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REQUIREMENT_ID_307 β€’ 3-DAY_ACTIVE_POLICY

Data Analyst

Company
Company She Starts
Type
Opportunity Type Internship
Salary
Stipend / Salary β‚Ή40,000 per month
Location
Location Remote
Posted Date
Posted Date Today
Data analysis Microsoft Excel Google Sheets Data cleaning Data visualization Attention to detail Problem solving Communication Time management Self‑motivation
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Aptitude Practice Questions Open Resource β†—
Comprehensive set of quantitative and logical reasoning problems to sharpen the analytical skills required for the initial screening round.
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Interview Preparation Guide Open Resource β†—
Curated interview questions and answers covering data analysis concepts, Excel functions, and case‑study scenarios commonly asked by startups.
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She Starts Data Analyst Interview Guide Open Resource β†—
Specific insights, sample questions, and tips for the Data Analyst role at She Starts, helping candidates align with the company's expectations.
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Algorithm Problem Set Open Resource β†—
A collection of coding and algorithmic challenges to improve logical thinking and problem‑solving abilities useful for technical interviews.

Bachelor's degree in any discipline (preferably Commerce, Economics, Statistics, Computer Science, Engineering, or related fields). Minimum aggregate of 60% (or CGPA 6.0/10). No active backlogs at the time of joining. Open to 2023‑2025 batch graduates. Candidates must have a stable internet connection for remote work.

1
Round 1: Online aptitude test (logical reasoning, quantitative, data interpretation)
2
Round 2: Technical interview (Excel/SQL concepts, case study discussion)
3
Round 3: HR interview (cultural fit, motivation, remote work readiness)
She Starts is an emerging Indian startup dedicated to empowering women through technology, education, and entrepreneurship. Founded by a group of passionate social entrepreneurs, the company builds platforms that connect aspiring women professionals with mentors, up‑skilling resources, and job opportunities across sectors. With a lean but growing team, She Starts has quickly gained traction for its inclusive culture, data‑driven decision making, and a mission‑first mindset that resonates with fresh talent looking to make a social impact while building a solid career. The Data Analyst role at She Starts is a remote, full‑time position designed for recent graduates who are eager to translate raw data into actionable business insights. As a Data Analyst, you will be the backbone of the company’s reporting engine, collecting data from multiple internal and external sources, cleaning and validating it, and presenting trends that guide product development, marketing spend, and community outreach. You will work closely with product managers, marketing leads, and the senior leadership team, ensuring that every strategic decision is backed by reliable numbers. Key Responsibilities: 1. Collect, organise, and maintain datasets from assigned sources such as CRM, Google Analytics, and internal tools. 2. Perform exploratory data analysis to uncover trends, patterns, and anomalies. 3. Cleanse and validate data to ensure accuracy and consistency across reports. 4. Build and maintain regular reports, dashboards, and summary documents for stakeholders. 5. Create visualisations using Excel, Google Sheets, or lightweight BI tools to communicate findings clearly. 6. Support cross‑functional teams by providing data‑driven insights for campaigns, product features, and community programs. 7. Identify and flag discrepancies in datasets, recommending corrective actions. 8. Document data pipelines, reporting processes, and analytical methodologies for future reference. 9. Conduct basic research to supplement data gaps and enrich analysis. 10. Continuously improve reporting formats based on stakeholder feedback. Tech Stack & Tools: Advanced Microsoft Excel/Google Sheets, basic SQL (optional), data‑visualisation tools (Google Data Studio or Power BI), and familiarity with cloud storage (Google Drive, Dropbox). While not mandatory, exposure to Python or R for data manipulation is a plus. Growth Path: Starting as a junior analyst, high performers can progress to Senior Analyst, then to Data Insights Lead, and eventually to Head of Analytics, overseeing a team that shapes the company’s strategic roadmap. Why Join She Starts? You will gain hands‑on experience in end‑to‑end data analysis while contributing to a mission that directly impacts women’s career growth in India. The remote setup offers flexibility, and the startup environment ensures rapid learning, ownership of projects, and visibility to senior leadership. This role is an ideal launchpad for freshers aiming to build a robust analytical foundation and make a tangible difference.

She Starts 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 🎯
She Starts Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for She Starts 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 (Data analysis, Microsoft Excel, Google Sheets, Data cleaning, Data visualization, Attention to detail, Problem solving, Communication, Time management, Self‑motivation) & 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
She Starts 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 She Starts as a Data Analyst?
Preparation Tip: Highlight She Starts's market reputation, recent tech innovations, and how your skills in Data analysis 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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