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REQUIREMENT_ID_1599 β€’ 3-DAY_ACTIVE_POLICY

Business & Operations Analyst

Company
Company HP Inc.
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 7 LPA
Location
Location Bengaluru, Karnataka, India
Posted Date
Posted Date Oct 06, 2026
Advanced Excel Power BI Data Analytics Dashboard Development Business Reporting Stakeholder Management PowerPoint Presentation Skills SQL Power Query Power Automate JIRA
πŸ“–
Placement Paper Practice Open Resource β†—
Provides sample questions and case studies to prepare for HP’s analytical and business scenario interviews.
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Technical Skill Enhancement Open Resource β†—
Offers tutorials and exercises to strengthen data analytics and Power BI skills relevant to HP roles.
πŸ“–
Interview Preparation Guide Open Resource β†—
Contains interview questions, answers, and tips tailored for HP analyst positions.
πŸ“–
Coding Practice Platform Open Resource β†—
Helps sharpen problem‑solving and algorithmic thinking for technical rounds at HP.

Bachelor’s degree in any discipline (preferably Business, Finance, Engineering, or IT) with a minimum of 60% or 6.5 CGPA. No backlogs allowed. Eligible batches: 2025, 2026, 2027.

1
Round 1: HR/Recruiter Screening
2
Round 2: Technical/Functional Assessment (Data & Analytics)
3
Round 3: HR/Manager Interview
HP is a global technology leader that delivers innovative products and solutions across computing, printing, and enterprise services. With a presence in over 170 countries, HP has built a culture of customer obsession, continuous learning, and inclusive teamwork. The company’s Bengaluru hub is a key center for product engineering, research, and operations, driving growth in emerging markets and supporting a diverse workforce of more than 10,000 employees. The Business & Operations Analyst role sits at the intersection of data science, finance, and operations. As a key member of the IDC Planning & Operations team, you will transform complex business and operational data into actionable insights that guide leadership decisions on investments, resource allocation, and program execution. Your work will directly influence how the organization scales its product engineering capabilities, optimizes headcount, and manages spend across multiple business units. Key responsibilities include: 1. Building and maintaining executive dashboards, scorecards, and operational MIS using Power BI and Excel. 2. Developing KPI frameworks and performance tracking mechanisms for organizational and program effectiveness. 3. Monitoring actual versus plan performance across headcount, operating expenses, project investments, and organizational goals. 4. Conducting trend analysis, variance analysis, and root cause investigations to identify opportunities and risks. 5. Generating actionable insights that support leadership decision‑making. 6. Supporting monthly, quarterly, and annual business reviews through analytics and reporting. 7. Assisting spend planning and forecasting activities, and analyzing actual versus planned headcount, spend, and operational metrics. 8. Tracking hiring progress, onboarding metrics, workforce capacity, utilization, and resource mix. 9. Preparing business review presentations and consolidating metrics across engineering, finance, and operations teams. 10. Identifying opportunities to automate reporting and operational processes, improving data quality and reporting efficiency. The tech stack revolves around advanced Excel, Power BI, Power Query, Power Automate, SQL, and JIRA. You will collaborate with cross‑functional stakeholders, including finance, engineering, and HR, to ensure data integrity and alignment with business objectives. Growth path: Starting as an analyst, you can progress to senior analyst, business analyst lead, or data analytics manager, with opportunities to move into product strategy or operations leadership roles. Why join HP? You’ll work in a globally recognized brand that values innovation, offers competitive compensation, and provides a collaborative environment where your insights directly impact business outcomes. HP’s commitment to diversity, sustainability, and employee development ensures a rewarding career trajectory.

HP Inc. β€” Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
HP Inc. Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for HP Inc. and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
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 (Advanced Excel, Power BI, Data Analytics, Dashboard Development, Business Reporting, Stakeholder Management, PowerPoint Presentation Skills, SQL, Power Query, Power Automate, JIRA) & 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.
What is the difference between WHERE and HAVING clauses in SQL? Answer β–Ό
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 β–Ό
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 β–Ό
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 β–Ό
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 β–Ό
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.
Why do you want to join HP Inc. as a Business & Operations Analyst?
Preparation Tip: Highlight HP Inc.'s market reputation, recent tech innovations, and how your skills in Advanced Excel directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: 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?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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