We are looking for a motivated and analytical Data Analyst with a solid foundation in statistics, Python, and MS Excel. This role is ideal for fresh graduates and early-career professionals interested in stock-market analysis, financial data, and quantitative research.

The candidate will work with financial datasets, identify market patterns, perform statistical analysis, and assist in evaluating trading strategies. Candidates with strong statistical concepts and a willingness to learn are encouraged to apply.

Key Responsibilities
Collect, clean, validate, and analyze stock-market and financial data.
Apply statistical methods to identify trends, patterns, and anomalies.
Analyze stock prices, trading volumes, returns, volatility, and risk metrics.
Use Python to process datasets and perform exploratory data analysis.
Use MS Excel for data analysis, reporting, and dashboard preparation.
Assist in backtesting trading strategies using historical market data.
Create data visualizations and automate repetitive analytical reports.
Apply statistical and basic machine learning techniques to financial datasets.
Document findings and support the team in data-driven decision-making.

Required Skills




Solid understanding of statistics, probability, and hypothesis testing.
Knowledge of correlation, regression, and time-series analysis.
Basic to intermediate proficiency in Python, especially Pandas and NumPy.
Good command of MS Excel, including formulas, lookup functions, and Pivot Tables.
Familiarity with data visualization tools such as Matplotlib or Seaborn.
Basic understanding of machine learning concepts is an advantage.
Strong numerical, analytical, and problem-solving skills.
Interest in stock markets, financial data, and trading strategies.

Eligibility Criteria
Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, Computer Science, or a related field.
Freshers with solid fundamentals and relevant academic projects are welcome.
Candidates with 1–2 years of relevant experience in data analysis, statistical analysis, or financial data analysis are encouraged to apply.
Knowledge of stock-market operations or trading strategies will be an added advantage.

Pay: ₹180,000.00 - ₹600,000.00 per year

Work Location: In person

📌 Data Analyst – Statistics & Trading 1 2 Years Exp Noida
🏢 ALGOWIRE TRADING TECHNOLOGIES
📍 Noida