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REQUIREMENT_ID_48 β€’ 3-DAY_ACTIVE_POLICY

Jr. Data Analyst

Company
Company Rezo.ai
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary β‚Ή7–9 LPA estimated
Location
Location Noida
Posted Date
Posted Date Today
SQL Power BI Advanced Excel Data Cleaning Data Visualization Analytical Thinking Communication Problem Solving
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Aptitude Practice Questions & Mock Tests Open Resource β†—
Curated logical, quantitative, and verbal reasoning problems for the initial online screening round.
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Company-Specific Interview Preparation Corner Open Resource β†—
Detailed interview experiences, exam formats, and previous test questions for Rezo.ai and tech roles.
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Technical Placement Cheat Sheets & Question Bank Open Resource β†—
High-yield coding cheat sheets, core CS fundamentals (OOP, DBMS, OS, Networks), and rapid revision guides.
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Algorithm, DSA & Live Code Debugger Practice Open Resource β†—
Hands-on problem sets to improve coding speed and step-by-step memory debugging.

Graduates with B.Tech/B.E. or B.Sc. in Computer Science, Information Technology, Electronics, Statistics or related fields. Minimum 60% aggregate (or CGPA 6.0/10). Eligible batches: 2022‑2025. No active backlogs at the time of joining. Freshers with strong technical projects or internships are encouraged to apply.

Rezo.ai is an emerging artificial‑intelligence startup focused on building conversational platforms that automate customer interactions across voice, chat and messaging channels. Founded by a team of ex‑tech giants, the company leverages natural language processing, speech analytics and real‑time data pipelines to help enterprises improve operational efficiency and customer satisfaction. With its headquarters in Noida and a rapidly expanding client base in fintech, e‑commerce and telecom, Rezo.ai offers a vibrant environment where fresh talent can contribute to cutting‑edge products while learning from seasoned data engineers and product managers. The Jr. Data Analyst role is designed for recent graduates or early‑career professionals who have a strong foundation in data manipulation, reporting and visualization. Reporting to the Lead Data Analyst, you will work closely with product, operations and engineering teams to turn raw operational logs into actionable insights. Your day‑to‑day activities will involve writing efficient SQL queries, cleaning and aggregating large datasets, building interactive Power BI dashboards, and performing ad‑hoc analysis using advanced Excel techniques. You will also be responsible for ensuring data quality before reports are shared with stakeholders and for translating business questions into technical specifications. Key responsibilities include: 1. Write, run, and optimize SQL queries to extract, transform, and load data from relational databases. 2. Design, develop, and maintain Power BI dashboards that visualize key performance indicators and operational metrics. 3. Perform operational analysis on call logs, messaging volumes, and other interaction datasets to identify usage trends and anomalies. 4. Conduct quick, data‑driven deep dives using Advanced Excel (PivotTables, Power Query, complex formulas) to answer immediate business queries. 5. Validate data accuracy and consistency before publishing reports. 6. Collaborate with cross‑functional teams to gather requirements and translate them into analytical solutions. 7. Document data pipelines, reporting logic, and dashboard specifications for future reference. 8. Monitor data pipelines for failures and work with engineering to resolve issues. 9. Assist in creating data dictionaries and metadata documentation. 10. Participate in regular knowledge‑sharing sessions to upskill the analytics team. Tech stack: SQL (MySQL/PostgreSQL), Power BI, Microsoft Excel (advanced), basic Python for data cleaning (optional), Git for version control. The role offers a clear growth path – starting as a Junior Analyst, progressing to Data Analyst, Senior Analyst, and eventually to Data Scientist or Analytics Manager based on performance and skill acquisition. Joining Rezo.ai provides exposure to AI‑driven products, mentorship from industry veterans, and the chance to impact real‑world business decisions from day one.

Rezo.ai 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 🎯
Rezo.ai Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Rezo.ai 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 (SQL, Power BI, Advanced Excel, Data Cleaning, Data Visualization, Analytical Thinking, Communication, Problem Solving) & 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
Rezo.ai 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 Rezo.ai as a Jr. Data Analyst?
Preparation Tip: Highlight Rezo.ai's market reputation, recent tech innovations, and how your skills in SQL 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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