Data Analytics Engineer, Consultant at Irembo Ltd

Kigali, Kigali City, Rwanda -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Analytics Engineering, Business Intelligence, SQL, Python, BI Tools, Data Transformation, Analytical Mindset, M&E Frameworks, Kinyarwanda, AI Metrics, NLP, Data Privacy, Data Governance, Data Quality, Impact Analysis

Industry

IT Services and IT Consulting

Description

Irembo is a technology company that designs and develops digital products to ease the accessibility of services in users’ everyday lives worldwide, starting with Rwanda. Our pioneer products, IremboGov and IremboPay, have enabled Rwandan citizens and foreigners to access and pay for over 150 public services online through our one-stop-shop e-governance and payment platforms. To date, we have facilitated over 30 million transactions through our platforms and have ambitious goals to scale our technology worldwide to enable more governments and institutions to serve their citizens better. More information is available on irembo.com. Location: Kigali, Rwanda, or Remote. Duration: 10 months. Terms of Reference - Data Analytics Engineer, Consultant The Opportunity Irembo is seeking a detail-oriented Data Analytics Engineer to drive the Monitoring & Evaluation (M&E) framework for the "IremboAI" initiative. This project aims to transform public service delivery through a Multilingual Chatbot and Voice Assistant. In this role, you will sit at the intersection of data engineering and business analysis. You will be responsible for transforming raw data from voice logs, chatbot interactions, and service applications into actionable insights. Your primary focus will be building the analytical infrastructure to measure the project's success against strategic objectives (e.g., accessibility reach, error reduction, and digital literacy impact). Key Responsibilities: M&E & Impact Reporting KPI Tracking: Design and maintain automated dashboards to track critical project metrics, specifically: Inclusivity, Efficiency, and Adoption. Impact Analysis: Conduct deep-dive analyses to validate if voice interactions are effectively reducing barriers for users, mainly for users in rural, low literacy, or with disabilities. Analytics Engineering & Data Pipelines Data Modeling: Build and maintain production-grade data models (using SQL/dbt) to transform raw logs from the AI Chatbot and Voice Assistant into analysis-ready datasets. Pipeline Management: Orchestrate data flows from operational databases and AI inference logs into our data warehouse/lakehouse for reporting. Data Quality: Implement automated tests to ensure the accuracy and consistency of reporting data, ensuring that M&E reports are based on a "single source of truth." AI Performance Monitoring Conversation Analysis: Analyze conversation logs to identify high-friction points, user drop-offs, and misunderstanding rates in Kinyarwanda voice inputs. Error Rate Reduction: Collaborate with Product Managers to identify specific user errors and measure the effectiveness of AI interventions in reducing them (Target: 40% reduction). Data Privacy & Governance PII Management: Ensure all analytics datasets are anonymized in compliance with Rwandan data protection laws, specifically regarding sensitive citizen data used for impact reporting. Qualifications: Required Skills & Experience Experience: 3+ years in Data Analytics, Analytics Engineering, or Business Intelligence. Technical Proficiency: SQL: Expert-level SQL skills for complex querying and data modeling. Python: Proficiency in Python for data manipulation and scripting. BI Tools: Strong experience with visualization tools (e.g., Metabase, Power BI, Tableau, or Superset). Transformation: Experience with data transformation tools like dbt (data build tool). Analytical Mindset: Proven ability to translate vague business questions into concrete quantitative metrics. Preferred Skills M&E Experience: Prior experience working on social impact projects or designing M&E frameworks for international development standards. Language: Knowledge of Kinyarwanda is highly preferred to understand the context of voice/chatbot data analysis. AI/NLP Metrics: Familiarity with evaluating NLP model performance (WER, precision/recall, intent classification accuracy). Infrastructure: Familiarity with on-premise data stacks. Please note that the salary for this position is commensurate with experience and qualifications and will be discussed during the interview process. Application Deadline December 7, 2025 We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate. We're on a mission to change our continent through technology and are committed to a diverse and inclusive workplace and strongly encourage applicants from all backgrounds, nationalities, and walks of life. Our head office is based in Kigali, Rwanda.

Responsibilities

The Data Analytics Engineer will drive the Monitoring & Evaluation framework for the IremboAI initiative, focusing on transforming raw data into actionable insights. Responsibilities include designing automated dashboards, conducting impact analyses, and ensuring data quality for reporting.