Job Description

The Data Analyst will support RURA’s evidence-based regulatory approach by conducting descriptive and exploratory analyses on datasets sourced from various entities across Rwanda. The role involves cleaning and preparing data, performing analytical tasks to uncover trends and insights, and effectively visualizing results to inform policy, operations, and regulatory decisions. The analyst will collaborate with internal teams and external data providers to ensure data quality and deliver actionable findings aligned with RURA’s strategic objectives.

Responsibilities

KEY RESPONSIBILITIES

• · Work with RURA’s internal teams and external partners to define and plan data analysis activities aligned with regulatory goals.
• · Conduct descriptive and exploratory analysis on large and complex datasets to uncover trends, patterns, and insights relevant to regulation and service delivery.
• · Perform data landscaping across government and regulated sectors to identify available datasets, assess their quality, and evaluate potential for analysis.
• · Evaluate data quality and completeness, and recommend techniques or standards to improve accuracy, consistency, and usability.
• · Merge and harmonize datasets from multiple sources to enable comprehensive, multi-dimensional analysis.
• · Create visualizations, dashboards, and summary reports to communicate analytical findings clearly to both technical and non-technical stakeholders.
• · Maintain clear documentation of data sources, analysis methods, and results, ensuring transparency and reproducibility of work.
• · Ensure compliance with Rwanda’s legal and regulatory frameworks for data use, including personal data protection and confidentiality requirements.

Requirements

Required Qualifications:

Education and Experience:

• A Master’s degree in data science, statistics, applied mathematics or computer science.

Or

• Minimum of a Bachelor's degree in data science, statistics, applied mathematics or computer science with at least 3 years of relevant experience.  
• · A post-graduate degree in data science, statistics, applied mathematics, computer science, or a related field.
• · One to three years of experience working on data-centric projects, preferably in research, public policy, or regulatory environments.
• · Demonstrated ability to extract, clean, and transform complex datasets, and collaborate with data owners to understand data structures and limitations.
• · Proficient in working with both OLAP and OLTP databases such as Clickhouse, MySQL, PostgreSQL, or similar.
• · Willingness and ability to work in Linux-based server environments, including basic scripting and data processing from the command line.
• · Strong programming skills in R or Python (or a comparable language), especially for data manipulation, visualization, and statistical analysis.
• · Experience with data visualization tools (e.g., Power BI, Tableau, or ggplot/seaborn/matplotlib) is an asset.
• · Strong analytical thinking, communication skills, and the ability to translate data insights into actionable recommendations for diverse audiences.
• · Knowledge of data privacy, ethical data use, and Rwanda’s legal frameworks on personal data protection is a plus.

SKILLS AND COMPETENCIES

• · Data Analysis & Interpretation: Ability to explore, analyze, and derive insights from structured and unstructured datasets using statistical methods.
• · Programming Skills: Proficient in R or Python for data cleaning, transformation, analysis, and visualization.
• · Database Querying: Skilled in writing SQL queries to extract and manipulate data from relational databases (e.g., Clickhouse, PostgreSQL, MySQL).
• · Data Visualization: Experience with creating clear and compelling data visualizations using tools like Power BI, Tableau, matplotlib, seaborn, or ggplot2.
• · Statistical Literacy: Solid understanding of statistical techniques and concepts (e.g., distributions, confidence intervals, hypothesis testing).
• · Data Wrangling: Skilled at handling real-world data issues such as missing values, inconsistent formats, and messy text fields.
• · Communication: Ability to present findings clearly to technical and non-technical stakeholders through written reports, dashboards, and presentations.
• · Documentation: Comfortable documenting methodologies, data sources, and analytical processes to ensure transparency and reproducibility.
• · Problem-Solving: Strong analytical thinking and ability to develop clear problem statements and data-driven approaches to complex challenges.
• · Data Governance Awareness: Understanding of data quality principles, data protection regulations, and ethical data use in the Rwandan context.
• · Collaboration: Experience working across teams and institutions, with a willingness to learn from and support colleagues.
• · Self-Learning: Curious and proactive about learning new tools, methods, and sector-specific applications of data.

CANDIDATE PROFILE

• · Possesses strong problem-solving skills and attention to detail.
• · Works well independently and collaboratively.
• · Has a solid grounding in statistics and probability.
• · Can work with both structured and unstructured data sources.
• · Is capable of framing analytical problems, building data-driven solutions, and communicating insights clearly.
• · Brings a creative and enthusiastic approach to uncovering insights that address real-world or economic challenges.