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REQUIREMENT_ID_1397 • 3-DAY_ACTIVE_POLICY

Associate I – Data Analyst

Company
Company UST
Type
Opportunity Type Internship
Salary
Stipend / Salary 5.3 - 6.7 LPA
Location
Location Kochi
Posted Date
Posted Date Sep 28, 2026
Data entry Data validation SQL Excel Attention to detail Analytical thinking Knowledge of investment data structures Familiarity with Aladdin or similar platforms Communication skills Problem solving
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Aptitude and Logical Reasoning Practice Open Resource ↗
Helps you sharpen quantitative and logical reasoning skills essential for the online assessment stage.
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Technical Interview Preparation Guide Open Resource ↗
Covers common data‑management and SQL questions asked in UST technical rounds.
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Interview Experience and Tips Open Resource ↗
Provides candidate experiences and preparation tips specific to UST recruitment processes.
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Coding Practice for Data Problems Open Resource ↗
Offers a collection of coding problems to improve problem‑solving speed for any technical assessment.

Degree: B.E or B.Tech in any engineering discipline. Minimum aggregate: 60% (or equivalent CGPA). Batch: 2023‑2026 (candidates who graduated within the last 3 years). No active backlogs at the time of application. Must have 1‑3 years of relevant experience in a data‑management environment, preferably within asset‑management or related financial services.

1
Round 1: Online aptitude & logical reasoning test
2
Round 2: Technical interview focusing on data‑management concepts, SQL/Excel and platform knowledge
3
Round 3: HR interview covering fit, communication and career aspirations
UST (formerly known as UST Global) is a leading digital transformation and technology services company with a presence in more than 25 countries. In India, the firm operates major delivery centers in Kochi, Bengaluru, Trivandrum and Chennai, serving clients across banking, financial services, healthcare, retail and many other sectors. UST’s culture blends a strong engineering mindset with a focus on innovation, continuous learning and a collaborative work environment that encourages employees to take ownership of their projects. The company invests heavily in up‑skilling its workforce through internal academies, certifications and exposure to cutting‑edge platforms, making it an attractive destination for early‑career professionals. The role of Associate I – Data Analyst (Onboarding and Event Management) sits within UST’s Data team and is primarily responsible for ensuring that all client‑facing investment data – accounts, mandates, portfolios and related operational parameters – are accurately created, maintained and reconciled across multiple platforms such as Aladdin, IRIS and other proprietary business data masters. The analyst will act as a bridge between the asset‑management business side and the technology platforms, performing data‑quality checks, handling onboarding/off‑boarding events, configuring trade‑delivery settings and escalating any anomalies to senior team members. This position offers a unique blend of data‑management rigor and exposure to investment‑operations workflows, making it an ideal stepping‑stone for candidates aspiring to grow in the financial‑technology domain. Key Responsibilities: 1. Set up and maintain mandates, portfolios and related items in Aladdin, IRIS and other client data masters. 2. Close mandates and portfolios as per business requirements. 3. Conduct quality‑assurance checks to ensure data consistency across platforms. 4. Configure and maintain pay‑away brokers, credit‑risk counterparties and custodians. 5. Review and resolve data‑quality control exceptions. 6. Uphold data‑governance principles and maintain accounting data in Aladdin. 7. Manage trade‑delivery configuration and settlement instruction setup. 8. Generate and maintain third‑party reports and cash‑flow notifications. 9. Escalate critical issues promptly to the Team Leader. 10. Continuously identify data anomalies and suggest corrective actions. Tech Stack & Tools: Aladdin, IRIS, SQL, Excel, data‑governance tools, basic scripting (Python/PowerShell) for automation, and ticketing systems for issue tracking. Growth Path: Starting as an Associate I, high performers can progress to Senior Data Analyst, Data Governance Lead, and eventually into Product Management or Solution Architecture roles within UST’s financial services practice. Why Join UST? UST offers a best‑in‑industry compensation package, exposure to global clients, a structured learning ecosystem, and a culture that values innovation and work‑life balance. Fresh talent gets the chance to work on real‑world investment data, collaborate with seasoned professionals, and build a solid foundation for a long‑term career in data analytics and fintech.

UST — Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
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 ↗
COMPANY GUIDE 🎯
UST Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for UST and off-campus tech roles.

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource ↗
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 (Data entry, Data validation, SQL, Excel, Attention to detail, Analytical thinking, Knowledge of investment data structures, Familiarity with Aladdin or similar platforms, Communication skills, 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
UST 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 ▼
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 ▼
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 ▼
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 ▼
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 ▼
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 UST as a Associate I – Data Analyst?
Preparation Tip: Highlight UST's market reputation, recent tech innovations, and how your skills in Data entry 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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