SQL Debugger IDE
YouTube (@pythonkashi)
Instagram (@ikashii_07)
Required Skills & Tech Stack
Excel
spreadsheet analysis
Power BI
Tableau
data cleaning
data formatting
attention to detail
π Free Study Materials (4)
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Aptitude Questions and Answers
Open Resource β
A comprehensive collection of aptitude problems that help sharpen quantitative and logical reasoning skills, essential for data analysis tasks at Seternity Solutions.
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Interview Preparation Guide
Open Resource β
A curated set of interview questions and answers that cover common topics asked by tech companies, useful for preparing for Seternity Solutions interviews.
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Interview Practice Resources
Open Resource β
A compilation of mock interview scenarios and practice questions that help candidates build confidence and improve their interview performance for roles at Seternity Solutions.
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Coding Practice Problems
Open Resource β
A repository of coding challenges that help develop problemβsolving skills and prepare for technical assessments in dataβcentric roles at Seternity Solutions.
Eligibility Criteria
Bachelorβs degree in Data Analytics, Statistics, Computer Science, Economics, or related field. 0β2 years of experience. Minimum 60% in aggregate or equivalent CGPA. No backlog policy; however, any pending backlogs must be cleared before joining.
Selection & Interview Process
1
Round 1: Technical β Excel and basic data analysis questions
2
Round 2: HR β behavioral and fit interview
3
Round 3: Managerial β project discussion and role fit
Job Description & Key Responsibilities
Seternity Solutions is a rapidly growing technology and analytics firm that helps businesses harness the power of data to drive informed decision-making. With a focus on delivering endβtoβend data solutions, the company has built a reputation for combining cuttingβedge analytics tools with deep industry knowledge across sectors such as finance, healthcare, and retail. The team is known for its collaborative culture, continuous learning initiatives, and a strong emphasis on innovation, making it an ideal environment for fresh talent eager to grow.
The Data Analyst role is a fullβtime position designed for recent graduates or earlyβcareer professionals who are passionate about turning raw data into actionable insights. As a Data Analyst at Seternity, you will work closely with crossβfunctional teamsβresearch, accounting, and productβto collect, clean, and analyze data from multiple sources. Your primary responsibility will be to create dashboards and reports that help stakeholders understand trends, identify opportunities, and make dataβdriven decisions.
Key Responsibilities:
1. Collect, clean, and organize datasets from internal and external sources.
2. Prepare and maintain dashboards using Power BI and Tableau.
3. Perform basic data analysis and trend identification.
4. Support research and accounting teams with data processing tasks.
5. Maintain structured data files and reporting templates.
6. Validate data accuracy and resolve discrepancies.
7. Collaborate with data engineers to improve data pipelines.
8. Document data sources, transformations, and business logic.
9. Assist in adβhoc analysis and reporting as needed.
10. Ensure compliance with data governance and privacy policies.
Tech Stack: Microsoft Excel, Power BI, Tableau, SQL, Python (pandas), basic data cleaning libraries.
Growth Path: Starting as a Junior Data Analyst, you can progress to Senior Analyst, Data Analyst Lead, or Data Scientist roles. The company offers mentorship, training programs, and opportunities to work on highβimpact projects across multiple industries.
Why Join Seternity Solutions? The firm values innovation, offers a supportive learning environment, and provides exposure to realβworld business challenges. Employees enjoy flexible work arrangements, a collaborative culture, and a clear career progression roadmap. If you are a detailβoriented, analytical thinker looking to build a career in data analytics, this role offers the perfect blend of learning, impact, and growth.
Preparation Hub
Seternitysolutions β Data Analytics & SQL Interview Guide
Previously asked questions, exam syllabus, coding benchmarks & round strategy.
π Previously Asked Questions & Preparation Links
APTITUDE & LOGIC
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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
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Seternitysolutions Interview Preparation Corner
Comprehensive guide covering typical interview formats, common questions, and preparation tips for Seternitysolutions and off-campus tech roles.
Open Resource β
MOCK TESTS & PAPERS
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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
π»
Algorithm and Data Structure Problem Set
Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.
Open Resource β
π» Previously Asked Coding Challenges
Easy / Medium
β‘ Live Debugger
Two Sum & Two Pointers Array Optimization
Asked in 85% tech rounds
Medium
β‘ Live Debugger
Reverse Linked List & Detect Cycle (Floyd's Algorithm)
Frequently asked in core rounds
Medium
β‘ Live Debugger
SQL Nth Highest Salary with DENSE_RANK() & Subqueries
Top standard database question
Easy / Medium
β‘ Live Debugger
Valid Parentheses & Stack Implementation
Standard online assessment problem
πΊοΈ Round-Wise Strategy
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, spreadsheet analysis, Power BI, Tableau, data cleaning, data formatting, attention to detail) & 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
Seternitysolutions Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
β Core Technical Questions & Answers
What is the difference between WHERE and HAVING clauses in SQL? Answer βΌ
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 βΌ
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 βΌ
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 βΌ
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 βΌ
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.
π€ Behavioral & HR Questions (STAR Method)
Why do you want to join Seternitysolutions as a Data Analyst?
Preparation Tip: Highlight Seternitysolutions'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.