBRID
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Education requirement
• Certifications
• Relocation
• Notice period
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub requirement
• Writing sample
• Cover letter

What You'll Likely Work On

• Design, build, and maintain internal data infrastructure on GCP
• Create and manage ETL/ELT pipelines moving data from Firestore/Spanner to BigQuery
• Ensure data is modeled, optimized, and quality‑checked for analytics
• Own automated reporting workflows using Airflow and deliver data via dashboards and exports
• Develop and sustain dashboards in Looker, Tableau, Superset, or Omni, defining best practices
• Partner with product and engineering teams to translate business needs into data solutions
• Act as technical leader for data infrastructure initiatives and mentor analysts
• Drive data strategy and promote data‑driven decision making across the organization

Good Fit If You Have

• Familiarity with GitHub and modern development workflows
• Comfort using AI‑assisted coding tools (e.g., Cursor, Claude)
• Flexibility to work with US timezones
• Experience handling both structured and unstructured data