Never pay for any notarisation, certificate or assessment as part of any recruitment process. When in doubt, contact us
Founded in October 2021, Vermi-Farm Initiative emerged from a deep understanding of the challenges facing smallholder farmers in Kenya. Our founders, having witnessed firsthand the struggles of rural communities, envisioned a future where sustainable agriculture could transform lives.
What started as a small pilot project in Igoji has grown into a compreh...
What You Will Do
- Own the sales strategy: Develop and implement the sales strategy, targets, territories, channels, and priorities for Vermi-Farm's products and services.
- Build and manage the pipeline: Run a structured pipeline covering farmer products, digital products, financial or wallet-linked services, partnerships, and other approved revenue streams.
- Lead acquisition and conversion: Drive customer acquisition through field teams, Village Champions, partnerships, referrals, digital channels, and other practical channels.
- Set targets and track performance: Set sales targets and performance indicators for sales staff and field-facing commercial teams, and monitor results against them.
- Standardize how we sell: Develop sales processes, scripts, product messaging, follow-up workflows, and conversion practices that teams can use consistently.
- Align with Operations & Finance: Align sales plans with stock, service capacity, pricing, payment terms, collections, budgets, and cash-flow considerations.
- Keep accurate sales records: Ensure leads, prospects, customers, orders, payments, and follow-ups are captured in the appropriate systems.
- Analyze and improve: Analyze sales performance, acquisition costs, conversion rates, repeat purchases, revenue trends, and channel performance, and use the findings to improve execution.
- Build strategic relationships: Build and maintain relationships with strategic customers, partners, institutions, aggregators, agro-dealers, and other commercial stakeholders.
- Coach the sales team: Coach, coordinate, and support sales personnel and field-based commercial actors, including setting expectations and reviewing performance.
- Work with MEL and Data: Ensure sales data is reliable, traceable, and useful for management decisions and impact reporting.
- Find new market opportunities: Give management practical recommendations on products, pricing, channels, customer segments, and partnerships.
- Support customer retention: Make sure customer feedback, complaints, product experience, and repeat-use patterns reach the relevant teams.
- Forecast and report: Prepare regular sales forecasts, performance reports, pipeline reviews, and management updates for Operations & Finance.
- Sell ethically: Conduct sales activities consistently with Vermi-Farm's values, policies, customer commitments, and applicable requirements.
Who We're Looking For
A Bachelor's degree in Business Administration, Sales and Marketing, Commerce, Economics, Agribusiness, Management, or another relevant field is preferred. Professional qualifications in sales, marketing, business development, or related areas are an added advantage.
- Three to five years of relevant experience in sales, business development, commercial operations, agribusiness, financial inclusion, technology, FMCG, or a related field
- Demonstrated experience managing sales targets, pipelines, customer acquisition, or revenue-generation activities
- Strong communication, negotiation, presentation, and relationship-management skills
- Practical experience using CRM, sales tracking, spreadsheets, dashboards, or related business systems
- Strong numerical and analytical ability, including interpreting sales and financial performance information
- Ability to coach and coordinate field-facing teams and hold people accountable to agreed targets
- Strong judgment and discipline around pricing, payment terms, collections, and customer commitments
- Ability to work across departments and translate commercial priorities into practical field execution
- Willingness and ability to travel regularly within Kenya
go to method of application »
About the Role
The Data Analyst will support Vermi-Farm Initiative's MEL function by turning operational, program, farmer, sales, and financially relevant data into accurate analysis and useful insight. Reporting to the MEL Officer, the role will help strengthen data workflows, data quality, dashboards, routine reporting, and analytical processes.
The position is intended to make data easier to trust and easier to use, while supporting the organization to understand farmer journeys, program performance, commercial activity, and operational trends.
What You Will Do
- Maintain reliable data systems: Support the MEL Officer in maintaining reliable data systems, datasets, analytical workflows, and reporting processes.
- Clean, validate, and reconcile data: Work with data from farmer registration, program activities, sales, finance, digital platforms, field teams, and other approved sources.
- Run routine data quality checks: Document errors, inconsistencies, missing values, duplicates, and the correction actions taken.
- Build dashboards and reports: Develop and maintain dashboards, reports, data summaries, and visualizations for management, MEL, programs, operations, and other authorized users.
- Analyze farmer and commercial performance: Analyze enrollment, participation, service uptake, retention, productivity, transactions, sales, and other agreed performance indicators.
- Support learning analysis: Support the MEL Officer with cohort analysis, trend analysis, comparison of intervention pathways, and other analytical work for learning and decision-making.
- Translate findings into action: Turn analysis into clear summaries, charts, tables, and practical recommendations for non-technical stakeholders.
- Improve data collection: Identify recurring data-entry problems and help improve forms, validation rules, data definitions, and workflows.
- Document your work: Maintain clear documentation of datasets, indicators, calculations, assumptions, data sources, and reporting logic.
- Work with Product/Technology: Support data integrations, exports, database queries, system improvements, and reporting requirements where appropriate.
- Reconcile with Finance and Operations: Reconcile relevant operational and financial data and flag material discrepancies for review.
- Support periodic reporting: Help prepare MEL reports, management packs, board materials, partner reports, and other evidence products as directed by the MEL Officer.
- Protect data confidentiality: Protect the confidentiality and integrity of applicant, farmer, customer, staff, and program data, and follow approved data-access procedures.
- Strengthen the data culture: Help staff understand definitions, dashboards, indicators, and the responsible use of data.
- Other analytical assignments: Undertake other analytical and data-management assignments that support MEL and organizational learning priorities.
Who We're Looking For
A Bachelor's degree in Statistics, Data Science, Economics, Mathematics, Information Technology, Computer Science, Monitoring and Evaluation, Business Analytics, or another strong analytical discipline is preferred. A relevant diploma combined with strong practical analytical experience may also be considered.
- Two to four years of relevant experience in data analysis, MEL, business intelligence, reporting, research, or a related area
- Strong Excel or Google Sheets skills and practical experience with structured datasets
- Experience with one or more of Power BI, Tableau, SQL, Python, R, SPSS, Stata, or similar tools
- Experience cleaning, validating, reconciling, and analyzing data from multiple sources
- Strong attention to detail and a disciplined approach to data quality
- Ability to build clear dashboards and explain findings to non-technical users
- Good understanding of descriptive statistics, trends, segmentation, comparisons, and basic analytical methods
- Strong written and verbal communication skills
- Ability to work with field teams and understand practical data-collection realities
- High standards of confidentiality, accuracy, integrity, and responsible data use