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REQUIREMENT_ID_1812 • 3-DAY_ACTIVE_POLICY

Data Analyst

Company
Company Ericsson
Type
Opportunity Type Internship
Salary
Stipend / Salary 7 - 10 LPA
Location
Location Noida, Uttar Pradesh
Posted Date
Posted Date Today
SQL PL/SQL SQL Server SSIS Excel Access VBA Tableau Power BI Python Pandas NumPy GCP BigQuery Agentic AI data cleaning data visualisation analytical thinking telecom operations knowledge
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Aptitude Practice Questions Open Resource ↗
Curated quantitative and logical reasoning problems to sharpen the aptitude test often used in Ericsson's first round.
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Company Interview Preparation Guide Open Resource ↗
Comprehensive guide covering typical interview patterns, technical topics and HR questions for telecom and analytics roles.
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Technical Interview Prep Resources Open Resource ↗
Focused material on SQL, Python, data‑visualisation and case‑study preparation to help candidates ace the technical round.
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Coding Practice Problems Open Resource ↗
Extensive set of coding challenges to improve problem‑solving speed and accuracy, essential for the online coding test.

Bachelor’s or Master’s degree in Engineering, Computer Science or a related discipline (B.E/B.Tech/M.Tech). Minimum aggregate 60% (or CGPA 6.0/10). Final year or recent graduate (batch up to 2026) eligible. No active backlogs at the time of joining. Candidates should have 3–4 years of relevant experience in analytics and development (2–4 years acceptable as per latest listing).

1
Round 1: Online Aptitude & Coding Test
2
Round 2: Technical Interview (SQL, Python, Analytics case study)
3
Round 3: HR Interview (fitment, communication, career goals)
Ericsson is a global leader in telecommunications and networking solutions, with a legacy of more than 150 years in delivering cutting‑edge technology to operators worldwide. In India, Ericsson operates large R&D centres, network deployment hubs and service delivery units that enable the country’s digital transformation. The company prides itself on a culture of innovation, collaboration and continuous learning, offering employees exposure to multinational projects, state‑of‑the‑art tools and a supportive environment for professional growth. The Data Analyst role in Noida is positioned within the Operations Analytics team, where analysts turn raw operational data into actionable insights that drive service quality, cost efficiency and customer satisfaction. The role demands a blend of strong SQL expertise, data‑visualisation capabilities, and an understanding of telecom operations. Candidates will work closely with cross‑functional stakeholders, including network engineers, product managers and senior leadership, to translate business questions into measurable metrics and automated reporting solutions. Key Responsibilities: 1. Design, develop and automate standard and ad‑hoc analytical measures using SQL, PL/SQL and SSIS. 2. Clean, transform and enrich operational datasets to ensure data quality and consistency. 3. Build interactive dashboards and visualisations in Tableau or Power BI that highlight trends, anomalies and performance indicators. 4. Create Excel‑based reports with VBA macros to streamline recurring reporting tasks. 5. Leverage Python for data manipulation, statistical analysis and prototype machine‑learning models where applicable. 6. Utilise Google Cloud BigQuery for large‑scale query execution and cost‑effective data warehousing. 7. Identify process‑improvement opportunities, propose automation solutions and track the impact of implemented changes. 8. Mentor junior analysts, share best practices and contribute to the development of a robust analytics framework. 9. Collaborate with data engineers and data scientists to integrate advanced analytics pipelines. 10. Present findings to senior leadership in clear, business‑focused narratives. Tech Stack: SQL, PL/SQL, SQL Server, SSIS, Excel, Access, VBA, Tableau, Power BI, Python (Pandas, NumPy), GCP BigQuery, Agentic AI concepts, basic C#/Java knowledge. Growth Path: Analysts can progress to Senior Analyst, Analytics Lead, or move into specialized roles such as Data Engineer, Business Intelligence Architect or Product Analyst. Ericsson’s global footprint also opens avenues for international assignments and participation in flagship 5G projects. Why Join Ericsson: Employees benefit from a strong brand reputation, exposure to next‑generation telecom technologies, continuous learning programs, and a collaborative culture that values diversity and innovation. The company’s commitment to work‑life balance, flexible work arrangements and competitive benefits make it an attractive destination for ambitious data professionals.

Ericsson — 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 🎯
Ericsson Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Ericsson 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 (SQL, PL/SQL, SQL Server, SSIS, Excel, Access, VBA, Tableau, Power BI, Python, Pandas, NumPy, GCP BigQuery, Agentic AI, data cleaning, data visualisation, analytical thinking, telecom operations knowledge) & 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
Ericsson 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 Ericsson as a Data Analyst?
Preparation Tip: Highlight Ericsson's market reputation, recent tech innovations, and how your skills in SQL 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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