General Position Information

Reports Directly To (Title)

Manager or Senior Manager, HR Data &

- Analytics

Matrix Reports To (Title)

As applicable based on HR Transformation &

- Analytics portfolio alignment

Direct Reports

Individual contributor; no direct reports

Created / Last Revised

07/24/2026

Job Code

TBD

Position Summary The BI Developer is responsible for developing, delivering, documenting, and maintaining trusted analytics products that support the operational effectiveness of the Human Resources Group. This role supports analytics solutions from requirements clarification through data preparation, semantic modeling, visualization, release, adoption, and ongoing support.

The BI Developer partners with HR Analytics leaders, business analysts, and subject matter experts to translate approved business requirements into governed metrics, scalable data models, intuitive dashboards, automated analytical workflows, and explicit technical and user documentation. The role works independently on defined assignments, manages assigned deliverables, identifies and escalates risks or ambiguity, and collaborates with more experienced team members on higher-complexity solutions.

Responsibilities

Delivery &

- Execution

- Support the lifecycle of analytics products from requirements clarification and solution design through development, deployment, adoption, ongoing support, and enhancement.
- Complete assigned deliverables with appropriate direction, translating approved requirements into technical outputs and development tasks.
- Maintain assigned backlog items, communicate progress, and balance new development with production support and technical-debt reduction.
- Identify delivery risks, data limitations, technical dependencies, and unclear requirements and escalate them in a timely manner.
- Review deliverables before release for technical accuracy, usability, data quality, governance alignment, and operational supportability.
- Participate in peer review, knowledge sharing, and the consistent application of documentation, testing, and development standards.

BI Development &

- Analytics Products

- Design, develop, test, publish, maintain, and continuously improve governed dashboards, scorecards, reports, analytical applications, and self-service analytics solutions in Power BI.
- Apply the approved analytics design system, including established standards for layout, navigation, typography, visual hierarchy, color, accessibility, interaction patterns, and reusable components; obtain approval before introducing exceptions.
- Use reusable BI components, templates, measures, and solution patterns that improve consistency, scalability, and development efficiency.
- Perform ad hoc analysis and help convert recurring requests into scalable, automated, and maintainable analytics products when appropriate.
- Support product-adoption monitoring, stakeholder-feedback review, and solution improvements that increase usability, trust, and business value.

Data Preparation, Modeling &

- Quality

- Develop and maintain analytical datasets, dimensional models, and semantic models in BigQuery to provide consistent, reusable, understandable, and performant business metrics.
- Write SQL to transform, combine, validate, reconcile, and analyze large or complex datasets while considering performance, maintainability, and cloud costs.
- Use Python and pandas to profile, cleanse, reshape, validate, reconcile,



and analyze data and to automate repeatable data-preparation, quality, and reporting processes.
- Partner with data analysts, data architects, and the Data Office to ensure analytical datasets and models support approved business requirements and BI use cases.
- Execute testing and monitoring for data accuracy, completeness, timeliness, consistency, and usability.
- Investigate data and reporting defects, document findings, and implement or support corrective actions.

Stakeholder Partnership &

- Requirements

- Partner with Business Analysts during requirements clarification to understand business questions, reporting needs, required metrics, solution design, and success measures.
- Support acceptance criteria, user acceptance testing, demonstrations, training materials, release communications, and adoption activities.
- Communicate delivery status, risks, assumptions, dependencies, data limitations, and timelines clearly to technical and nontechnical stakeholders.
- Escalate unresolved requirements, conflicting definitions, technical constraints, and delivery concerns to the appropriate Business Analyst or HR Analytics leader.

Documentation, Governance &

- Production Readiness

- Maintain clear documentation for data sources, metric definitions, calculation logic, lineage, semantic models, dashboard functionality, assumptions, known limitations, testing, deployment, and support procedures.
- Use only approved, governed metrics in analytics products and align business definitions, calculation logic, and terminology with the appropriate Data Stewards before release.
- Follow established standards for version control, peer review, modular development, testing, deployment, release management, documentation, security, privacy, and data retention.
- Support deployment, post-release validation, production monitoring, incident investigation, and ongoing maintenance of analytics products.
- Protect confidential HR and workforce information through approved access controls, data-handling practices, security requirements, and privacy and compliance standards.

