The role of a data analyst is to synthesise strategies for our clients (growers and buyers) by leveraging data management principles. By conducting experiments, doing research, and analysing the data harnessed by the AG1 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. Preferably, a solid foundation of the AG1 platform and how it integrates with client business processes is required.
OBJECTIVES (main duties and responsibilities)
- Report/Dashboard specification, design and generation
- Work closely with key clients (or AG1 client strategy partners) to understand their pain points, from a data management and reporting perspective.
- Determine functional requirements to develop platform features to meet client needs.
- Create/Define specifications for key product features by translating between stakeholders (AG1 management team, product development team, and clients – buyers and growers).
- 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).
- Explore new technologies to implement solutions.
- Conduct market/data research
- Identify data sources that could be leveraged to determine the impact of external factors on grower/buyer strategies.
- Distil market factors into articles to be used by growers which will inform their strategies.
- 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.
ROLE REQUIREMENTS
Formal Qualifications
- Preferably a degree in Computer Science, Mathematics, Engineering, Business Administration (BBA), or Information Systems.
Knowledge, Skills & Experience
- Intermediate to advanced level of data skills (e.g. data wrangling, exploratory data analysis (EDA), experiment design, SQL).
- Ability to learn new technologies and contribute to a central codebase.
- Experience with version control systems (e.g. Git) and agile software development methodologies.
- Excellent problem-solving and organisational ability.
- Proven ability to be part of a team and collaborate across departments.
- Strong numerical and analytical skills.
- Demonstrated ability to communicate and influence credibly and effectively at all levels.
- Ability to work under pressure.
- Proven verbal and written communications skills in English.
- Must be able to build strong internal client relationships.
- Excellent attention to detail.
CULTURE
- Someone to enhance the positive company culture with a high emphasis on morals, values, and diversity.
- Preferably someone with a passion for/experience in the agriculture and/or logistics & technology industries.
- A go-getter that can grow with the company.
COMPANY OVERVIEW
Visit our About Us page to discover more about our culture, work ethic, and vision.
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