Business Intelligence Data Analytics Engineer (Snowflake, Fivetran)

Ovii's Interpretation of the Role

We need a Business Intelligence & Analytics Engineer to build and operate data pipelines, Snowflake models, and Tableau reporting that power finance and go‑to‑market insights. The role works hands‑on across the full data stack and partners closely with Finance and GTM stakeholders.

Role Snapshot

• Build and maintain scalable data pipelines
• Design Snowflake data models and warehouse objects
• Create and support Tableau dashboards
• Partner with Finance and GTM teams
• Ensure data quality, governance, and KPI consistency
• Optimize query performance and cost

Must-Have Requirements

• Snowflake
• Fivetran
• SQL
• Tableau
• Data pipeline engineering
• analytics engineering
• business intelligence
• Bachelor’s degree in a quantitative, technical, or business field
• Location: Hyderabad, India (onsite)

Nice-to-Have Signals

• Python
• Git
• Salesforce data familiarity
• Python for data analysis
• Master’s degree

Work Setup

• Location: Hyderabad, India
• Work mode: ONSITE
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Salary range
• Remote eligibility
• Notice period
• Travel
• Security clearance
• Coding test

What You'll Likely Work On

• Design, build, and maintain Fivetran pipelines that ingest data from Salesforce, ERP, and other systems into Snowflake.
• Own the transformation layer, delivering clean, tested, and documented analytics‑ready datasets for Finance and GTM reporting.
• Develop and sustain Tableau dashboards tracking ARR, NRR, pipeline coverage, quota attainment, and other key metrics.
• Collaborate with Finance and cross‑functional stakeholders to translate business questions into data models, metric definitions, and visualizations.
• Manage Snowflake objects—including schema design, virtual warehouses, RBAC, and query optimization—to ensure performant, cost‑effective analytics.
• Define KPI definitions, maintain data source documentation, and enforce metric governance across Finance and GTM teams.
• Analyze customer, revenue, and product usage data to surface growth, churn, and pricing insights.
• Continuously improve analytics workflows, documentation standards, and self‑service reporting capabilities.

Good Fit If You Have

• Enjoy turning business questions into data solutions.
• Comfortable working cross‑functionally with Finance and GTM teams.
• Strong analytical judgment and business acumen for SaaS metrics.