Analyst I - BI Development

Darwinbox Digital Solutions Pvt. Ltd.; India; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Darwinbox Digital Solutions Pvt. Ltd. is seeking a Senior BI Developer to design, deliver, document, and continuously improve trusted analytics products for HR.

You will own high-complexity analytics from discovery through retirement and mentor teammates while partnering with HR Analytics leaders to translate questions into governed metrics and scalable data models. You will design dashboards and self-service analytics in Power BI, craft reusable components, perform complex SQL and Python data

Qualifications

• 5+ years of experience developing business intelligence, analytics, data products, or decision-support solutions.
• Experience leading a defined workstream, analysis, product, or delivery with cross-functional stakeholders.
• Experience mentoring others and improving team standards, templates, and quality practices.
• Experience using Python and pandas for data preparation, validation, analysis, and automation.
• Demonstrated experience with advanced SQL and large, complex or cloud-based analytic datasets.
• Experience with Power BI capabilities, including DAX, semantic models, and deployment pipelines.

Responsibilities

• Own end-to-end lifecycle of complex analytics products from discovery to retirement.
• Lead major deliverables or workstreams with limited oversight and define scope and success measures.
• Manage backlogs, communicate scope, and balance new development with reliability and support.
• Identify risks, data limitations, and dependencies; propose practical mitigations.
• Review deliverables for technical accuracy, usability, and governance alignment.
• Mentor junior team members and reinforce documentation, testing, and development standards.

Skills

Python & pandas

SQL

Power BI

Data modeling

Analytics product design

Data visualization

Cloud data platforms

Governance & data quality

Education

Bachelor's degree in Business, Human Resources, Information Systems, Computer Science, Data Analytics, Statistics, Engineering, or related field

Tools

Git

Jira

Azure DevOps

Confluence

Job description

The Senior BI Developer is responsible fordesigning, delivering, documenting, and continuously improving trustedanalytics products that support the operational effectiveness of the HumanResources Group. This role owns higher-complexity solutions from discoveryand requirements definition through data preparation, semantic modeling,visualization, release, adoption, ongoing support, and retirement.

The Senior BI Developer partners with HR Analyticsleaders, business analysts, and subject matter experts to translate businessquestions into governed metrics, scalable data models, intuitive dashboards,automated analytical workflows, and clear technical and user documentation.The role operates with a high degree of independence, leads majordeliverables or workstreams, resolves ambiguity, mentors less experiencedteam members, and manages HR analytics stakeholder expectations.

Responsibilities:

Senior-LevelOwnership & Delivery Leadership

• Own the end-to-end lifecycle ofhigher-complexity analytics products, from discovery and solution designthrough development, deployment, adoption, ongoing support, enhancement, andretirement.
• Lead major deliverables or workstreams withlimited oversight, translating ambiguous stakeholder needs into clear scope,success measures, requirements, technical outputs, delivery plans, andrecommendations.
• Manage product backlogs, communicate scope andtradeoffs, demonstrate progress, and balance new development withreliability, production support, and technical-debt reduction.
• Identify delivery risks, data limitations,technical dependencies, and stakeholder-alignment issues early and recommendpractical mitigation actions.
• Review deliverables before release fortechnical accuracy, usability, data quality, governance alignment,stakeholder readiness, operational supportability, and business value.
• Mentor less experienced team members throughtechnical guidance, peer review, coaching, and reinforcement ofdocumentation, testing, and development standards.

BI Development & Analytics Products

• Design, develop, test, publish, maintain, andcontinuously improve governed dashboards, scorecards, reports, analyticalapplications, and self-service analytics solutions in Power BI.
• Apply the approved analytics design system,including established standards for layout, navigation, typography, visualhierarchy, color, accessibility, interaction patterns, and reusablecomponents; obtain approval before introducing exceptions.
• Create reusable BI components, templates,measures, and solution patterns that improve consistency, scalability, anddevelopment efficiency.
• Perform complex ad hoc analysis and convertrecurring requests into scalable, automated, and maintainable analyticsproducts when appropriate.
• Monitor product adoption, gather stakeholderfeedback, and improve solutions to increase usability, trust, and businessvalue.

