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REQUIREMENT_ID_1402 β€’ 3-DAY_ACTIVE_POLICY

Junior Data Analyst

Company
Company Issgovernance
Type
Opportunity Type Internship
Salary
Stipend / Salary 4-5 LPA
Location
Location Mumbai, India
Posted Date
Posted Date Sep 28, 2026
MS Office data collection data verification analytical thinking attention to detail problem solving written and verbal communication ability to meet deadlines
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Aptitude and Logical Reasoning Practice Open Resource β†—
Helps candidates sharpen quantitative and logical reasoning skills commonly tested in the first round of ISS recruitment.
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Interview Preparation for Corporate Roles Open Resource β†—
Provides insights into typical corporate interview questions and answer strategies useful for the technical and HR rounds at ISS.
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Comprehensive Study Guides for Freshers Open Resource β†—
Offers curated notes, mock tests and interview tips that align with the skill set required for a junior data analyst role.
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Problem‑Solving Practice Platform Open Resource β†—
Contains coding and data‑manipulation problems that help improve analytical thinking and Excel‑related problem solving for the technical interview.

Post‑Graduation (PG) in Finance, Economics or related field; Minimum 55% aggregate in PG; Freshers or up to 1 year of relevant experience; No active backlogs; Strong command of English (written & spoken).

1
Round 1: Online aptitude & logical reasoning test
2
Round 2: Technical/Domain interview focusing on data handling, governance concepts and Excel skills
3
Round 3: HR interview covering cultural fit, motivation and career aspirations
Institutional Shareholder Services (ISS) is a global leader in corporate governance and responsible investment solutions. With a 30‑year legacy, ISS serves asset owners, managers, hedge funds and service providers across the world, offering research, analytics, proxy voting, and data‑driven governance tools. Headquartered in the United States, the firm operates in 13 countries with more than 2,000 employees. The Mumbai office, established in 2011, is the core technology hub, housing over 600 professionals who build and maintain the data platforms that power ISS’s worldwide services. ISS Corporate Solutions (ICS), a wholly‑owned subsidiary, provides specialized governance and compensation databases to over 1,300 clients in North America, EMEA and Asia, helping them design, manage and measure governance programmes. The Junior Data Analyst role is a permanent position based in Mumbai and will become an integral part of the Data Operations team. The analyst will support the delivery of high‑quality data and research for the assigned market, working across four pillars – Core (Individual), Core (Company), Compensation and Pay. The role is ideal for fresh graduates with a strong analytical mindset, attention to detail and a passion for corporate governance data. Key Responsibilities: 1. Search for, collect and verify company‑level data of basic to intermediate complexity using approved methodologies and sources. 2. Respond to internal and client queries, ensuring data aligns with methodology and policy guidelines. 3. Follow established work‑process standards to maintain data quality. 4. Meet predefined turnaround times for data collection assignments. 5. Escalate any data interpretation issues to senior analysts or team leads. 6. Conduct root‑cause analysis when data discrepancies are identified. 7. Update internal performance‑metric documents and dashboards. 8. Participate in cross‑functional committees, projects and ad‑hoc tasks beyond core duties. 9. Maintain paper and electronic filing systems in compliance with ISS and client retention policies. 10. Continuously improve knowledge of governance data domains and stay updated on industry best practices. Tech Stack & Tools: MS Office (Excel, PowerPoint, Word), data‑validation tools, internal ISS data management platforms, basic SQL for data extraction, and collaboration tools like SharePoint and Teams. Growth Path: Starting as a Junior Analyst, high performers can progress to Data Analyst, Senior Analyst, and eventually to Team Lead or Manager within the Data Operations vertical. Exposure to global governance datasets and client interaction opens pathways to roles in product development, client services or domain‑specific research. Why Join ISS? You will work with a world‑renowned governance leader, gain deep exposure to corporate data that influences investment decisions globally, and develop a robust skill set in data management, analytics and stakeholder communication. The Mumbai office offers a collaborative, multicultural environment with ample learning resources, mentorship programmes and a clear career progression roadmap.

Issgovernance 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 🎯
Issgovernance Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Issgovernance 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 (MS Office, data collection, data verification, analytical thinking, attention to detail, problem solving, written and verbal communication, ability to meet deadlines) & 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
Issgovernance 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 Issgovernance as a Junior Data Analyst?
Preparation Tip: Highlight Issgovernance's market reputation, recent tech innovations, and how your skills in MS Office 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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