Data Analyst

We're Hiring: Data Analyst
Experience: 0–5 Years | Freshers Preferred
Engagement Type: 100% Commission-Based | No Fixed Salary, No Base Pay
We're looking for a hands-on Data Analyst to join our team — someone comfortable working directly with real datasets, writing queries, building dashboards, and turning raw data into business insight, not just working on theory.
Key Responsibilities:
Clean, structure, and analyze data using Excel / Google Sheets — pivot tables, formulas, and data-cleaning workflows
Write and optimize SQL queries — joins, aggregations, subqueries, and window functions for real analytical questions
Perform data wrangling and statistical analysis using Python (Pandas, NumPy)
Create visualizations using Matplotlib and document analysis workflows in Jupyter Notebook
Conduct Exploratory Data Analysis (EDA) — handle missing data, outliers, and data-quality issues
Build interactive, decision-ready dashboards using Power BI / Tableau Public
Work with automated reporting pipelines using Google Data Studio / Looker Studio
Source and work with real datasets from Kaggle and public government open-data portals
Apply statistical rigor to business questions — hypothesis testing, A/B testing, and significance testing
Build and maintain internal reporting dashboards for real business use
Structure findings into clear, executive-ready reports and presentations
Present data-backed business insights and recommendations to stakeholders
Required Skills & Tools Knowledge (Mandatory):
SQL — joins, aggregation, subqueries, window functions, query optimization
Python — Pandas, NumPy for data wrangling and analysis
Excel / Google Sheets — pivot tables, formulas, data cleaning
Power BI or Tableau — building interactive dashboards
Statistics & A/B Testing — hypothesis testing, experiment design
Jupyter Notebook — documented, reproducible analysis
Strong data storytelling and executive reporting skills
Comfort working with real public datasets (Kaggle, open-government data)
Who Can Apply:
Freshers with the above analytical/tool knowledge — given first preference
Candidates with up to 5 years of relevant data analytics experience are also welcome
No prior professional analytics experience required, but strong grip on SQL, Python, and Excel expected
Compensation:
This is a 100% commission-based role — no fixed salary, no base component. Earnings are entirely performance-linked. Please apply only if you're comfortable with this structure.
📩 Interested candidates can apply with your updated resume and portfolio (SQL/Python queries, dashboards, or GitHub link if available).
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Work arrangement
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