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Business Analyst

HP Inc.

  • Bengaluru, Karnataka, India; Chennai, Tamil Nadu, India
  • 5-7 LPA
  • 2 Years
  • Posted Yesterday
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About the role

HP (Hewlett‑Packard) is a global technology leader with a strong presence in India, offering a wide portfolio of hardware, software, and services. The company is known for its culture of innovation, diversity, and a commitment to sustainability. HP’s Indian operations span research, development, manufacturing, and supply chain, providing fresh graduates with exposure to cutting‑edge technologies and large‑scale business processes.

Employees benefit from structured learning programs, mentorship, and a collaborative environment that encourages continuous improvement.

The Business Analyst – Inventory Reconciliation role sits within HP’s Supply Chain & Operations function. As a fresher, you will be responsible for managing end‑to‑end supply chain processes for a country or regional business unit, focusing on inventory analysis, order fulfillment, and EDI (Electronic Data Interchange) variance resolution. You will work closely with cross‑functional teamsβ€”IT, finance, partner operations, and regional plannersβ€”to gather data, build dashboards, and drive process improvements that enhance operational efficiency.

Key Responsibilities

  • Manage supply chain processes such as inventory analysis, order fulfillment, import/export, and shipping with minimal supervision.
  • Compile key performance metrics, generate reports, and analyse data using ERP and BI tools for demand‑supply matching.
  • Support backlog management analysis and provide actionable insights.
  • Gather demand data from country and regional teams for accurate demand planning.
  • Review existing business processes for regional and global planning teams and recommend optimisations.
  • Identify performance gaps, propose improvements, and track impact through KPIs.
  • Build and maintain management dashboards, regional reports, and executive review documents.
  • Communicate process guidelines and requirements to planning teams and conduct training for new hires.
  • Understand HP’s E2E EDI architecture, collaborate with IT and partner systems to fix recurring variance issues.
  • Drive cross‑functional programs to permanently resolve EDI variances and improve supply chain reliability.

Tech Stack & Tools: SAP S/4HANA, Excel/Power BI, SQL for data extraction, basic knowledge of EDI standards (EDIFACT, ANSI X12), and familiarity with project management tools.

Growth Path: Starting as a Business Analyst, you can progress to Senior Analyst, Supply Chain Planning Manager, or specialize in EDI Architecture, Data Analytics, or Operations Excellence. HP offers rotational programs and certifications (e.g., PMP, CPIM) to accelerate career growth.

Why Join HP? You will work in a globally recognised brand that invests heavily in employee development, offers exposure to large‑scale supply chain operations, and provides a supportive environment for fresh talent to make a tangible impact on business outcomes.

Eligibility & process

Who can apply

β€’ Minimum 10th/12th with 60% aggregate (or equivalent CGPA). β€’ Graduation (B.E/B.Tech/B.Sc/M.Sc/BA) in Supply Chain Management, Manufacturing Engineering, Operations Management, Business Administration or related discipline. β€’ 0‑2 years of relevant experience (internships accepted). β€’ No active backlogs at the time of joining. β€’ Batch: 2023‑2026 (freshers graduating in these years are eligible). β€’ Strong analytical mindset and good communication skills.

Skills & stack

Data Analysis SAP S HANA Advanced Excel Power BI SQL Edi Concepts Inventory Management

Selection process

  1. Round 1: Online Assessment (aptitude & logical reasoning)
  2. Round 2: Technical Interview (supply chain concepts, SAP & data analysis)
  3. Round 3: HR Interview (fitment, behavioural questions)

Prep kit

20 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Data Analysis, SAP S, HANA, Advanced Excel, Power BI, SQL, Edi Concepts, Inventory Management) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion HP Inc. Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Model answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
Model answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
Model answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
Model answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Model answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Behavioural & HR questions 3
Why do you want to join HP Inc. as a Business Analyst?
Highlight HP Inc.'s market reputation, recent tech innovations, and how your skills in Data Analysis directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
HP Inc. 5-7 LPA
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