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Hewlett Packard Enterprise

Builds servers, networking and private cloud

Business Analyst 3

Business OperationsConfirmed live in the last 24 hours
Full-timeChennai, Tamil Nadu, IndiaNo salary listed

About the Job

Requirements

  • 10+ years of relevant experience in business operations, business analysis, workforce planning, capacity or capability planning, professional services operations, PMO, or a related function.
  • A graduate degree, preferably in Business Administration, Operations Management, Commerce, Finance, Human Resources, Data Analytics, or a related discipline.
  • Demonstrated experience in operational governance, performance reporting, stakeholder coordination, and data-driven decision support.
  • Demonstrated experience supporting business strategy and execution, including planning, analytical decision support, initiative tracking, and translating strategic priorities into operational actions.
  • Experience supporting workforce capacity planning, skills or capability planning, training coordination, or resource readiness activities.
  • Strong Microsoft Excel, spreadsheet management, data analysis, and visualization skills; Power BI experience is preferred.
  • Demonstrated practical proficiency with AI and automation tools for analysis, reporting, workflow improvement, or decision support.
  • Strong analytical thinking, attention to detail, structured problem solving, planning, and execution discipline.
  • Excellent written, verbal, presentation, and stakeholder-management skills in a matrixed and geographically distributed organization.

Responsibilities

  • Support the Business Operations rhythm, including operational reviews, scorecards, KPI tracking, action management, and leadership reporting.
  • Partner with Delivery, Finance, Workforce Management, HR, Sales, and technical stakeholders to execute business priorities.
  • Maintain governance calendars, standardized reporting, data controls, and disciplined closure of actions, risks, and dependencies.
  • Analyze operational performance and provide concise insights and recommendations to support leadership decisions.
  • Support business strategy execution by translating leadership priorities into operating plans, metrics, initiatives, and tracked actions.
  • Analyze operational, workforce, capacity, and capability data to identify strategic risks, improvement opportunities, and resource implications.
  • Prepare scenario-based insights and concise management views that support prioritization and business decisions.
  • Monitor strategic initiatives, milestones, dependencies, and expected outcomes through the Business Operations governance rhythm.
  • Support integrated capacity and capability planning by comparing delivery demand, available workforce capacity, skills supply, utilization, location, and readiness.
  • Maintain resource-capacity views and capability inventories by country, technical tower, role, proficiency, and strategic priority.
  • Identify capacity constraints, critical skill gaps, surpluses, and emerging capability requirements; recommend hiring, redeployment, cross-skilling, or training actions.
  • Coordinate with delivery and workforce leaders to monitor agreed workforce and capability actions and their impact on business readiness.
  • Prepare scenario-based views that support quarterly and annual workforce, utilization, and capability planning.
  • Coordinate role-based learning plans, technical enablement, professional certifications, mandatory learning, and capability-development programs.
  • Use capability gaps and demand forecasts to prioritize training interventions and target the appropriate employee populations.
  • Monitor enrollment, completion, certification status, expiry dates, compliance, training investment, and measurable program outcomes.
  • Support training-budget planning, funding requests, utilization tracking, provider coordination, purchasing processes, and reconciliation.
  • Promote knowledge sharing, communities of practice, and reusable learning assets across distributed teams.
  • Manage, reconcile, and analyze operational, workforce, capacity, skills, learning, and certification datasets.
  • Use advanced Microsoft Excel capabilities, including PivotTables, lookups, complex formulas, Power Query, and reporting automation.
  • Develop dashboards and management views using Microsoft Power BI or comparable visualization tools.
  • Improve data definitions, quality, traceability, controls, reporting consistency, and confidentiality.
  • Translate detailed data into trends, risks, opportunities, and clear executive-level narratives.
  • Use AI and automation for business analysis, capacity and capability planning, reporting, forecasting, knowledge synthesis, and process improvement.
  • Apply Microsoft Copilot, Power Automate, Power Query, and Power BI to automate recurring workflows and accelerate insight generation.
  • Identify and implement practical generative AI use cases for data interpretation, scenario development, management summaries, learning support, and stakeholder communications.
  • Partner with data, technology, and process owners to define requirements, validate automated solutions, and drive adoption.
  • Maintain human oversight, source validation, data protection, access controls, and responsible-use practices for AI-generated outputs.
  • Apply structured problem solving and root-cause analysis to operational, data, capacity, skills, and adoption challenges.
  • Simplify processes, reduce manual effort, improve user experience, and establish repeatable operating practices.
  • Communicate with senior leaders, country and delivery managers, technical teams, Finance, HR, employees, and external providers.
  • Drive assigned actions and improvement initiatives through implementation, measurement, and closure.

Desired Qualifications

  • Working knowledge of technology services or professional services delivery, including common technical domains, service-delivery roles, and skills dependencies.
  • Technical knowledge or prior experience working with infrastructure, cloud, networking, security, data, AI, or related technology teams.
  • Professional certification in project management, data analytics, quality, learning and development, or continuous improvement, such as PMP, PRINCE2, Lean Six Sigma, or Microsoft Power BI Data Analyst.
  • Experience with enterprise resource, skills, talent, learning, workforce-planning, or portfolio-management platforms.
  • Exposure to training-provider or vendor coordination and related budget or procurement processes.

About the Company

Hewlett Packard Enterprise

Builds servers, networking and private cloud

Hewlett Packard Enterprise sells servers, storage, networking and hybrid cloud software to large companies, governments and service providers. Its GreenLake platform lets customers run on-premises hardware as a metered cloud service, and its Cray supercomputers run national lab and AI training workloads. The networking business, built on Aruba and Juniper Networks, supplies campus, data-center and routing equipment. Revenue comes from hardware sales, multiyear support contracts, financing and subscriptions. The company traces its roots to Hewlett-Packard, founded in 1939, became a separate public company in 2015 and is headquartered in Houston, Texas.

Company size
10,001+
Company stage
IPO
Headquarters
Houston, TX
Founded
1939

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