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REQUIREMENT_ID_1740 β€’ 3-DAY_ACTIVE_POLICY

Associate - Compensation

Company
Company Baker Tilly
Type
Opportunity Type Internship
Salary
Stipend / Salary 8.5 LPA
Location
Location Bangalore - Cherry Hills, KA
Posted Date
Posted Date Yesterday
HRIS Workday compensation analytics data analysis Excel PowerPoint communication attention to detail confidentiality Microsoft Office analytical skills
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Aptitude and Reasoning Practice Open Resource β†—
Helps sharpen analytical and logical thinking skills essential for compensation analysis.
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Interview Preparation Guide Open Resource β†—
Provides common interview questions and strategies for HR and compensation roles.
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Career Development Resources Open Resource β†—
Offers insights into career paths and skill development for HR professionals.
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Coding and Problem Solving Practice Open Resource β†—
Enhances problem‑solving abilities useful for data analysis and reporting tasks.

Bachelor’s degree in Human Resources, Business Administration, Finance, or related field. Minimum 60% marks (or equivalent CGPA) in the qualifying exam. Candidates should be from the 2026 batch or earlier. No backlog or pending examinations. Ability to handle confidential information is mandatory.

1
Round 1: HR screening
2
Round 2: Technical/HR interview
3
Round 3: HR final
Baker Tilly is a globally recognized advisory, tax and assurance firm that operates across North America, South America, Europe, Asia and Australia. With a parent entity of Baker Tilly US, LLP and a network of 43,000 professionals in 141 territories, the firm offers a wide range of professional services including audit, tax, advisory and consulting. The Bangalore office, located in the Cherry Hills area, is part of the firm’s growing presence in India and serves clients across multiple industries, from technology and manufacturing to financial services and healthcare. The Associate – Compensation role is a key position within the Total Rewards team. The successful candidate will support the administration of the firm’s compensation programs, including annual and mid‑year reviews, market benchmarking, and salary structure maintenance. Working closely with HR Business Partners and business leaders, the associate will provide data‑driven insights, prepare dashboards, and ensure compliance with regulatory and pay‑equity initiatives. Key responsibilities include: 1. Administering annual and mid‑year compensation review processes. 2. Maintaining compensation, job, and organizational data in HR systems. 3. Conducting market pricing and compensation analyses. 4. Assisting with job evaluations and salary benchmarking. 5. Partnering with HR Business Partners to deliver compensation reporting. 6. Supporting pay transparency, pay equity and regulatory compliance. 7. Preparing compensation reports, dashboards and analyses. 8. Identifying process improvement opportunities. 9. Participating in special projects and ad‑hoc tasks. 10. Ensuring data accuracy and confidentiality. Tech stack and tools: Workday Advanced Compensation Module (preferred), Microsoft Office Suite (Excel, PowerPoint, Word, Outlook), HRIS systems, data analysis tools. Growth path: The role offers a clear trajectory from Associate to Senior Associate, then to Compensation Manager and eventually to Compensation Director or Head of Total Rewards. Continuous learning opportunities, certifications in compensation and benefits, and exposure to global best practices are integral to career progression. Why join Baker Tilly? The firm’s global footprint provides exposure to international clients and cross‑border projects. Employees benefit from a collaborative culture, structured learning programs, mentorship, and a strong emphasis on work‑life balance. The compensation package is competitive, and the firm’s commitment to diversity and inclusion makes it an attractive workplace for fresh talent. Overall, the Associate – Compensation role is ideal for recent graduates who are analytical, detail‑oriented, and eager to build a career in human resources and compensation within a reputable global firm.

Baker Tilly 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 🎯
Baker Tilly Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Baker Tilly 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 (HRIS, Workday, compensation analytics, data analysis, Excel, PowerPoint, communication, attention to detail, confidentiality, Microsoft Office, analytical skills) & 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
Baker Tilly 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 Baker Tilly as a Associate - Compensation?
Preparation Tip: Highlight Baker Tilly's market reputation, recent tech innovations, and how your skills in HRIS 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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