AI-Enabled Productivity &

- Responsible Analytics

- Use approved AI-enabled tools to support development activities such as draft SQL and DAX patterns, calculation logic, documentation, metadata summaries, test scenarios, quality checks, and report narrative drafts.
- Validate AI-assisted outputs for technical accuracy, completeness, business context, data sensitivity, and governance alignment before use or release.
- Follow responsible AI, privacy, security, and HR-data handling requirements, including restrictions on entering sensitive information into unapproved tools.

Education &

- Experience

- Bachelor's degree in Business, Human Resources, Information Systems, Computer Science, Data Analytics, Statistics, Engineering, or a related field; equivalent experience may be considered.
- 1+ years of relevant experience developing business intelligence, analytics, data products, or decision-support solutions.




- Experience completing defined analyses, technical deliverables, reporting solutions, or process improvements with cross-functional teams.
- Experience using Python and pandas for data preparation, validation, analysis, and automation.
- Demonstrated experience using SQL and working with large, complex, or cloud-based analytical datasets.
- Experience developing Power BI solutions, including DAX, semantic models, reusable measures, data visualization, and performance optimization.
- Experience working from approved requirements, validating outputs, and communicating risks, dependencies, or technical limitations to Business Analysts and HR Analytics leaders.
- Experience designing clear, usable dashboards that support business questions, performance monitoring, and decision-making.
- Experience identifying data discrepancies, troubleshooting reporting issues, documenting findings, and explaining data limitations.
- Strong written and verbal communication skills with the ability to translate approved reporting requirements into technical and visual outputs.
- Demonstrates attention to detail, documentation discipline, ability to manage multiple deliverables, and foundational AI literacy, including responsible use of approved AI tools for productivity, documentation, code assistance, and quality checks.

Must Have Skills

- Experience with HR, workforce, talent, payroll, employee relations, shared services, or HR operations data.
- Exposure to Workday, Oracle HCM, PeopleSoft, ServiceNow, or other enterprise HR platforms.
- Experience with Power BI data models, DAX, Tableau calculations, semantic models, or similar BI modeling capabilities.
- Exposure to cloud data platforms or modern analytics environments such as Snowflake, Azure, Databricks, or Google Cloud.
- Prior experience in healthcare, shared services, global capability centers, or other highly regulated environments.
- Exposure to prompt engineering, AI-assisted documentation, analytics automation, or responsible AI governance practices.
- Basic experience with Git, Agile delivery, Jira, Confluence, testing documentation, or release management practices.

Nice To Have Skills

- Exposure to prompt engineering, AI-assisted documentation, analytics automation, or responsible AI governance practices.
- Basic experience with Git, Agile delivery, Jira, Confluence, testing documentation, or release management practices.

Licenses, Certifications &

- Training

- Preferred: Microsoft Power BI Data Analyst Associate, Tableau Desktop Specialist, SQL certification, cloud data fundamentals certification, or equivalent BI/analytics training.
- Preferred: Responsible AI, data privacy, data governance, or HR data handling training.

Knowledge, Skills, Abilities, Behaviors

- Demonstrates curiosity, ownership, and sound judgment when working with HR data, systems, processes, and stakeholders.
- Communicates status, assumptions, risks, and limitations clearly without overstating what the data, process, or technology can support.
- Works collaboratively across HR Analytics, technology, data, product, operations, and transformation teams in a matrixed environment.
- Protects confidential HR and workforce information and follows internal privacy, security, data governance, and compliance expectations.
- Maintains change awareness, customer focus, and a continuous improvement mindset while balancing multiple priorities.

📌 Associate II - BI Development (Hyderabad)
🏢 HCA Healthcare - India
📍 Hyderabad