Data Engineer / Data Analyst

R1 expands Phare OS with Phare UM, bringing real-time payer risk intelligence to utilization management.

Job Posting Source Text

Location

Noida, India

Time Type

Full time

Date Posted

Oct 14, 2026

Job Summary:

We are seeking a highly motivated Data Engineer / Data Analyst with up to 2 years of experience in data engineering, analytics, and reporting. The ideal candidate should have hands-on exposure to Databricks, SQL, data transformation, and visualization tools. The role involves working with business stakeholders to build scalable data pipelines, generate insights, and support data-driven decision-making.

Key Responsibilities:

Data Engineering

• Develop, maintain, and optimize ETL/ELT pipelines using Databricks.
• Extract, transform, and load data from multiple structured and unstructured data sources.
• Support data integration, cleansing, and quality assurance activities.
• Assist in building and maintaining data models and data warehouses.
• Monitor data pipelines and troubleshoot performance or data quality issues.

Data Analytics & Reporting

• Analyze large datasets to identify trends, insights, and business opportunities.
• Create dashboards and reports using Power BI, Tableau, or similar BI tools.
• Develop SQL queries for data extraction, validation, and analysis.
• Collaborate with business teams to understand reporting requirements and deliver actionable insights.
• Support ad-hoc analysis and executive reporting needs.

Collaboration & Process Improvement

• Work closely with cross-functional teams including Operations, Product, Finance, and Business stakeholders.
• Document data processes, business rules, and technical specifications.
• Contribute to automation initiatives and continuous process improvement.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Engineering, or related field.
• 0–2 years of experience in Data Engineering, Data Analytics, or Business Intelligence.
• Hands-on experience with Databricks and Apache Spark fundamentals.
• Strong SQL skills for querying and data manipulation.
• Knowledge of relational databases and data warehousing concepts.
• Experience with Python or PySpark for data processing.
• Understanding of ETL/ELT processes and data lifecycle management.
• Familiarity with Power BI, Tableau, or similar visualization tools.

Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions. Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests.

Our associates are given valuable opportunities to contribute, to innovate and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package. To learn more, visit: r1rcm.com

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