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REQUIREMENT_ID_2424 β€’ 3-DAY_ACTIVE_POLICY JD

HR Data Analytics & Digital Solutions Analyst

Company
Company Atlas Copco Group
Type
Opportunity Type Internship
Salary
Stipend / Salary 5 LPA - 7 LPA
Location
Location Pune, India
Posted Date
Posted Date Today
Apply on Official Website β†— 🀝 Connect Recruiter β†—
AT
Atlas Copco Group Technical Recruiter
Talent Acquisition Partner
🏒 Atlas Copco Group β€’ Direct Recruiter Email: recruiter@atlascopcogroup.com
Power BI DAX Power Query Advanced Excel Data Analysis Data Modelling Microsoft 365 Power Automate AI tools SuccessFactors Communication Stakeholder Management
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Aptitude Practice Questions Open Resource β†—
Helps you sharpen quantitative and logical reasoning skills essential for the initial screening round at Atlas Copco.
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Company Interview Preparation Guide Open Resource β†—
Provides insights into common interview patterns and questions asked by multinational firms like Atlas Copco.
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Comprehensive Interview Prep Resource Open Resource β†—
Offers curated notes, mock interviews and tips to tackle HR and technical rounds for analytics roles.
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Algorithm and Data Structure Problems Open Resource β†—
Useful for practicing problem‑solving and data manipulation tasks that may appear in technical assessments.

Bachelor's degree in Business Administration, Human Resources, Computer Science, Engineering or related field; Minimum 60% aggregate (or CGPA 6.0/10); Fresh graduates of 2024‑2026 batches; No active backlogs; Strong analytical mindset and willingness to learn new technologies.

1
Round 1: Telephonic HR screening
2
Round 2: Technical interview (Power BI, data analytics, Excel)
3
Round 3: Managerial interview (case studies, problem‑solving)
4
Round 4: HR final interview (cultural fit, compensation discussion)
Atlas Copco Group is a global industrial leader with a heritage spanning more than 150 years. The company designs, manufactures and services compressors, vacuum solutions, generators, pumps, power tools and assembly systems for customers in over 180 countries. With a strong focus on sustainability, innovation and employee development, Atlas Copco has consistently been recognized as a top employer in many markets, including India. The organization encourages a culture of curiosity, collaboration and continuous improvement, offering its workforce opportunities to work on cutting‑edge technologies and global projects. The HR Data Analytics & Digital Solutions Analyst role sits within the Compensation, Benefits and HR Digitalisation team and reports to the HR Digitalisation Manager. As a fresher, you will be entrusted with turning raw workforce data into actionable insights that drive strategic decisions across the business. You will also help design, build and maintain digital solutions that streamline HR processes, making them more efficient and user‑friendly. This hybrid position allows you to split your time between the vibrant Global Business Solutions sites in Brno and Pune and remote work, giving you exposure to both international and Indian work environments. Key responsibilities include: 1. Analyzing workforce data to uncover trends, insights and opportunities for workforce planning. 2. Designing, developing and maintaining Power BI dashboards, reports and data models that deliver accurate people analytics. 3. Preparing and validating regular HR reports such as headcount, FTE, attrition and absence metrics. 4. Investigating data quality issues, implementing controls and collaborating with data owners to improve accuracy. 5. Automating repetitive HR processes using Microsoft 365, Power Automate and related tools. 6. Supporting the rollout and governance of approved AI solutions and digital tools within HR. 7. Gathering business requirements, translating them into technical specifications and ensuring solutions meet stakeholder expectations. 8. Communicating complex analytical findings in simple language to non‑technical audiences. 9. Maintaining documentation of data models, dashboards and automation workflows. 10. Continuously learning new analytics techniques and staying updated on HR technology trends. Tech stack: Power BI (Power Query, DAX), Advanced Excel, Microsoft 365 suite, Power Automate, SuccessFactors (HR:Link), AI/ML tools, SQL basics, data visualization best practices. Growth path: Starting as an analyst, you can progress to Senior Analyst, HR Digital Solutions Lead, HR Analytics Manager and eventually to strategic HR Business Partner roles, with opportunities to work on global projects and cross‑functional initiatives. Why join Atlas Copco? The company offers a supportive environment that values curiosity, provides structured learning programs, and encourages employees to take ownership of impactful projects. You will work alongside seasoned professionals, gain exposure to international best practices, and contribute to solutions that directly influence the organization’s talent strategy. Flexible hybrid work, a strong emphasis on work‑life balance, and a clear career progression roadmap make this an attractive launchpad for a career in HR analytics and digital transformation.

Atlas Copco Group 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 🎯
Atlas Copco Group Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Atlas Copco Group 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 (Power BI, DAX, Power Query, Advanced Excel, Data Analysis, Data Modelling, Microsoft 365, Power Automate, AI tools, SuccessFactors, Communication, Stakeholder 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
Atlas Copco Group 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 Atlas Copco Group as a HR Data Analytics & Digital Solutions Analyst?
Preparation Tip: Highlight Atlas Copco Group's market reputation, recent tech innovations, and how your skills in Power BI 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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