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REQUIREMENT_ID_224 β€’ 3-DAY_ACTIVE_POLICY

Associate Data Analyst – Scala, PySpark, Azure Cloud, AI

Company
Company Optum
Type
Opportunity Type Internship
Salary
Stipend / Salary 5- 8 LPA
Location
Location Hyderabad, Telangana
Posted Date
Posted Date Today
Scala PySpark Azure CI/CD Agile APIs Artificial Intelligence Large Language Models Rally (optional) Problem Solving Communication
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Aptitude and Reasoning Practice Open Resource β†—
Curated questions to sharpen quantitative, logical, and verbal reasoning skills essential for the online screening round.
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Data Analytics and Programming Resources Open Resource β†—
Comprehensive articles and tutorials on Scala, PySpark, and Azure that align with the technical interview requirements.
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Optum Data Analyst Interview Prep Open Resource β†—
Targeted preparation material covering typical Optum interview questions, case studies, and role‑specific scenarios.
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Coding Practice Problems Open Resource β†—
A wide range of algorithmic challenges to improve coding speed and accuracy, useful for technical assessments.

Graduate degree (B.E/B.Tech/B.Sc) in any engineering or science discipline; minimum 60% aggregate or CGPA 6.0/10; batch years 2022‑2026 accepted; no active backlogs at the time of joining; 1+ years of data analytics experience or relevant project work; strong coding skills in Scala and PySpark; hands‑on experience with Microsoft Azure; good communication skills.

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Round 1: Online Aptitude & Logical Reasoning Test
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Round 2: Technical Interview covering Scala, PySpark, Azure concepts and AI fundamentals
3
Round 3: HR Interview focusing on fit, communication and career aspirations
Optum, a leading health services and innovation company under UnitedHealth Group, has built a reputation for leveraging data and technology to improve health outcomes worldwide. With a strong focus on digital transformation, Optum offers a vibrant ecosystem where data scientists, engineers, and analysts collaborate to create scalable solutions for healthcare providers, insurers, and patients. The company’s culture emphasizes continuous learning, cross‑functional teamwork, and a commitment to delivering measurable impact through data‑driven insights. The Associate Data Analyst role in Hyderabad is designed for fresh graduates or early‑career professionals who are passionate about turning raw data into actionable intelligence. Reporting to senior data engineers, the analyst will work on end‑to‑end data pipelines, develop algorithms, and integrate AI/LLM capabilities to automate business processes. This position blends traditional data analytics with modern cloud‑native development, offering a unique opportunity to gain hands‑on experience with Scala, PySpark, and Azure while contributing to high‑impact healthcare projects. Key Responsibilities: 1. Collaborate with business stakeholders to gather and translate requirements into technical specifications. 2. Design, develop, and maintain scalable data pipelines using Scala and PySpark on Azure Databricks. 3. Implement CI/CD pipelines for automated testing and deployment of data‑processing jobs. 4. Integrate RESTful APIs to ingest external data sources and expose processed results. 5. Apply AI and Large Language Model techniques to automate repetitive analytical tasks. 6. Conduct performance tuning and optimization of Spark jobs to ensure cost‑effective processing. 7. Participate in Agile ceremonies, maintain sprint backlogs, and deliver incremental value each sprint. 8. Document code, data models, and solution architecture for knowledge sharing. 9. Perform data quality checks and validation to guarantee accuracy of insights. 10. Stay updated with emerging technologies and propose innovative solutions to improve existing workflows. Tech Stack: Scala, PySpark, Azure (Databricks, Data Lake, Synapse), Git, Azure DevOps, CI/CD, REST APIs, Agile (Scrum), Rally (optional), AI/LLM frameworks. Growth Path: Starting as an Associate Data Analyst, high performers can progress to Senior Data Engineer, Data Solutions Architect, or AI Product Lead within 2‑4 years, benefitting from Optum’s robust internal training programs and mentorship. Why Join Optum? Optum offers a competitive compensation package, exposure to cutting‑edge healthcare data problems, and a collaborative environment that encourages innovation. Employees enjoy flexible work arrangements, continuous upskilling opportunities, and the chance to make a tangible difference in the health sector.

Optum 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 🎯
Optum Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Optum 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 (Scala, PySpark, Azure, CI/CD, Agile, APIs, Artificial Intelligence, Large Language Models, Rally (optional), Problem Solving, Communication) & 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
Optum 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 Optum as a Associate Data Analyst – Scala, PySpark, Azure Cloud, AI?
Preparation Tip: Highlight Optum's market reputation, recent tech innovations, and how your skills in Scala 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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