Data Engineer & Analytics Specialist at Victory Farms

Key Responsibilities:

Data Pipelines & Data Architecture

1. Design, build, and maintain data pipelines from ERPNext and related systems into the analytics warehouse (e.g., Snowflake)
2. Extract and transform core business data, including finance, inventory, procurement, sales, HR, and operations
3. Develop and maintain clean, well-documented data models (fact tables, dimensions, marts) aligned to business reporting needs
4. Ensure data accuracy, consistency, and historical integrity across all pipelines
5. Monitor pipeline health and resolve data breaks, latency, or reconciliation issues

Automation & Data Operations

1. Automate data ingestion, transformations, and refresh schedules across the stack
2. Build data quality checks, validations, and exception alerts (e.g., missing data, outliers, reconciliation mismatches)
3. Automate recurring operational reports and refresh cycles for dashboards
4. Reduce manual spreadsheet-based processes through scripted or scheduled workflows
5. Maintain clear documentation of data sources, logic, and dependencies

Analytics, Reporting & Business Insights

1. Develop and maintain Power BI dashboards and reports for finance, operations, HR, and leadership
2. Partner with business stakeholders to define KPIs, metrics, and reporting logic
3. Translate ERP transactions into meaningful performance indicators and trends
4. Support ad-hoc analysis, management reporting, and executive decision-making
5. Ensure reports are intuitive, trusted, and aligned to a single source of truth

Tools & Technologies

1. ERP & Source Systems: ERPNext and integrated operational systems
2. Data Warehouse: Snowflake (or similar cloud data warehouse)
3. Analytics & BI: Power BI (DAX, data modeling, dashboards)
4. Data Transformation: SQL, scripted transformations, data modeling frameworks
5. Automation & Scheduling: Scheduled jobs, APIs, connectors, or workflow tools

Qualifications

1. Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
2. 3+ years of experience in data modelling and analysis, with a focus on visualization tools such as Power BI development and tabular data modeling.
3. Proficiency in data analysis tools and programming languages such as SQL, Python, R, DAX or similar.
4. Automation mindset with attention to data quality and reliability
5. Strong understanding of data governance principles, compliance requirements, and best practices.
6. Strong analytical and problem-solving skills, with a keen attention to detail.
7. Ability to work independently and manage multiple projects in a fast-paced environment.
8. Proven track record of leading and delivering complex data analysis projects from inception to completion.
9. Ability to communicate clearly with both technical and non-technical stakeholders
10. Certification in Power BI, Snowflake, or related technologies is a plus.

Benefit:

1. Visibility into the world’s fastest growing aquaculture company.
2. Ideal for a candidate looking to dive into a mission-oriented Organization.
3. The team is committed to the candidate’s success and will provide coaching, mentorship, and unique exposure to people and experiences that come from the most successful leaders in the entrepreneurial community and the social sector.

How to Apply

Please send your 2-page CV and cover letter expressing your interest and qualifications to recruit@victoryfarmskenya.com indicating Data Engineer and Analytics Specialist as the email subject.