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REQUIREMENT_ID_1466 β€’ 3-DAY_ACTIVE_POLICY

Associate - Reporting & Analytics

Company
Company Deloitte
Type
Opportunity Type Internship
Salary
Stipend / Salary 6 LPA
Location
Location Hyderabad, Telangana, India
Posted Date
Posted Date Yesterday
Excel PowerPoint Power BI Tableau data cleaning data validation data visualization analytical thinking stakeholder communication basic knowledge of digital learning tools attention to detail
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Graduates with a Bachelor’s degree in Business Analytics, Data Analytics, Computer Science, Information Technology, Management, or related fields. Minimum 60% aggregate (or CGPA 6.0/10). Freshers or candidates with up to 2 years of relevant experience. No active backlogs at the time of joining. Eligible batch years: 2023‑2025. Must have strong English communication skills.

1
Round 1: Online assessment (aptitude & logical reasoning)
2
Round 2: Technical interview (Excel, data handling, visualization concepts)
3
Round 3: HR interview (fitment, communication, motivation)
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. With a strong presence in India, Deloitte’s Hyderabad campus houses the DU: The Leadership Center, a state‑of‑the‑art facility that focuses on nurturing talent, fostering innovation, and driving digital transformation. The firm’s purpose – to make an impact that matters – permeates every project, encouraging employees to deliver value for clients while growing personally and professionally. Deloitte’s inclusive culture celebrates diverse perspectives, promotes continuous learning, and rewards high performance, making it a top destination for fresh graduates seeking a fast‑paced, collaborative environment. The role of Associate – Reporting & Analytics sits within the Global Tax & Legal People & Purpose team. The associate will be the backbone of reporting operations for learning and talent initiatives, ensuring that data is accurate, visualizations are compelling, and insights are actionable. You will work closely with the Global Tax & Legal Assistant Manager and cross‑functional stakeholders to collect, clean, and validate data from multiple sources, build and maintain dashboards, and translate complex metrics into clear PowerPoint decks for senior leadership. Key responsibilities include: 1. Prepare, update and own recurring learning and talent reports, trackers, and dashboards. 2. Gather, clean, validate and reconcile data from disparate systems, flagging any quality issues. 3. Design visual summaries, charts and interactive dashboards using Excel, Power BI or similar tools. 4. Analyse data to surface trends, gaps, anomalies and provide actionable recommendations. 5. Produce PowerPoint‑ready insight packs with concise commentary for stakeholder review. 6. Maintain version control, documentation, and data definitions for reporting consistency. 7. Coordinate with internal stakeholders to capture requirements, clarify data points and follow up on missing information. 8. Support project trackers, action logs and status reports for global learning initiatives. 9. Assist digital learning teams with organizing course assets and updating learning material under guidance. 10. Contribute to newsletters, virtual meeting coordination and other communication activities linked to reporting. Tech stack: Advanced Excel (pivot tables, formulas, charts), PowerPoint, Powerβ€―BI/Tableau (basic), Microsoft Teams, basic exposure to digital learning tools (Camtasia, Articulate 360, Adobe CC). Growth path: Starting as an Associate, high performers can progress to Senior Analyst, Manager, and eventually to senior leadership roles within the People & Purpose or broader Tax & Legal practice. Deloitte invests heavily in up‑skilling through formal training, mentorship, and rotational opportunities across functions. Why join Deloitte? You will work on high‑visibility projects for a global client base, gain exposure to cutting‑edge analytics tools, and benefit from a culture that values learning, diversity, and work‑life balance. The firm’s robust career development programs, strong brand reputation, and competitive compensation make it an ideal launchpad for a career in data analytics and talent management.

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Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

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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 (Excel, PowerPoint, Power BI, Tableau, data cleaning, data validation, data visualization, analytical thinking, stakeholder communication, basic knowledge of digital learning tools, attention to detail) & 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 Associate - Reporting & Analytics?
Preparation Tip: Highlight Deloitte's market reputation, recent tech innovations, and how your skills in Excel 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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