R1 RCM is hiring for an FRESHER entry level Analyst - Data Engineering / Data Analytics role in India

Position: Analyst - Data Engineering / Data Analytics 
Company: R1 RCM 
Location: Noida, India 
Job type: Full time 
Job mode: Onsite/Hybrid (as per standard corporate setup) 
Job requisition id: R260000006970 
Years of experience: 0–2 Years

Company Overview

• R1 RCM stands as a prominent global pioneer in technology-driven healthcare revenue management solutions, transforming patient experiences and financial performance for hospitals, health systems, and medical groups worldwide.

• Combining the deep expertise of a global workforce of revenue cycle professionals with advanced technology platforms, the enterprise encompasses sophisticated analytics, artificial intelligence, intelligent automation, and workflow orchestration.

• Maintaining a robust global presence exceeding 30,000 employees, the organization operates an expansive footprint in India with over 17,000 professionals distributed across key technology hubs including Delhi NCR, Hyderabad, Bangalore, and Chennai.

• Cultivating an inclusive workplace culture, the firm ensures that every team member feels valued, supported, and empowered to drive continuous innovation across the healthcare sector.

• The core mission focuses on transforming the healthcare industry by driving efficiency for healthcare systems, hospitals, and physician practices, ultimately striving to make healthcare work better for everyone.

• Partnering with over 1,000 healthcare providers, including 95 of the top 100 U.S. health systems, the enterprise handles over 270 million payer transactions annually to unlock immense long-term value.

• Associates are provided valuable opportunities to contribute, innovate, and create meaningful work that makes a positive impact in communities worldwide while enjoying a competitive benefits package.

Profile Overview

• The organization seeks a highly motivated Data Engineer or Data Analyst with up to 2 years of professional experience specializing in data engineering, advanced analytics, and automated reporting.

• The ideal candidate brings hands-on exposure to Databricks, SQL database querying, data transformation frameworks, and modern business intelligence visualization tools.

• Core responsibilities involve collaborating directly with business stakeholders to build scalable data pipelines, extract deep insights, and support data-driven strategic decision-making.

• The data engineering scope requires developing, maintaining, and optimizing ETL and ELT pipelines using Databricks while extracting, transforming, and loading structured and unstructured information sources.

• Candidates will actively support data integration, data cleansing, and rigorous quality assurance activities while assisting in the construction of robust data models and modern data warehouses.

• Responsibilities include monitoring data pipelines continuously to identify, isolate, and troubleshoot performance bottlenecks or data quality anomalies swiftly.

• The data analytics and reporting scope mandates analyzing large-scale datasets to uncover emerging trends, operational insights, and commercial business opportunities.

• Professionals will create dynamic dashboards and comprehensive executive reports utilizing enterprise business intelligence tools such as Power BI and Tableau.

• Close cross-functional cooperation with Operations, Product, Finance, and business stakeholders ensures that reporting requirements translate into actionable business insights.

• The role emphasizes contributing to internal automation initiatives, documenting data processes, defining business rules, and driving continuous process improvement across teams.

Qualifications

• Candidates must possess a Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, Engineering, or a closely related technical discipline.

• Applicants should demonstrate 0 to 2 years of relevant professional experience spanning Data Engineering, Data Analytics, or Business Intelligence domains.

• Practical, hands-on experience with Databricks and foundational concepts of Apache Spark is strictly required for processing large-scale data workloads.

• Strong proficiency in SQL is essential for writing complex queries, data manipulation, extraction, validation, and comprehensive exploratory analysis.

• Solid theoretical and practical knowledge of relational database management systems and modern enterprise data warehousing concepts is necessary.

• Familiarity with programming languages such as Python or PySpark for custom data processing and pipeline scripting is required.

• Clear understanding of end-to-end ETL and ELT processes, data lifecycle management, and pipeline orchestration best practices is expected.

• Working familiarity with industry-standard visualization platforms like Power BI, Tableau, or equivalent reporting tools is required.

• The ability to thrive in an evolving healthcare technology setting, leveraging shared team expertise to deliver innovative data-driven solutions, is vital.

Additional Info

• Operating within a fast-growing team environment, professionals are granted unique opportunities to learn, expand their skill sets, and explore professional interests through rewarding interactions.

• The enterprise provides a culture of academic and operational excellence that actively drives customer success and improves patient care standards globally.

• Team members are encouraged to give back to the community and participate in corporate social responsibility initiatives while enjoying comprehensive employee benefits.

• The role is situated in Noida, India, serving as part of the massive regional technology and delivery network across the Delhi NCR hub.

• Prospective applicants can review further organizational details and governance policies by visiting the official corporate portal at r1rcm.com.

• The position represents an ideal stepping stone for early-career technologists looking to make a measurable impact within the global healthcare technology ecosystem.

• Recruitment processes emphasize technical rigor, problem-solving capability, and clear communication skills required for stakeholder collaboration.

• Continuous learning programs and internal mentorship structures are embedded into the daily work culture to support accelerated career progression.

Please click here to apply.