JD #2231
Applications open
Internship
HR Data Analytics & Digital Solutions Analyst
Atlascopcogroup
About the role
Atlas Copco Group is a global industrial leader headquartered in Sweden, with a strong presence in India across manufacturing, construction, and mining solutions. The company is known for its innovative products, sustainability focus, and a culture that encourages continuous learning. In India, Atlas Copco operates several technology and service centres, offering fresh graduates a platform to work on cuttingβedge projects that impact industries worldwide. The organisation invests heavily in digital transformation, leveraging dataβdriven insights to improve operational efficiency and customer experience.
As a HR Data Analytics & Digital Solutions Analyst, you will be part of the Human Resources analytics team that partners with business stakeholders to turn raw data into actionable strategies. The role blends analytical rigor with a deep understanding of HR processes, enabling the company to make evidenceβbased decisions on talent acquisition, retention, and workforce planning. You will work closely with senior HR leaders, IT developers, and business analysts to design dashboards, automate reporting, and recommend process improvements.
**Key Responsibilities:**
1. Collect, clean, and validate HR data from multiple sources such as SAP SuccessFactors, Workday, and internal databases.
2. Build interactive Power BI dashboards and reports that visualize workforce metrics like turnover, hiring velocity, and employee engagement.
3. Develop complex DAX measures and Power Query transformations to support adβhoc analytical requests.
4. Perform advanced Excel modelling for scenario analysis, forecasting, and KPI tracking.
5. Translate business questions into analytical frameworks, delivering insights and actionable recommendations.
6. Conduct data quality audits and implement data governance best practices.
7. Gather requirements from HR business partners, document functional specifications, and support the rollout of digital HR solutions.
8. Communicate findings to nonβtechnical audiences through clear visualisations and concise storytelling.
9. Collaborate with IT to integrate new data sources and automate data pipelines.
10. Stay updated on emerging analytics tools and suggest enhancements to the existing tech stack.
**Tech Stack:** Power BI (Data modelling, Power Query, DAX), Advanced Excel, SQL basics, HRIS systems (SAP SuccessFactors, Workday), Tableau (optional), Python/R for advanced analytics (nice to have).
**Growth Path:** Starting as an Analyst, you can progress to Senior Analyst, HR Analytics Lead, and eventually to HR Business Partner or Data Analytics Manager, with opportunities to work on global projects and crossβfunctional initiatives.
**Why Join Atlas Copco?** The company offers a vibrant learning environment, exposure to international best practices, and a clear career trajectory. Fresh graduates benefit from mentorship programs, continuous upskilling, and a collaborative culture that values innovation and employee wellβbeing. Competitive compensation (5β7 LPA) and a supportive workβlife balance make this role an excellent launchpad for a career in HR analytics and digital transformation.
Eligibility & process
Who can apply
Graduates (B.Tech/B.E., B.Sc., B.Com, MBA, MCA) from any stream with a minimum of 60% aggregate (or CGPA 6.5/10). Final year students of the 2026 batch are eligible. No active backlogs at the time of joining. Candidates should have strong analytical aptitude and basic knowledge of HR processes.
Skills & stack
Selection process
- Round 1: Aptitude & Logical Reasoning Test
- Round 2: Technical Interview (Power BI, Excel, HR analytics concepts)
- Round 3: HR Interview (fitment, communication, motivation)
Prep kit
20 resourcesStudy material 4
Aptitude Practice Questions
Curated set of quantitative and logical reasoning problems to sharpen the analytical skills required for the first interview round.
Company Interview Preparation Guide
Comprehensive guide covering typical interview formats, common HR analytics questions, and tips to present yourself confidently.
Comprehensive Interview Prep Resource
Resource with detailed explanations of dataβanalytics concepts, Power BI tutorials, and HR domain knowledge useful for the technical interview.
Algorithm & Data Structure Problems
Practice problems to enhance problemβsolving abilities, useful for logical reasoning and any coding component of the selection process.
Company-specific guides 4
APTITUDE & LOGIC
Aptitude Practice Questions & Online Mock Tests
Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.
COMPANY GUIDE
Atlascopcogroup Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Atlascopcogroup and off-campus tech roles.
MOCK TESTS & PAPERS
Comprehensive Interview Prep Resources & Syllabus
Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.
CODING PRACTICE
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
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 (Power BI, DAX, Power Query, Advanced Excel, Data modelling, SQL basics, HRIS knowledge, Analytical thinking, 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
Atlascopcogroup 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 Atlascopcogroup as a HR Data Analytics & Digital Solutions Analyst?
Highlight Atlascopcogroup's market reputation, recent tech innovations, and how your skills in Power BI directly solve their team's objectives.
Highlight Atlascopcogroup'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.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
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.
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
5 LPA - 7 LPA
Internship
Pune, India
Nov 06, 2026
