Senior Analyst - Transformation - Consulting Product Analyst

Darwinbox Digital Solutions Pvt. Ltd.; India; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Darwinbox Digital Solutions Pvt. Ltd. is seeking a Senior Analyst - Transformation to lead HR transformation and analytics initiatives across multiple stakeholders.

You will provide advisory leadership, shape solution directions, and set governance standards, while partnering with product, transformation, and HR teams to drive data-informed decisions. The role requires strong analytical capabilities, experience with product analytics, and the ability to translate insights into actionable

Qualifications

• Bachelor's degree in Business, HR, Information Systems, Computer Science, Data Analytics, Statistics, Engineering, or a related field; equivalent experience.
• Typically 5+ years of experience leading cross-functional initiatives and advisory engagements.
• Experience influencing leaders and presenting recommendations to senior managers.
• Experience establishing standards and governance across teams.
• Experience with product analytics, HR tech, or digital product support.
• Strong analytical skills to interpret product usage and performance metrics.

Responsibilities

• Serve as a trusted advisor on complex HR Transformation & Analytics initiatives that span multiple stakeholders, systems, functions, or business outcomes.
• Shape solution direction, operating approach, delivery standards, analytical methods, technical patterns, or governance practices for assigned areas of expertise.
• Lead complex discovery, problem framing, impact analysis, stakeholder alignment, and recommendation development.
• Influence leaders and cross-functional partners through structured analysis and executive communication.
• Establish reusable practices, playbooks, templates, and decision frameworks across the HR Transformation & Analytics organization.

Tools

Power BI

Tableau

Google Analytics

Job description

Senior Analyst - Transformation - Consulting Product Analyst India ..+ 1 Full Time Employment

Job Description

Position Summary:

TheConsulting Product Analyst provides advanced, cross-functional advisoryleadership for HR Transformation & Analytics. This role is used forcomplex, ambiguous, or enterprise-impacting work that requires deepfunctional expertise, strong stakeholder influence, standards-setting, andthe ability to connect business outcomes, data, technology, process, product,and AI-readiness considerations across multiple teams or portfolios.

Responsibilities:

Consulting-Level Advisory & Cross-FunctionalLeadership

• Serve as a trustedadvisor on complex HR Transformation & Analytics initiatives that spanmultiple stakeholders, systems, functions, or business outcomes.
• Shape solutiondirection, operating approach, delivery standards, analytical methods,technical patterns, or governance practices for assigned areas of expertise.
• Lead complexdiscovery, problem framing, impact analysis, stakeholder alignment, andrecommendation development where ownership or solution paths are not yetclear.
• Influence leadersand cross-functional partners through structured analysis, executive-readycommunication, trade-off framing, and practical implementationrecommendations.
• Establish reusablepractices, playbooks, quality standards, templates, and decision frameworksthat improve consistency and maturity across the HR Transformation &Analytics organization.

Product Usage & Adoption Analytics

• Track productadoption, active usage, feature utilization, completion rates, drop-offs,engagement patterns, and user segments.
• Analyze userjourneys, friction points, workflow bottlenecks, and behavior patterns acrossHR digital products and analytics experiences.
• Develop productperformance summaries that help teams understand what is working, what isnot, and what should be improved.

Measurement, Experimentation & Value Tracking

• Support productKPI definitions, success measures, baselines, adoption targets, andpost-release performance tracking.
• Analyze pilots,releases, experiments, enhancements, and process changes to determine impactand value delivered.
• Partner withproduct owners and analysts to translate findings into roadmaprecommendations and prioritization inputs.
• Define analyticsrequirements for product dashboards, event tracking, data capture, andreporting views.
• Validate productdata, document definitions, and identify gaps in telemetry, source systems,or user feedback.
• Communicateinsights to product, transformation, operations, change, and leadershipstakeholders in a clear and action-oriented manner.

AI-Augmented Product Analytics

• Use approved AItools to support feedback clustering, insight drafting, product questionframing, experiment summaries, and user behavior hypotheses.
• ValidateAI-assisted findings against product data, user feedback, and businesscontext before making recommendations.
• Identifyopportunities to embed AI-assisted insight, self-service analytics, orintelligent product experiences into HR products.

