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REQUIREMENT_ID_1655 β€’ 3-DAY_ACTIVE_POLICY

HR Operations Coordinator

Company
Company Bakertilly
Type
Opportunity Type Internship
Salary
Stipend / Salary 3.5 LPA
Location
Location Bangalore - Cherry Hills, KA
Posted Date
Posted Date Yesterday
HRIS Workday Microsoft Office SharePoint data entry attention to detail multitasking customer service communication confidentiality
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Aptitude and Reasoning Practice Open Resource β†—
Helps sharpen logical reasoning and quantitative skills, essential for HR data accuracy and problem solving at Baker Tilly.
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Interview Preparation Guide Open Resource β†—
Provides insights into common interview questions and strategies to showcase HR knowledge and soft skills.
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Career Development Resources Open Resource β†—
Offers guidance on building a career in HR and people operations, useful for understanding growth paths at Baker Tilly.
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Coding and Problem Solving Practice Open Resource β†—
Enhances analytical thinking and attention to detail, beneficial for handling HRIS data and process automation.

Bachelor’s degree in Human Resources, Business Administration, Commerce or related field. Minimum 60% marks in aggregate. No backlog policy; however, any pending backlogs must be cleared before joining. Candidates with 1–2 years of HR/People Operations exposure or relevant internships are preferred.

1
Round 1: HR screening
2
Round 2: HR interview (technical & behavioral)
3
Round 3: HR final interview
Baker Tilly Advisory, a global network of independent accounting and business advisory firms, is a leading name in the advisory, tax and assurance space. With operations spanning North America, South America, Europe, Asia and Australia, the firm leverages a vast pool of 43,000 professionals to deliver innovative solutions to clients worldwide. The Indian arm, Baker Tilly India, operates from major financial hubs such as New Delhi, Mumbai, Bengaluru and Hyderabad, providing a dynamic environment for professionals to grow and impact real business outcomes. The HR Operations Coordinator role, based in Bengaluru’s Cherry Hills campus, is a full‑time entry‑level position designed for recent graduates or early‑career professionals looking to build a career in people operations. The role focuses on day‑to‑day HR transactional work, ensuring accurate and timely processing of new hires, promotions, terminations and data updates in the Workday HRIS. The coordinator will also serve as the first line of support for employees via the People Solutions Helpdesk, handling queries related to HR processes, policies and documentation. Key responsibilities include: 1. Processing new‑hire, change and termination transactions in Workday. 2. Maintaining employee records and ensuring data integrity. 3. Drafting and managing new‑hire and promotion acknowledgements and agreements. 4. Conducting periodic data and process checks, flagging discrepancies. 5. Providing Level‑1 support on the People Solutions Helpdesk. 6. Escalating complex issues to the People Solutions team. 7. Assisting with People Solutions projects, intranet updates and certification activities. 8. Collaborating with internal teams to understand and fulfill HR requests. 9. Contributing process improvement ideas. 10. Upholding confidentiality and professionalism in all interactions. Tech stack: Workday, Microsoft Office Suite, SharePoint (preferred). The role offers exposure to enterprise HRIS, cross‑functional collaboration and a clear growth path to senior HR operations roles, HR business partner or HRIS analyst positions. Why join Baker Tilly? The firm offers a supportive learning culture, structured onboarding, mentorship, and opportunities to work on diverse client engagements. Employees enjoy a healthy work‑life balance, competitive compensation, and a global network that encourages continuous learning and career progression. Overall, the HR Operations Coordinator role is ideal for individuals who thrive in a fast‑paced environment, have a keen eye for detail, and are passionate about delivering exceptional employee experience.

Bakertilly β€” AI & Machine Learning 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 🎯
Bakertilly Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Bakertilly 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, Microsoft Office, SharePoint, data entry, attention to detail, multitasking, customer service, communication, confidentiality) & 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
Bakertilly Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the bias-variance tradeoff and how do you prevent overfitting? Answer β–Ό
Model Answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer β–Ό
Model Answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer β–Ό
Model Answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer β–Ό
Model Answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Why do you want to join Bakertilly as a HR Operations Coordinator?
Preparation Tip: Highlight Bakertilly'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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