Principal Tasks and Responsibilities:
● Develop, maintain, and enhance self-service BI tools and dashboards to empower
teams with actionable insights.
● Collaborate with cross functional teams to identify and understand data requirements,
build dashboards and tailored reports, generate insights, and answer business questions.
● Communicate data findings to key stakeholders and senior management in a clear
and concise manner.
● Help Good Nature Agro refine our data to monitor progress towards our goal as a “full
farm partner” for farmers and our mission of “moving smallholder farmers from
poverty into the middle class”.
● Assist in the development and refinement of data-driven performance indicators,
targets, and data collection tools to measure project progress and outcomes.
● Design sample surveys and research to explore questions that we do not capture in
our core farmer tracking system, including the use of comparison groups.
● Program surveys into data collection apps and train staff on research and
enumeration for monitoring and evaluation activities.
● Collaborate in the design and development of data collection forms, surveys, and
tools and support their implementation ensuring data quality and accuracy.
● Build and maintain company KPI dashboards across the business and individual
business units.
● Leverage Machine Learning (ML) and Artificial Intelligence (AI) techniques to develop
predictive and prescriptive analytics models for crop yield predictions, disease
detection, and resource optimization.
● Implement and monitor data governance frameworks, defining clear roles and
responsibilities.
● Support data-driven initiatives by providing analytical expertise to departments across
the organization.
● Develop and enhance data management processes, including data collection,
transfer, entry, and cleaning.
Essential Requirements:
● Bachelor’s Degree or above in Data, Business, Statistics, Science, IT or related field.
● Minimum 2 years of experience working in Data/Analytics, Business Intelligence, M &
E or related roles.
● Experience in Agricultural related industry is an added advantage.
● Strong analytical, communication, problem solving and decision-making skills.
● Strong skills in advanced analytics, including predictive modeling and machine
learning applications.
● A strong collaborative spirit and team player, able to build effective work relationships
across teams and levels of seniority.
● Proficiencies required in: Python/R, SQL, Tableau/Power BI, Data collection and
analysis tools.
● Superior Skills in data analysis, presentation/visualization and reporting.
● Knowledge of statistics and experience using statistical packages for analyzing
datasets (Excel, SPSS, SAS, STATA etc.) is a plus.
● Excellent attention to detail and commitment to quality and accuracy.
● Excellent knowledge of Microsoft Office products (Word; Excel).
● Fluent in written and spoken English