Summary: The role of a data analyst is to develop strategies for the clients (growers and buyers) by leveraging data management principles. By conducting experiments/doing research/analysing the data harnessed by the platform (as well as external data sources), the data analyst should be able to highlight market insights, generate key reports and design functional requirements that meet clients needs. Responsibilities: Data Analysis, Data Visualisation, Reporting, Data Quality and Integrity, Statistical Analysis and collaboration. Assist in the collection, analysis, and interpretation of data from various sources. Support the development of reports and dashboards to facilitate data-driven decision-making. Participate in data quality assurance and cleaning processes. Collaborate with different teams to understand data needs and deliver insights. Report/Dashboard specification, design and generation. Work closely with key clients to understand their pain points, from a data management and reporting perspective. Determine functional requirements to develop to meet client needs. Develop mock-up designs. Develop a sound understanding of the data value chain to highlight areas for improvement (data -> information -> knowledge -> actionable insights). Using this knowledge to develop strategies for our clients which will translate into optimal returns, e.g., pricing mechanisms, packing planning, logistics optimisation. Distilling insights into key reports, automating manual processes through scripting tools and features (using scripting languages like Python). Identify data sources that could be leveraged to determine the impact of external factors on grower/buyer strategies as mentioned above. Understand the impact of macroeconomic effects (e.g., economic policy changes in foreign countries), market prices (as measured in indices on stock exchanges or retail prices) or logistics operations on the supply chain for our clients Requirements: Good knowledge of data analysis tools and methodologies. Familiarity with programming languages such as Python or R, and SQL (Required). Experience with data visualisation tools (e.g., Metabase, Betabase Power BI) and dashboard development Strong analytical skills and attention to detail. Excellent problem solving and organisational ability. Proven ability to be part of a team and collaborate across departments. Must be able to build strong internal client relationships. Education: Preferably a degree in a relevant field (e.g., Statistics, Computer Science, Economics, Information Systems). Ready to grow ? Apply now and become a vital part of an innovative team, shaping the future of agricultural technology. We can't wait to see what you'll bring to the table
