KASHII UPDATEZ Everyday Student Requirements & Python Coding Tutorials by Python Kashi
KashiiUpdatez
REQUIREMENT_ID_260 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst

Company
Company Ascendion
Type
Opportunity Type Internship
Salary
Stipend / Salary 5-7 LPA
Location
Location Gurugram, Haryana
Posted Date
Posted Date Today
Excel Data Visualization Dashboard Development SQL Python Analytical Thinking Communication Attention to Detail Self‑Driven
πŸ“–
Aptitude Practice Questions Open Resource β†—
Curated logical and quantitative problems to sharpen the reasoning skills tested in Ascendion's first interview round.
πŸ“–
Interview Preparation Guide Open Resource β†—
Comprehensive guide covering common interview formats and question types for data‑focused roles.
πŸ“–
Ascendion Data Analyst Interview Questions Open Resource β†—
Specific interview questions and answers compiled for Ascendion's data analyst position, helping candidates align with company expectations.
πŸ“–
Algorithm Problem Set Open Resource β†—
A collection of coding problems to practice data manipulation and algorithmic thinking useful for technical interviews.

Bachelor's degree in Computer Science, Information Technology, Statistics, Economics, or related field; minimum 60% aggregate; graduating batch 2025‑2027; no active backlogs; strong analytical mindset and proficiency in Excel and data visualisation tools.

1
Round 1: Online Aptitude & Logical Reasoning Test
2
Round 2: Technical Interview (Excel, SQL, case study, data visualisation)
3
Round 3: HR Interview
Ascendion is an AI‑native platform driven software engineering firm that helps global enterprises accelerate innovation. With a client base that includes Global 2000 companies across North America, Europe, the UK and APAC, Ascendion combines thousands of AI agents, expert engineers and its proprietary Engineering to the Power of AIβ„’ (EngineeringAI) methodology to deliver measurable outcomes. The company’s mission is to underwrite outcomes, turning complex data and technology challenges into strategic advantages for Fortune 500 brands. Its rapid growth is fueled by a culture of inclusion, partnership and continuous learning, making it an attractive destination for fresh talent looking to make an impact. The Data Analyst role is positioned at the heart of Ascendion’s data‑driven decision‑making engine. Reporting to the Analytics Lead, the analyst will collect, cleanse, and transform data from multiple internal and external sources, turning raw numbers into actionable insights for senior stakeholders. The position is hybrid, based in Gurugram, allowing for a blend of on‑site collaboration and remote productivity. Candidates will work closely with product managers, engineers and business analysts to build dashboards, generate executive summaries, and support data‑centric initiatives that drive client success. Key Responsibilities: 1. Gather data from varied sources (databases, APIs, spreadsheets) and ensure data quality. 2. Perform exploratory data analysis to identify trends, anomalies and opportunities. 3. Design and develop interactive dashboards using tools such as Power BI or Tableau. 4. Create automated reports and visualisations for senior leadership. 5. Translate business requirements into technical specifications and analytical models. 6. Conduct ad‑hoc analysis to answer strategic questions from product and sales teams. 7. Document data pipelines, methodologies and findings for reproducibility. 8. Collaborate with engineering teams to improve data ingestion and storage processes. 9. Present insights clearly through storytelling, charts and executive summaries. 10. Stay updated with emerging analytics techniques and suggest process improvements. Tech Stack: Excel (advanced), SQL, Power BI/Tableau, Python (pandas, matplotlib), Git for version control, and basic knowledge of cloud data warehouses (Snowflake, BigQuery). The role offers a clear growth path – from Analyst to Senior Analyst, then to Analytics Lead or Product Manager, with regular up‑skilling through Ascendion’s internal training programs and certifications. Why Join Ascendion? You will work on cutting‑edge AI‑enabled projects for world‑leading brands, gain exposure to a global client ecosystem, and receive mentorship from seasoned data engineers and scientists. The hybrid model supports work‑life balance while fostering a collaborative environment where ideas are shared openly. Ascendion’s commitment to continuous learning, inclusive culture and measurable impact makes it an ideal launchpad for ambitious freshers eager to shape the future of data analytics.

Ascendion 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 🎯
Ascendion Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Ascendion 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 (Excel, Data Visualization, Dashboard Development, SQL, Python, Analytical Thinking, Communication, Attention to Detail, Self‑Driven) & 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
Ascendion 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 Ascendion as a Data Analyst?
Preparation Tip: Highlight Ascendion's market reputation, recent tech innovations, and how your skills in Excel 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.

More Fresh Requirements in Software & Tech

View Category Feed β†—
Ascendion
Data Analyst
Apply Apply Now β†—
Chat Chat with Kashii