Data Analyst
Company Description Ramdas Athavale magaswargiya kapus utpadak shetsahkari is a cooperative organization focused on supporting cotton producers through efficient operations and data-informed decision-making. The organization is committed to improving productivity, profitability, and transparency for its members and stakeholders. It emphasizes the use of modern tools and analytical methods to optimize processes and resource utilization. Joining the team offers candidates the opportunity to contribute to the growth of an agriculture-focused cooperative while working with data to drive measurable impact.
Role Description The Data Analyst is a full-time, on-site role based in Nagpur. The person in this position will collect, clean, and analyze operational and financial data to identify trends, patterns, and improvement opportunities. Daily responsibilities include building and maintaining reports and dashboards, supporting data-driven decisions, and collaborating with management to translate business questions into analytical tasks. The role also involves validating data quality, preparing summaries and visualizations for stakeholders, and documenting methodologies and findings. The Data Analyst will work closely with cross-functional teams to ensure insights are clear, actionable, and aligned with organizational goals.
Qualifications
- Candidates should possess strong Analytical Skills and Data Analytics capabilities for interpreting complex datasets and generating actionable insights.
- Candidates should possess a solid foundation in Statistics to design analyses, validate results, and support evidence-based decisions.
- Candidates should possess proficiency in Data Modeling for structuring data, building models, and supporting reporting and forecasting needs.
- Candidates should possess effective Communication skills to present findings clearly to non-technical stakeholders and collaborate across teams.
- Proficiency with spreadsheets and data tools (e.g., Excel, SQL, BI tools) and familiarity with data visualization best practices.
- Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Data Science, Computer Science, or a related discipline.
- Ability to work independently on-site in Nagpur, manage multiple priorities, and maintain accuracy and attention to detail.
- Experience in agriculture, cooperative societies, or related sectors is beneficial but not required.