About this role

Company Description

SNV is a global development partner, deeply rooted in the countries where we operate. Driven by a vision of a better world where all people live with dignity and have equitable opportunities to thrive sustainably, SNV strengthens capacities and catalyses partnerships that transform agri-food, energy, and water systems. We help strengthen institutions and effective governance, reduce gender inequalities and barriers to social inclusion and enable adaptation and mitigation to the climate and biodiversity crises.

With 60 years of experience and a team of approximately 1,600 people, we support our partners in more than 20 countries in Africa and Asia, tailoring our approaches to different contexts to achieve large-scale impact and create more equitable lives for all.

Our core values of people-centeredness and respect, equity and equality, and diversity and inclusion, are fundamental to who we are, and what we do. This is reflected in our vision and mission, and strategy, which sets out our aspirations and commitments as our compass towards 2030.

For more information on SNV's, please visit our website: www.snv.org .

Context and purpose of the job

The Data Analyst enables BRIDGE+ management and delivery teams to make timely, evidence-based decisions by turning data from multiple components, regions and partners into reliable, accessible and actionable management information.

BRIDGE+ （Building Rural Income through Inclusive Dairy Business Growth in Ethiopia) is implemented by a consortium of SNV, Wageningen University & Research and Agriterra. The program contributes to the transformation of Ethiopia’s dairy sector through multiple technical components, regional structures and partnerships.

The role combines data systems management with advanced analysis and decision support. It is accountable for data architecture, system administration, data processing, technical quality controls, reproducible analysis, dashboards and analytical products, including the effective use of LogAlto and complementary approved tools.

The Data Analyst reports to the Partnership & Performance Advisor. The MEAL function owns the results framework, indicator definitions, monitoring methodology, evaluation and learning processes, and program-level interpretation. The Senior Data Analyst translates these requirements into robust data structures, controls and analytical products. The two functions jointly agree data-quality protocols, reporting calendars and analytical priorities.

Job Description

Planning

- Develop and periodically update the program’s data systems, analytics and visualisation plan in consultation with the Partnership & Performance Advisor and relevant functions.
- Map data systems, tools and flows; identify priorities for integration, automation and improvement.
- Define and maintain data-management procedures, dictionaries, metadata and data-flow documentation.
- Consult intended users to prioritise management-information, analytical and dashboard requirements.

Implementation

- Administer and strengthen LogAlto and other approved data tools, ensuring system functionality, appropriate access and timely dataset updates.
- Design and maintain digital data-collection tools and databases aligned with the results framework and SNV standards.
- Integrate data across components, regions and partners and automate routine processing where feasible.
- Develop, test and maintain decision-oriented dashboards and visualisations, periodically reviewing their accessibility, usability and relevance.
- Apply role-based access, data-sharing, retention, archiving, backup and recovery requirements, and escalate suspected security or confidentiality incidents.
- Resolve data-system issues and maintain version-controlled, reproducible documentation for analytical files, scripts, calculations and dashboard updates.
- Ensure data integrity, privacy, and security in line with SNV, Government and donor data governance protocols.

Monitoring, Evaluation & Reporting

- Translate MEAL-approved indicator definitions, disaggregation requirements and validation rules into practical data structures, controls and documented calculations.
- Lead technical data-quality checks, reconciliation and issue tracking, providing evidence for MEAL-led quality assurance and interpretation.
- Analyse quantitative and qualitative data to identify trends, performance gaps, variations, emerging risks and actionable insights for MEAL-led evaluation and learning processes.
- Prepare analytical briefs, management updates, tables and graphics for periodic, donor and learning reports.
- Analyse assessments, surveys, studies and reviews, documenting sources, methods, assumptions, calculations and limitations.
- Advise management on performance trends, analytical priorities, evidence limitations and investment options for data systems and capacity.

Networking, Learning & Representation

- Develop practical guidance and build the capability of program and partner staff in digital data collection, data quality, analysis, interpretation, visualisation and responsible data use.
- Collaborate with MEAL, component leads, regional teams, Research & Development colleagues and implementing partners to triangulate evidence and generate insights.
- Provide authoritative technical advice on indicator feasibility, disaggregation and data requirements.
- Translate results and analysis into clear visuals and evidence for briefs, presentations and publications.
- Coordinate with corporate data, digital and IT functions and represent BRIDGE+ on technical data and analytics matters.
- Perform other activities as assigned.

Qualifications

Essential qualifications and experience

- Master’s degree in data science, Statistics, Computer Science, Information Systems, Economics, Agricultural Economics or a related field with at least six or more years of relevant experience; or a bachelor’s degree in a relevant field with at least nine years of relevant experience.
- Progressive experience in data analytics, database management and the design and implementation of data systems.

Essential technical competencies

- Advanced Microsoft Excel and Power BI skills, including data modelling, Power Query and DAX; practical SQL skills for querying, joining, validating and transforming relational data.
- Demonstrated proficiency in Python, R or Stata for reproducible data preparation and statistical analysis.
- Strong applied knowledge of statistics, database management, digital data collection, data governance, protection, security, confidentiality and ethical data management.
- Proven ability to design decision-oriented dashboards, explain complex analysis to technical and non-technical audiences, and advise management on evidence and its limitations.
- Demonstrated capacity to train and coach staff and partners and coordinate work across technical and geographic teams.

Desirable experience

- Experience in agriculture, agribusiness, value-chain development or donor-funded programs; familiarity with LogAlto, mobile data-collection tools, Tableau or comparable visualisation software.

Languages and mobility

- Fluency in Amharic and English; additional Ethiopian languages are an advantage.
- Willingness to travel to BRIDGE+ program regions.

Additional Information

Contract Type: National

Expected start date: December, 2026

Duty Station: Addis Ababa, Ethiopia

Contract Duration: The contract is for one year, with the possibility of extension based on performance and budget availability.

How to Apply
If you believe that your credentials meet the outlined profile, we invite you to apply by uploading your CV and a letter of motivation before/on 5th November 2026. Please submit your application only via Smart Recruiters. All information will be kept in the strictest confidentiality.
If we see that your experience and skills match the requirements of the position, we will contact you to advise on the next steps in the recruitment process.

Working at SNV
SNV offers a challenging work environment, opportunities to lead and innovate, and a commitment to growing your skills in a fulfilling and diverse working environment. Our staff benefit form and contribute to, an internal and global network of experts.

At SNV, inclusivity is at the heart of our ethos. We celebrate the diversity of our workforce and uphold a policy of non-discrimination based on factors such as disability status, religion, ethnic origin, gender, sexual orientation, and more.

Vetting
SNV carries out rigorous background and reference checks concerning possible safeguarding incidents for all candidates applying for both national and International determined positions. As SNV participates in the Inter-Agency Misconduct Disclosure Scheme, all reference checks include a request to past employers to fill in a questionnaire regarding Misconduct (sexual exploitation, sexual abuse, or sexual harassment), the “ Statement of Conduct ". This Statement of Conduct adopts the definitions used in the Scheme.

SNV is an equal opportunities employer and female candidates are encouraged to apply.

We do not appreciate third-party mediation based on this advertisement.