Report Developer

Ascendion Engineering; Bengaluru; Hybrid; INR 900,000 - 1,600,000; Full time

Job summary

Ascendion Engineering in Bengaluru is seeking a BI Analyst with 4–7 years of experience to analyse, model, and visualise healthcare and operational data. The role emphasizes Snowflake, QNXT data, SQL, and BI tools to deliver actionable insights to business stakeholders.

You will develop dashboards, perform data validation, monitor key metrics, and collaborate with data engineers and business users to translate requirements into meaningful reports and visualisations.

Qualifications

• 4–7 years of experience in Business Intelligence, Reporting, or Data Analytics.
• Strong hands-on experience with Snowflake Data Platform.
• Experience working with QNXT healthcare data (Claims, Membership, Provider, Eligibility).
• Advanced SQL skills for querying, analysis, and data validation.
• Experience with Power BI, Tableau, or similar BI/reporting tools.
• Strong data reconciliation, reporting, and analytical capabilities.
• Excellent communication and stakeholder management skills.

Responsibilities

• Develop and maintain dashboards, scorecards, and reports using Power BI.
• Analyse QNXT data, including claims, eligibility, provider, and membership datasets, to generate actionable business insights.
• Perform data extraction, transformation, validation, and reconciliation using Snowflake and SQL.
• Conduct ad-hoc analysis to identify trends, anomalies, and improvement opportunities.
• Translate business requirements into meaningful reports and visualisations for stakeholders.

Tools

Snowflake Data Platform

Power BI

SQL

Tableau

Job description

BI Analyst

Experience: 4–7 Years

Location: Bengaluru / Hybrid

Role Overview

We are seeking a BI Analyst with strong experience in Snowflake, QNXT healthcare data, and business intelligence reporting. The role will focus on analysing, interpreting, and visualising healthcare and operational data to deliver actionable insights for business stakeholders. The ideal candidate will leverage Snowflake, SQL, and BI tools to create datasets, build dashboards, perform data validation, and support data-driven decision-making.

Key Responsibilities

Business Intelligence & Reporting

• Develop and maintain dashboards, scorecards, and reports using Power BI
• Analyse QNXT data, including claims, eligibility, provider, and membership datasets, to generate actionable business insights.
• Perform data extraction, transformation, validation, and reconciliation using Snowflake and SQL.
• Conduct ad-hoc analysis to identify trends, anomalies, and improvement opportunities.
• Translate business requirements into meaningful reports and visualisations for stakeholders.

Data Analysis & Insights

• Create and manage reporting datasets and analytical data models within Snowflake.
• Monitor key business and operational metrics and provide recommendations based on data findings.
• Ensure data accuracy, consistency, and integrity across multiple systems.
• Support root-cause analysis and data quality initiatives.

Stakeholder Collaboration

• Partner with business users, operations teams, and data engineers to understand reporting requirements.
• Present findings and insights to leadership and business stakeholders.
• Support strategic initiatives through reporting and analytical recommendations.

Required Skills

• 4–7 years of experience in Business Intelligence, Reporting, or Data Analytics.
• Strong hands-on experience with Snowflake Data Platform.
• Experience working with QNXT healthcare data (Claims, Membership, Provider, Eligibility).
• Advanced SQL skills for querying, analysis, and data validation.
• Experience with Power BI, Tableau, or similar BI/reporting tools.
• Strong data reconciliation, reporting, and analytical capabilities.
• Excellent communication and stakeholder management skills.

Preferred Skills

• Exposure to AWS services such as S3 and Glue.
• Knowledge of Python for data analysis and automation.
• Understanding of healthcare payer or managed care business processes.
• Experience working with large-scale datasets and data warehouses.