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REQUIREMENT_ID_207 β€’ 3-DAY_ACTIVE_POLICY

Data and Reporting Analyst: Hyderabad

Company
Company Deloitte
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 6-9 LPA
Location
Location Hyderabad, Telangana, India
Posted Date
Posted Date Yesterday
Power BI Power Query DAX Tableau SQL Data Modelling Star Schema Snowflake Schema SQL Server Oracle Snowflake PostgreSQL GitHub Data Validation Performance Tuning Business Analysis
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Deloitte Placement Papers Open Resource β†—
Curated set of past placement papers to help you understand the type of questions asked in Deloitte recruitment.
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Deloitte Recruitment Process Experiences Open Resource β†—
First‑hand experiences from candidates detailing each interview round and preparation tips.
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Deloitte Interview Preparation Guide Open Resource β†—
Comprehensive guide covering common topics, sample questions, and strategies for Deloitte interviews.
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Algorithm Practice Problems Open Resource β†—
Extensive problem set to sharpen coding and problem‑solving skills essential for technical rounds.

Bachelor’s degree in Computer Science, Information Systems, Engineering or related field; minimum 60% aggregate (or CGPA 6.5/10); 4‑5 years of relevant experience in Business Intelligence and data visualisation; no active backlogs; preferably graduated between 2018‑2022; strong analytical and communication skills.

1
Round 1: Online assessment (aptitude & logical reasoning)
2
Round 2: Technical interview (BI concepts, SQL, Power BI/Tableau case studies)
3
Round 3: HR interview (fit, motivation, cultural alignment)
Deloitte is one of the world’s leading professional services firms, offering consulting, audit, tax, and advisory services to a diverse set of clients across industries. In India, Deloitte operates through a network of member firms that combine global expertise with deep local market knowledge, delivering innovative solutions that drive business transformation. The firm is known for its strong emphasis on learning, mentorship, and a culture that encourages curiosity, collaboration, and continuous improvement. With a presence in more than 150 cities worldwide, Deloitte’s Indian offices serve as a hub for cutting‑edge technology projects, data‑driven insights, and strategic consulting for Fortune 500 companies and emerging startups alike. The role of Data and Reporting Analyst in the Solutions Delivery‑Canada team is a senior‑level position that sits at the intersection of data engineering, business intelligence, and client delivery. As a key member of the Data and Reporting team, you will be responsible for turning raw data into actionable visual insights that help business leaders make informed decisions. You will work closely with on‑site stakeholders, data engineers, and other analysts to design, develop, and maintain robust reporting solutions using industry‑standard tools such as Power BI and Tableau. Key Responsibilities: 1. Design and develop interactive dashboards, reports, and data visualisations in Power BI and Tableau. 2. Gather and analyse reporting requirements from business users and translate them into technical specifications. 3. Build and optimise logical and physical data models, including star and snowflake schemas. 4. Write complex SQL queries, stored procedures, and CTEs for data extraction, transformation, and loading. 5. Implement data validation, reconciliation processes, and performance tuning to ensure high‑quality reporting. 6. Manage report security, row‑level security, and access controls across Power BI and Tableau Server/Cloud. 7. Provide deployment support, version control, and documentation for all reporting artefacts. 8. Collaborate with cross‑functional teams to troubleshoot issues and propose design enhancements. 9. Mentor junior analysts on best practices in data modelling and visualisation. 10. Stay updated with emerging BI technologies and recommend adoption where beneficial. Tech Stack: Power BI (Power Query, DAX, row‑level security), Tableau (dashboards, calculated fields, parameters, Tableau Server/Cloud), SQL (joins, sub‑queries, window functions, optimisation), relational databases (SQL Server, Oracle, Snowflake, PostgreSQL), dimensional modelling, GitHub Enterprise, optional Python/Databricks. Growth Path: Starting as a Senior Analyst, you can progress to Lead Analyst, Delivery Manager, and eventually to Solution Architect or Business Intelligence Practice Lead, with ample opportunities for certifications, leadership training, and global mobility. Why Join Deloitte: Deloitte offers a world‑class learning ecosystem, exposure to high‑impact projects for global clients, and a collaborative culture that values diversity and innovation. The firm’s strong brand, competitive compensation, and clear career progression make it an ideal place for data professionals seeking to accelerate their careers.

Deloitte 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 🎯
Deloitte Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Deloitte 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, Power Query, DAX, Tableau, SQL, Data Modelling, Star Schema, Snowflake Schema, SQL Server, Oracle, Snowflake, PostgreSQL, GitHub, Data Validation, Performance Tuning, Business Analysis) & 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
Deloitte 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 Deloitte as a Data and Reporting Analyst: Hyderabad?
Preparation Tip: Highlight Deloitte'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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