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REQUIREMENT_ID_1489 β€’ 3-DAY_ACTIVE_POLICY

Associate Research Analyst

Company
Company Google
Type
Opportunity Type Internship
Salary
Stipend / Salary Not disclosed
Location
Location Gurugram, Haryana
Posted Date
Posted Date Oct 02, 2026
Online research Data verification Microsoft Excel Google Workspace Basic data analysis Attention to detail Written communication Verbal communication Analytical thinking Ability to work in shifts
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Comprehensive Placement Papers Collection Open Resource β†—
Curated set of placement papers that help candidates practice quantitative and logical reasoning for analyst roles.
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Interview Experiences and Process Overview Open Resource β†—
First‑hand accounts of interview rounds and preparation tips useful for research and analyst positions.
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Preparation Guide for Analyst Roles Open Resource β†—
Structured guide covering core concepts, sample questions, and study strategies for analyst interviews.
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Problem Solving Practice Set Open Resource β†—
Extensive problem set to sharpen analytical and coding skills, beneficial for data‑analysis assessments.

Graduation (any stream) is mandatory. Minimum aggregate of 60% or CGPA 6.0 out of 10. No active backlogs at the time of joining. Candidates from the 2022‑2025 graduating batches are preferred. Must be willing to work from the Gurugram office and be comfortable with rotational shift timings.

1
Round 1: Online aptitude & reasoning test
2
Round 2: Research case study or technical interview focusing on data handling
3
Round 3: HR interview covering fit, shift availability, and communication skills
Highspring India is a fast‑growing research and analytics services firm headquartered in Gurugram, Haryana. The company partners with a wide range of industries – from fintech and e‑commerce to healthcare and logistics – to provide data‑driven insights that help clients make strategic decisions. With a strong emphasis on accuracy, confidentiality, and timely delivery, Highspring has built a reputation for reliable market intelligence and actionable research reports. The organization fosters a collaborative environment where fresh talent is encouraged to take ownership of projects and grow through continuous learning. The role of Associate Research Analyst is a non‑technical, office‑based position that sits at the core of Highspring’s data collection and analysis engine. As an Associate Research Analyst, you will be part of a 24/7 operations team that works in rotational shifts to ensure round‑the‑clock coverage for client deliverables. The job involves extensive online research, verification of information, data organization, and the preparation of concise reports and presentations. You will also monitor industry trends, curate relevant news, and support senior analysts in deeper analytical tasks. **Key Responsibilities** 1. Conduct thorough online research to gather relevant market, industry, and competitor information. 2. Verify the authenticity and accuracy of collected data before entry into internal databases. 3. Organize data using spreadsheets, Google Sheets, and other data‑management tools. 4. Perform basic data analysis using Excel, Google Data Studio, or similar tools to identify patterns and insights. 5. Prepare well‑structured reports, slide decks, and research summaries for internal and client consumption. 6. Track and update industry trends, news feeds, and market developments on a daily basis. 7. Ensure strict confidentiality of client data and adhere to data‑privacy policies. 8. Collaborate with cross‑functional teams to support ad‑hoc research requests and analytical projects. 9. Maintain high standards of data quality, documentation, and version control. 10. Participate in shift handovers to guarantee seamless continuity of research operations. **Tech Stack & Tools**: Google Workspace (Docs, Sheets, Slides), Microsoft Excel, Power Query, basic SQL for data extraction (optional), data visualization tools such as Google Data Studio or PowerBI, and project‑management platforms like Trello or Asana. **Growth Path**: Starting as an Associate Research Analyst, high performers can progress to Senior Analyst, then to Team Lead, and eventually to Manager – Research Operations. The role offers exposure to multiple industry verticals, enabling analysts to develop domain expertise and advanced analytical capabilities. **Why Join Highspring India?** The position provides a unique blend of hands‑on research experience, exposure to a 24/7 operational environment, and the opportunity to work closely with senior analysts on real‑world business problems. Fresh graduates will benefit from structured training, mentorship, and a clear career trajectory within a supportive, data‑centric culture.

Google 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 🎯
Google Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Google 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 (Online research, Data verification, Microsoft Excel, Google Workspace, Basic data analysis, Attention to detail, Written communication, Verbal communication, Analytical thinking, Ability to work in shifts) & 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
Google 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 Google as a Associate Research Analyst?
Preparation Tip: Highlight Google's market reputation, recent tech innovations, and how your skills in Online research 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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