Data Preparation, Modeling & Quality

• Develop and optimize analytical datasets,dimensional models, and semantic models in BigQuery to provide consistent,reusable, understandable, and performant business metrics.
• Write advanced SQL to transform, combine,validate, reconcile, and analyze large or complex datasets while optimizingperformance, maintainability, and cloud costs.
• Use Python and pandas to profile, cleanse,reshape, validate, reconcile, and analyze data and to automate repeatabledata-preparation, quality, and reporting processes.
• Partner with data analysts, data architects,and the Data Office to ensure analytical datasets and models support approvedbusiness requirements and BI use cases.
• Establish testing and monitoring for dataaccuracy, completeness, timeliness, consistency, and usability.
• Investigate data and reporting defects,identify root causes, document findings, and implement or coordinate durablecorrective actions.

Stakeholder Partnership & Requirements

• Partner with Business Analysts duringdiscovery to clarify business questions, reporting needs, required metrics,solution design, and success measures.
• Define or support acceptance criteria, useracceptance testing, demonstrations, training materials, releasecommunications, and adoption activities.
• Communicate delivery status, risks,assumptions, dependencies, data limitations, and timelines clearly totechnical and nontechnical stakeholders.

Documentation, Governance & Production Readiness

• Maintain clear documentation for data sources,metric definitions, calculation logic, lineage, semantic models, dashboardfunctionality, assumptions, known limitations, testing, deployment, andsupport procedures.
• Use only approved, governed metrics inanalytics products and align business definitions, calculation logic, andterminology with the appropriate Data Stewards before release.
• Apply established standards for versioncontrol, peer review, modular development, testing, deployment, releasemanagement, documentation, security, privacy, and data retention.
• Protect confidential HR and workforceinformation 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 acceleratedevelopment activities such as draft SQL and DAX patterns, calculation logic,documentation, metadata summaries, test scenarios, quality checks, and reportnarrative drafts.
• Validate all AI-assisted outputs for technicalaccuracy, completeness, bias, business context, data sensitivity, andgovernance alignment before use or release.
• Follow responsible AI, privacy, security, andHR-data handling requirements, including restrictions on entering sensitiveinformation into unapproved tools.

Education & Experience:

• Bachelor's degreein Business, Human Resources, Information Systems, Computer Science, DataAnalytics, Statistics, Engineering, or a related field; equivalent experiencemay be considered.
• 5+ years of relevant experience developingbusiness intelligence, analytics, data products, or decision-supportsolutions.
• Experience leadinga defined workstream, analysis, product, technical deliverable, processimprovement, reporting solution, or change initiative with cross-functionalstakeholders.
• Experiencemering others, improving team standards, or contributing to repeatablemethods, documentation, templates, or quality practices.
• Experience using Python and pandas for datapreparation, validation, analysis, and automation.
• Demonstrated experience using advanced SQL andworking with large, complex, or cloud-based analytical datasets.
• Experience with advanced Power BIcapabilities, including DAX, semantic models, reusable measures, deploymentpipelines, and performance optimization.

Nice to Have Skills

• Experience with HR, workforce, talent,payroll, employee relations, shared services, or HR operations data.
• Experience with enterprise HR and workforceplatforms such as Workday, Oracle HCM, PeopleSoft, or ServiceNow HR ServiceDelivery.
• Experience with Git, code review, automatedtesting, release management, Jira, Azure DevOps, Confluence, or comparabledelivery tools.
• Prior experience in healthcare, a globalcapability center, shared services, or another highly regulated environment.

Licenses, Certifications & Training:

• Preferred:Microsoft Power BI Data Analyst Associate, SQL certification, cloud datafundamentals certification, or equivalent BI/analytics training.
• Preferred:Responsible AI, data privacy, data governance, or HR data handling training.

Knowledge, Skills, Abilities, Behaviors:

• Demonstratescuriosity, ownership, and sound judgment when working with HR data, systems,processes, and stakeholders.
• Maintains documentation discipline, changeawareness, customer focus, and continuous improvement mindset while balancingmultiple priorities.