Manager - Data Analytics

Director, Internal Audit

The Internal Audit Department provides an independent appraisal function to support effective management controls. The Audit Analytics & Software Development (AASD) Team supports Internal Audit and Company stakeholders by delivering innovative, relevant, and timely analytics, applications, and automation solutions.

The Manager – Data Analytics is a hands-on manager-level analytics leader based in HCA Healthcare India (HHIN) and integrated with the primarily U.S.-based AASD Team. This colleague reports to the HHIN-based Director - Internal Audit and serves as the formal people manager for HHIN-based Data Analysts, with accountability for day-to-day supervision, performance management, coaching, and professional development. The role also leads and delivers complex analytics and automation projects, combining direct supervisory responsibility with the technical depth, independence, and productivity expected of an experienced data analyst.

Responsibilities

• Two direct reports (Data Analyst – I Levels)

People Leadership and Team Management

• Directly supervise HHIN Data Analysts and manage their daily work, including task assignments, priorities, workload balancing, delivery milestones, and timely escalation of impediments.
• Set individual goals and performance expectations; hold regular one-on-ones; conduct formal performance evaluations; and provide ongoing coaching, feedback, and career development support in accordance with HHIN processes.
• Manage performance concerns and improvement plans, as needed, in coordination with HHIN Human Resources and U.S.-based AASD leadership and consistent with applicable Company policies.
• Review analysts’ code, analyses, documentation, and deliverables for accuracy, maintainability, security, completeness, and alignment with AASD standards before stakeholder release.
• Build a collaborative and accountable team environment that supports knowledge sharing, professional growth, and effective communication between India- and U.S.-based colleagues.
• Lead onboarding and team capability-building; participate in hiring and selection decisions, partnering with HHIN leadership and U.S.-based AASD leadership as appropriate.
• Partner with U.S.-based AASD leadership to establish and align team priorities, performance objectives, technical standards, and delivery expectations for HHIN-based analysts.

Analytics Development and Technical Delivery

• Independently design, develop, test, deploy, and support sophisticated analytics, dashboards, reports, data pipelines, and automation solutions for Internal Audit and other approved Company use cases.
• Develop according to established HCA Healthcare and AASD Team standards and best practices.
• Use Python extensively to ingest, clean, transform, validate, analyze, and automate data; write reliable, well-documented, reusable code and apply appropriate testing, version control, and error-handling practices.
• Develop and optimize SQL queries, integrate data from multiple sources, and apply sound relational data modeling and data quality practices to produce trustworthy outputs.
• Lead technical activities across the delivery lifecycle, including requirements gathering, solution design, data exploration, development, quality assurance, deployment, troubleshooting, and ongoing support.
• Translate complex business or audit questions into practical analytical solutions, interpret results, and communicate actionable insights to stakeholders.
• Coordinate with U.S.-based AASD colleagues and leadership to plan work, clarify requirements, manage dependencies, and maintain consistent delivery practices across locations.
• Document requirements, design decisions, assumptions, testing, and deliverables; maintain current work status in team project-tracking tools (e.g., GitHub Projects).
• Proactively communicate progress, schedule changes, risks, and recommended solutions to technical and nontechnical stakeholders.
• Apply HCA Healthcare-approved development practices, data governance, access controls, information security standards, and confidentiality requirements when handling data.
• Identify opportunities to improve efficiency, repeatability, quality, and stakeholder satisfaction through process improvements and automation.

Requirements

• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Engineering, Statistics, or a related field is required.
• 7 - 10 years years of progressively responsible experience in data analytics, business intelligence, data engineering, or a closely related discipline is required.
• Experience providing technical leadership, coaching, performance feedback, code review, and work direction to analysts is required; prior formal direct-report management experience is preferred.
• Strong, demonstrated proficiency in Python and substantial hands-on experience using it for analytics and automation, including data manipulation (such as pandas), debugging, modular coding, automated testing, and maintainable production workflows.
• Strong SQL skills, with experience querying, joining, validating, and transforming complex datasets; working knowledge of relational database concepts and data modeling.
• Experience delivering end-to-end analytics solutions and working with reporting or visualization tools such as Power BI, Qlik, or comparable platforms.
• Working knowledge of software development and analytics delivery practices, including source control (such as Git), documentation, quality assurance, and issue/project tracking.
• Prior experience in working in data analytics team in a similar GCC environment.
• Can demonstrate effective coordination having previously worked with U.S.-based AASD colleagues and leadership for requirements, managing dependencies, and maintaining consistent delivery practices across locations

Preferred

• Relevant technical or cloud certifications are a plus.
• Practical experience with Google Cloud Platform (GCP), particularly BigQuery, Cloud Storage, and cloud-based data processing, integration, or automation services.
• Experience with data pipelines, ETL/ELT, workflow orchestration, and cloud data engineering or deployment practices.
• Experience using AI-assisted coding tools, such as GitHub Copilot, to improve development productivity and code quality, including review and validation of generated code for accuracy, security, and compliance with Company policies.
• Familiarity with financial data, healthcare data, Internal Audit, risk management, and/or governance and control considerations.

Work Location

Hyderabad, India (Work from Office).

Shift Timings

2:00 PM to 11:00 PM (IST).