Data Analyst

Trida AI; Chennai; On-site; INR 800,000 - 1,400,000; Full time

Job summary

Farmioc in Chennai, Tamil Nadu, India is seeking an Agricultural Data Analyst to turn historical price, crop, and market data into actionable insights for PriceHub, DataStore, MarketHub, and AgriTools. You will work with SQL and Python to clean data, build forecasting models, and create dashboards for internal teams.

You will collaborate with product and engineering teams, and help scale data-driven features across regional markets with an emphasis on accuracy and clear communication.

Qualifications

• 3–5 years of experience in data analysis, agricultural analytics, commodity research, or a related field.
• Strong SQL skills and experience working with relational databases.
• Proficiency in Python for data analysis and manipulation.
• Experience with Pandas, NumPy, and data visualization libraries.
• Solid understanding of descriptive statistics, time-series analysis, and forecasting methods.
• Strong understanding of data cleaning, transformation, and analytical workflows.
• Strong analytical and problem-solving skills with attention to detail.
• Clear communication of findings to technical and non-technical stakeholders, and strong collaboration skills.
• Comfortable working independently and collaborating asynchronously across a distributed team.

Responsibilities

• Analyze historical and current price, arrival, and crop data across commodities, markets, districts, states, and seasons to generate actionable insights.
• Clean, validate, and prepare data from multiple sources, checking accuracy, consistency, completeness, units, and dates.
• Identify trends, anomalies, and data-quality issues, and work with engineering and data teams to address them at the pipeline level.
• Build and evaluate price forecasting and trend models using statistical methods.
• Build reports, dashboards, and data summaries for internal teams and products such as PriceHub, DataStore, MarketHub, and AgriTools.
• Automate recurring analysis and validation using SQL and Python.
• Document data sources, definitions, assumptions, and analytical methods.
• Communicate findings clearly to product, engineering, and business teams.

Skills

SQL

Python

Pandas

NumPy

Data Visualization

Time-series

Forecasting

Data Cleaning

Communication

Collaboration

Tools

PostgreSQL

Tableau

Power BI

Job description

Data Analyst

About the Job

Company: Farmioc
Location: Chennai, Tamil Nadu, India
Work Model: Onsite
Employment Type: Full-time
Experience: 3–5 Years

About Farmioc

Farmioc is an agricultural data intelligence and commodity technology company building data-driven products for agricultural markets, commodity intelligence, analytics, and decision support.

Our products include:

• PriceHub — Agricultural commodity market intelligence and price data.

• MarketHub — A marketplace for agricultural commodity trading and transactions.

• DataStore — Agricultural data, analytics, dashboards, and data exploration.

• AgriTools — AI-powered tools for agricultural decision support.

About the Role

We are looking for an Agricultural Data Analyst to analyze agricultural, market, and commodity data and turn it into reliable insights for Farmioc's products and business decisions.

You will work with historical and current data across commodities, markets, regions, and seasons, while collaborating with product, engineering, and data teams to improve analysis, forecasting, and data-driven features.

What You'll Do

• Analyze historical and current price, arrival, and crop data across commodities, markets, districts, states, and seasons to generate actionable insights.

• Clean, validate, and prepare data from multiple sources, checking accuracy, consistency, completeness, units, and dates.

• Identify trends, anomalies, and data-quality issues, and work with engineering and data teams to address them at the pipeline level.

• Build and evaluate price forecasting and trend models using statistical methods.

• Build reports, dashboards, and data summaries for internal teams and products such as PriceHub, DataStore, MarketHub, and AgriTools.

• Automate recurring analysis and validation using SQL and Python.

• Document data sources, definitions, assumptions, and analytical methods.

• Communicate findings clearly to product, engineering, and business teams.

What You Will Have

• 3–5 years of experience in data analysis, agricultural analytics, commodity research, or a related field.

• Strong SQL skills and experience working with relational databases.

• Proficiency in Python for data analysis and manipulation.

• Experience with Pandas, NumPy, and data visualization libraries.

• Solid understanding of descriptive statistics, time-series analysis, and forecasting methods.

• Strong understanding of data cleaning, transformation, and analytical workflows.

• Strong analytical and problem-solving skills with attention to detail.

• Clear communication of findings to technical and non-technical stakeholders, and strong collaboration skills.

• Comfortable working independently and collaborating asynchronously across a distributed team.

Preferred Qualifications

• Familiarity with Indian agricultural markets, including mandi prices and arrivals, crop varieties, kharif/rabi seasons, and sources such as Agmarknet or data.gov.in.

• Experience with PostgreSQL.

• Experience with Tableau, Power BI, or similar BI tools.

• Experience working with APIs and structured or unstructured data sources.

• Experience supporting data-driven or AI-powered products.

Why Join Farmioc?

At Farmioc, you will work at the intersection of agriculture, data, analytics, commodity markets, and AI. You will analyze real-world agricultural data and help turn it into useful insights, forecasts, and products for agricultural intelligence and decision support.

Equal Opportunity

Farmioc is an equal opportunity employer. We value diverse perspectives and are committed to creating an inclusive workplace where everyone can contribute and grow.