AI Preparedness Expectations:

• Shapes responsibleAI adoption patterns for assigned domains, including appropriate use cases,controls, human review expectations, validation approaches, and stakeholderreadiness.
• Advises leadersand cross-functional partners on how AI can improve productivity, insightgeneration, engineering, analytics delivery, process maturity, productoutcomes, and workforce readiness.
• Establishes orcontributes to reusable AI guidance, prompt patterns, quality checks,governance artifacts, and adoption practices that reduce risk and improveconsistency.
• Builds advancedcapability in AI-enabled operating models, responsible AI governance,AI-assisted analytics and engineering, and future‑of‑work implications overthe next three years.
• Uses AI toaccelerate feedback synthesis, insight generation, journey analysis, andrecommendation drafting while validating against product evidence.
• UnderstandsAI-enabled product analytics, privacy limits, and the need for transparentmeasurement definitions.
• Builds capabilityin augmented product analytics, experimentation, behavioral analytics,AI-assisted user research, and intelligent HR product measurement over thenext three years.

Education & Experience:

• Bachelor's degreein Business, Human Resources, Information Systems, Computer Science, DataAnalytics, Statistics, Engineering, or a related field; equivalent experiencemay be considered.
• Typically 5+ yearsof experience in a related environment.
• Experience leadingcomplex cross-functional initiatives, advisory engagements, enterpriseanalytics, technology delivery, transformation workstreams, or processimprovement efforts.
• Experienceinfluencing leaders, resolving ambiguity, framing decisions, and presentingrecommendations to senior managers, directors, or senior directors.
• Experienceestablishing standards, governance practices, reusable frameworks, playbooks,or capability maturity improvements across teams or portfolios.
• Experience withproduct analytics, business analytics, reporting, user behavior analysis,process analytics, HR technology, or digital product support.
• Experienceanalyzing adoption, usage, workflow, operational, or customer/user experiencedata.
• Experiencecreating product performance reports, dashboards, summaries, orrecommendations for product or business stakeholders.

Must Have Skills

• Advanced advisorycapability with the ability to frame ambiguous problems, assess trade-offs,and recommend practical enterprise or cross-functional solutions.
• Strong executivecommunication skills, including the ability to convert complex analysis,process, technology, product, or data issues into clear decisions andactions.
• Demonstratedability to establish standards, governance practices, methods, templates, orplaybooks that improve consistency and maturity across teams.
• Ability toinfluence senior stakeholders and cross-functional partners while balancingbusiness outcomes, risk, feasibility, scalability, and user impact.
• Strong analyticalskills and ability to interpret product usage, adoption, funnel, andperformance metrics.
• Working knowledgeof Excel, SQL, BI tools, product analytics tools, or data visualizationplatforms.
• Ability to defineproduct metrics, document assumptions, validate data, and explainlimitations.
• Product mindsetwith the ability to connect user behavior to experience, process, andbusiness outcomes.
• Strongcommunication skills for translating analysis into actionable productrecommendations.
• Ability to partnerwith product owners, business analysts, change managers, and technical teams.
• Foundational AIliteracy for product insight generation, feedback analysis, narrativedrafting, and quality checks using approved tools.

Nice to Have Skills

• Experienceadvising executive or senior leadership audiences on complex workforce, HR,analytics, product, technology, process, or transformation decisions.
• Experiencedeveloping capability models, roadmaps, governance frameworks, maturityassessments, standards, or enterprise playbooks.
• Experience shapingresponsible AI adoption, data governance, analytics modernization, automationstrategy, or AI-enabled workforce readiness practices.
• Experience with HRsystems, employee experience platforms, service portals, workflow tools,analytics products, or automation products.
• Exposure toproduct analytics tools such as Pendo, Amplitude, Mixpanel, Google Analytics,Adobe Analytics, or in-product telemetry.
• Experience withexperimentation, A/B testing, release measurement, user research, or voice-of-customer analysis.
• Experience withPower BI, Tableau, SQL, Python, R, or statistical analysis tools.
• Prior experiencein healthcare, shared services, HR operations, or regulated environments.
• Exposure to Agileproduct delivery, Jira, Confluence, product road