Associate I – Data Analyst

UST’s interview process typically starts with a timed online aptitude test, followed by a technical interview focusing on SQL queries, data manipulation in Python, and basic understanding of asset‑management tools like Aladdin. The final HR round assesses cultural fit and communication skills. Candidates should practice data‑cleaning scenarios and be ready to discuss any projects involving data analysis.

Round 1: Online Aptitude & Logical Reasoning Test → Round 2: Technical Interview (Data handling, SQL, Python, Aladdin basics) → Round 3: HR Interview (fitment, communication, career aspirations)

UST promotes a collaborative and inclusive work culture where learning is continuous and employees are encouraged to experiment with new technologies. The company offers clear career progression, regular skill‑upgradation programs, and a balanced approach to work and personal life, making it a supportive environment for fresh talent.

Graduates (B.Tech/B.E., B.Sc., B.Com, MBA) in Computer Science, Information Technology, Electronics, Statistics, Finance or related fields; Minimum 60% aggregate (or CGPA 6.0/10); No active backlogs at the time of joining; Batch year 2025 or 2026 preferred; Freshers can apply; Strong analytical mindset and willingness to learn.

UST (formerly UST Global) is a digital transformation partner that helps enterprises re‑imagine their businesses through technology, data and design. With a presence in more than 25 countries and a workforce of over 30,000 professionals, UST serves Fortune 500 clients across banking, healthcare, retail, and manufacturing. The company is known for its strong focus on innovation, sustainability and a culture that encourages continuous learning. In India, UST’s delivery centres in cities like Kochi, Hyderabad and Bengaluru are hubs for data‑driven solutions, where fresh talent gets exposure to global projects and cutting‑edge tools. The role of Associate I – Data Analyst is an entry‑level position designed for recent graduates who are eager to start a career in data management and analytics. As an Associate, you will work under senior analysts and data engineers to ingest, cleanse, and validate large volumes of operational data that feed critical business processes. You will be part of a team that supports onboarding and off‑boarding of client accounts, ensuring data integrity across multiple platforms, including the industry‑standard Aladdin system used by asset‑management firms. Key Responsibilities: 1. Collect, verify, store, and maintain accurate operational data from diverse sources. 2. Support data migration and transition activities for new client accounts. 3. Perform data quality checks and flag anomalies for further investigation. 4. Document data workflows, mappings, and standard operating procedures. 5. Collaborate with cross‑functional teams to resolve data‑related issues promptly. 6. Assist in building and updating dashboards and reports for internal stakeholders. 7. Participate in regular data audits to ensure compliance with client and regulatory standards. 8. Contribute to process improvement initiatives by suggesting automation opportunities. 9. Provide support during client onboarding/off‑boarding to guarantee a seamless data experience. 10. Continuously learn and apply new data tools and technologies as required. Tech Stack: SQL, Python (pandas, numpy), Excel, Aladdin, Tableau/PowerBI, Git for version control, and basic knowledge of cloud platforms (AWS/Azure). Growth Path: Starting as an Associate I, high performers can progress to Associate II, Senior Data Analyst, Data Engineer, and eventually to roles such as Data Lead or Analytics Manager within 3‑5 years, depending on performance and up‑skilling. Why Join UST? UST offers a vibrant learning environment, mentorship from industry experts, and exposure to global clients. Freshers receive structured onboarding, regular training sessions, and opportunities to work on real‑world data projects that have a tangible impact on business outcomes. The company’s emphasis on work‑life balance, flexible work arrangements, and a supportive culture makes it an ideal place to launch a data‑centric career.