Junior Data Analyst or Mid-level Data Analyst

About the Role

We’re looking for a Data Analyst to join our team at Stattr in Palakkad, Kerala. This is an on-site, full-time opportunity for individuals who enjoy working with Python, data, APIs, databases, web scraping, and quantitative modeling to solve real-world problems. You’ll work on building quantitative models, prototyping ideas, developing data pipelines, setting up APIs and databases, and collaborating with our European team.

• Location: Palakkad, Kerala (On-Site Only)
• Job Type: Full-Time
• Experience: Junior Data Analyst: 0-2 Years | Senior Data Analyst: 2-5 Years
• Education: Bachelor’s/Master’s in Computer Science
• Working Days: Tuesday-Saturday
• Working Hours: 10:00 AM - 7:00 PM
• Compensation: Junior Data Analyst: ₹26,000 per month | Senior Data Analyst: Up to ₹40,000 per month

Key Responsibilities

• Develop and maintain qualitative models and methods for operational optimization, asset valuation, risk assessment, and long-term hedging under complex technical and commercial constraints.
• Analyze how asset values and performance respond to changes in power, gas, wind, and other market drivers.
• Set up APIs and databases for model input/output and market data.
• Perform web scraping to integrate third-party and alternative data sources.
• Develop and maintain reliable analytical workflows and tools using market data, forecasts, and asset information.
• Rapidly prototype potential model ideas into functional tools.
• Refactor early-stage or exploratory research code into robust, scalable systems.
• Convert model results into clear practical outputs for portfolio managers and trading teams.
• Adjust models and recommendations as market conditions, asset constraints, and business requirements change.
• Create data visualizations and dashboards to support analysis and decision-making.
• Evaluate model outputs against actual asset and portfolio performance.
• Analyze the effectiveness of strategies and identify main drivers of results.
• Investigate deviations between expected and realized outcomes and recommend improvements.
• Clean up and structure existing codebases.
• Build and maintain resilient data pipelines.
• Improve evolving codebases for production use.
• Collaborate across time zones with the onshore European team.
• Participate in regular team reviews, planning sessions, and brainstorming discussions.

Requirements & Tech Stack

• Strong Python skills, including experience with Pandas, NumPy, FastAPI.
• Experience working with databases such as MySQL, PostgreSQL, MongoDB.
• Familiarity with web scraping tools such as BeautifulSoup, Scrapy, Selenium.
• Ability to create effective data visualizations and dashboards.
• Experience with Git, Docker, REST APIs, Basic CI/CD.
• Strong analytical and problem-solving abilities.
• Excellent written and spoken English communication skills.

Qualifications

• Junior Data Analyst (0-2 Years)
• 0-2 years of experience in a development-focused role.
• Strong coding fundamentals and willingness to learn.
• Eager to experiment, learn quickly, and contribute from day one.
• Ability to work collaboratively and adapt to new technologies.
• Senior Data Analyst (2-5 Years)
• 2-5 years of experience in a development-focused role.
• Proven ability to design, build, and maintain production-quality solutions.
• Experience taking ownership of technical implementations and delivering independently.
• Comfortable mentoring junior team members and contributing to technical decision-making.
• Strong understanding of software engineering best practices and scalable system design.

Nice to Have

• Master’s Degree.
• Experience with financial modelling building and analysis.
• Familiarity with cloud platforms and services such as Data Factory, Functions, Blob Storage, AWS, Azure, or GCP.
• Experience working with web APIs.
• Exposure to quantitative modeling workflows.
• Understanding of statistical concepts and their practical applications.
• Experience with Machine Learning algorithms.