Data Analyst

Key Responsibilities

• Collect, clean, and validate data from multiple sources (databases, APIs, spreadsheets, IoT sensors, remote sensing, etc.).
• Conduct exploratory and advanced data analysis to identify trends, patterns, and anomalies, including

  agriculture and farm-related datasets (crop yield, soil, weather, and satellite imagery)

  .
• Develop dashboards and reports using tools like Power BI, Tableau, or Superset.
• Design of data analytics dashboards and wireframe design in Figma.
• Work closely with client and business teams to define KPIs, track performance, and generate insights, with emphasis on

  agriculture projects

  .
• Write and optimize SQL queries for data extraction and transformation.
• Work closely with other database team members to ensure data quality, consistency, and automation.
• Present findings to stakeholders using clear visualizations and storytelling.
• Support predictive and statistical modelling projects (basic ML/forecasting exposure preferred), including

  agriculture-focused forecasting (yield prediction, demand estimation, climate impact analysis)

  .

Required Skills & Qualifications

• Bachelors degree in Computer Science, Statistics, Mathematics, Economics, Agriculture, or related field.
• 3+ years of experience as a Data Analyst or in a similar role.
• Experience with PostgreSQL database.
• Hands-on experience with BI tools (Tableau, Power BI, Superset, or similar).
• Experience with Data Analytics Platform Design and Figma.
• Strong proficiency in SQL (writing complex queries, joins, aggregations).
• Proficiency in Excel (advanced formulas, pivot tables, macros).
• Good knowledge of Python or R for data manipulation and analysis.
• Strong analytical thinking and problem-solving skills.
• Experience with statistical concepts (correlation, regression, hypothesis testing).
• Excellent communication skills for conveying technical insights to non-technical stakeholders.
• Exposure to

  agri analytics, GIS, or environmental datasets

  will be an added advantage.

Preferred Skills

• Experience with big data tools.
• Knowledge of ETL pipelines and data warehousing concepts.
• Exposure to cloud platforms (AWS, Azure, GCP).
• Basic knowledge of machine learning or predictive modelling.
• Familiarity with

  agri-tech use cases such as farm management systems, carbon credits, or supply chain traceability

  .