Senior Data Analyst: KPI Builder & Insight Leader

NationsBenefits India; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

NationsBenefits India invites an experienced Senior Data Analyst to partner with Product, Operations, Client Success and leadership to deliver insights, define KPIs, and drive data-informed decisions that improve product performance and client outcomes.

You will develop dashboards, write advanced SQL in Databricks, perform segmentation and cohort analyses, validate data quality, and translate findings into actionable recommendations for cross-functional teams.

Qualifications

• 5+ years of experience in data analytics, product analytics or related fields.
• Strong SQL and experience with large datasets.
• Hands-on with Databricks or similar cloud data platforms.
• Experience supporting product, program, or business analytics.
• Strong KPI development and measurement framework knowledge.
• Experience performing segmentation, cohort analysis, and trend analysis.
• Excellent problem-solving and communication skills.

Responsibilities

• Analyze product, program, and business performance using data-driven methods.
• Develop and maintain KPIs, dashboards, and reporting frameworks.
• Write and optimize SQL queries in Databricks to analyze large datasets.
• Perform segmentation, cohort analysis, and trend analysis.
• Translate findings into actionable business recommendations.
• Support product reviews, client reporting, and strategic planning.
• Collaborate with cross-functional teams to define metrics and standards.
• Validate data quality and build standardized analytical views.

Skills

Data Analytics

Product Analytics

Business Analytics

Advanced SQL

Databricks

KPI Development

Segmentation

Cohort Analysis

Root Cause

Stakeholder Mgmt

Presentation

Tools

Databricks Platform

Job description

NationsBenefits India invites an experienced Senior Data Analyst to partner with Product, Operations, Client Success and leadership to deliver insights, define KPIs, and drive data-informed decisions that improve product performance and client outcomes.

You will develop dashboards, write advanced SQL in Databricks, perform segmentation and cohort analyses, validate data quality, and translate findings into actionable recommendations for cross-functional teams.