Senior Business Data Analyst

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

We are seeking an experienced Senior Data Analyst to deliver actionable insights that improve product performance, program outcomes, operational effectiveness, and customer decision-making.

This role will partner closely with Product, Operations, Client Success, and business leaders to analyze performance, define KPIs, identify trends, and provide recommendations that drive measurable business outcomes.

Key Responsibilities

• Analyze product, program, and business performance using data-driven methodologies
• Develop and maintain KPIs, dashboards, and measurement frameworks
• Write advanced SQL queries within Databricks to analyze large and complex datasets
• Conduct segmentation, cohort analysis, trend analysis, and root-cause investigations
• Translate analytical findings into actionable business recommendations
• Support product reviews, business reviews, client reporting, and strategic planning initiatives
• Partner with stakeholders to define metrics, analytical definitions, and reporting standards
• Validate analytical datasets and identify data quality issues
• Build recurring reporting and standardized analytical views for business users
• Collaborate with Product, Engineering, Analytics, and Operations teams

Qualifications

• 5+ years of experience in Data Analytics, Product Analytics, Business Analytics, or a related field
• Advanced SQL skills and experience working with large datasets
• Hands‑on experience with Databricks or modern cloud data platforms
• Experience supporting product, program, or business performance analytics
• Strong knowledge of KPI development and measurement frameworks
• Experience performing segmentation, cohort analysis, trend analysis, and root‑cause analysis
• Strong analytical problem‑solving skills
• Experience presenting insights and recommendations to business stakeholders
• Strong communication and stakeholder management skills

Preferred Qualifications

• Healthcare, insurance, or regulated industry experience
• Power BI, Tableau, or other BI platform experience
• Product analytics experience
• Experience working with cross‑functional product and business teams

If you're passionate about turning data into business decisions and influencing strategy through analytics, we'd love to hear from you.