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REQUIREMENT_ID_89 β€’ 3-DAY_ACTIVE_POLICY

BI Engineering Associate

Company
Company Accenture
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 6 LPA - 8 LPA
Location
Location Bengaluru, Karnataka
Posted Date
Posted Date Yesterday
Power BI Tableau SQL DAX Power Query Data Modeling ETL Dimensional Modeling Azure Databricks Microsoft Fabric Row Level Security Reporting Governance Dashboard Development
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Accenture Placement Papers – BI Role Open Resource β†—
Provides previous Accenture placement questions that help you understand the type of analytics and aptitude problems asked for BI positions.
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Accenture Recruitment Process Insights Open Resource β†—
Offers a detailed walkthrough of Accenture's interview stages, useful for preparing for technical and HR rounds specific to BI roles.
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Accenture Interview Preparation Guide Open Resource β†—
Covers common interview questions, tips and resources to help candidates ace Accenture interviews for freshers and early‑career roles.
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Algorithm Practice – Problem Set Open Resource β†—
A collection of coding problems to sharpen SQL, data manipulation and algorithmic thinking, which are often tested in Accenture technical rounds.

Any graduate (B.Tech/B.E., B.Sc., B.Com, BA, etc.) from any stream with a minimum of 60% aggregate (or equivalent CGPA). No active backlogs at the time of joining. Freshers and candidates with up to 2 years of relevant experience are eligible. Must have proficiency in English (intermediate).

1
Round 1: Online Assessment (aptitude & logical reasoning)
2
Round 2: Technical Interview (focus on Power BI, SQL, data modeling)
3
Round 3: HR Interview (fitment, communication and career aspirations)
Accenture is a global professional services powerhouse with a presence in more than 120 countries and a workforce of over 784,000 professionals. The firm blends deep industry expertise with cutting‑edge digital, cloud and security capabilities, helping clients across 40+ industries transform their businesses. Known for its culture of continuous learning, Accenture invests heavily in upskilling its people through programs like myNav, Accenture Academy and the Innovation Architecture, ensuring that employees stay ahead of technology curves. The company’s commitment to diversity, inclusion and sustainability makes it a preferred employer for young talent seeking a purpose‑driven career. The role of a BI Engineering Associate sits within Accenture’s Reinvention Deployment Engineering (RDE) practice, which accelerates delivery of engineering and R&D solutions by marrying human expertise with AI‑driven agents. As a member of the RDE‑Analytics team, you will be responsible for designing, building, optimizing and governing dashboards, executive scorecards, self‑service reports and data‑storytelling solutions for Accenture’s Operations clients. The position is ideal for fresh graduates or early‑career professionals with a passion for data visualization and a willingness to learn modern analytics platforms. Key responsibilities include: 1. Develop interactive Power BI reports and dashboards, incorporating DAX measures and Power Query transformations. 2. Create Tableau visualisations where required, supporting executive‑level storytelling. 3. Write and optimise SQL queries for data extraction, validation and transformation. 4. Participate in dimensional modelling and ETL design, ensuring data quality and consistency. 5. Implement row‑level security and performance tuning to meet enterprise governance standards. 6. Collaborate with business stakeholders to gather requirements and translate them into actionable analytics solutions. 7. Maintain documentation such as data dictionaries, test evidence and user feedback logs. 8. Monitor dashboard refresh cycles, troubleshoot defects and support production‑level reporting. 9. Assist in the migration of analytics workloads to modern platforms like Microsoft Fabric and Azure Databricks. 10. Contribute to continuous improvement initiatives within the POD‑based delivery model. Tech stack: Power BI (primary), Tableau, SQL, DAX, Power Query, Azure Databricks, Microsoft Fabric, Snowflake, ETL tools, dimensional modelling concepts. Growth path: Starting as an Associate, high performers can progress to Senior Analyst, Manager, and eventually to Lead Architect roles within Accenture’s Analytics practice, with opportunities to specialize in AI‑augmented analytics, cloud data engineering or consulting leadership. Why join Accenture? You gain exposure to world‑class clients, cutting‑edge technologies, and a collaborative environment that encourages innovation. The firm’s robust learning ecosystem, global mobility options and strong emphasis on work‑life balance make it an excellent launchpad for a long‑term analytics career.

Accenture 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 🎯
Accenture Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Accenture 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 (Power BI, Tableau, SQL, DAX, Power Query, Data Modeling, ETL, Dimensional Modeling, Azure Databricks, Microsoft Fabric, Row Level Security, Reporting Governance, Dashboard Development) & 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
Accenture 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 Accenture as a BI Engineering Associate?
Preparation Tip: Highlight Accenture's market reputation, recent tech innovations, and how your skills in Power BI 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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