Data Systems, Quality & Governance Specialist

Key Responsibilities

Data
Governance and Quality Assurance

• Design,
  operationalise and oversee the data governance function within the
  organisation.
  
• Enable and
  support data governance processes, including data availability,
  accessibility, integrity, quality (including accuracy, consistency, and
  reliability), usability, security, and compliance (in collaboration with
  IT and legal teams).
  
• Assist with
  regular data cleaning and quality checks to ensure high data integrity
  
• Develop and
  maintain documentation, SOPs, and metadata to support consistent and
  high-quality data management.
  
• Design data
  quality dashboards and set up regular monitoring and review alerts.
  
• Work within
  the organisation to enhance data literacy, improve existing data processes
  and workflows and support future data process design and development.
  
• Work across
  teams to roll out data quality improvement plans, design processes to
  collect missing data or improve data accuracy.
  
• Facilitate
  cross-functional collaboration to improve data practices, including
  onboarding sessions, governance workshops, and learning events.
  
• Conduct
  assessments of key data assets and identify potential risks or gaps,
  including data process mapping.
  
• Coordinate and
  lead data governance efforts, including defining data ownership, steward
  roles, and accountability structures across operational teams.
  
• Support
  product stewardship for key data platforms, ensuring alignment between
  data processes, user needs, and platform functionality.
  
• Lead or
  support change management processes for data tools and structures,
  ensuring stakeholder alignment and minimising disruption.
  
• Monitor data
  hygiene and escalate discrepancies to the relevant team members. 
  

Data
Analysis and Insights Generation

• Conduct data
  analysis to support strategic decision-making and programme improvements.
  
• Respond to
  data requests from programme teams and leadership.
  
• Conduct
  routine data checks to ensure data integrity.
  
• Identify
  patterns and trends in data and provide clear summaries for different
  audiences.
  
• Support the
  preparation of data insights briefs and reports.
  
• Create,
  enhance and support the use of interactive dashboards and analytics tools
  to improve data-driven decision-making across the organisation and
  network. 
  

Supporting
Organisational Learning and Adaptive Strategy

• Assist with
  enabling teams to leverage insights for learning and programme
  improvement.
  
• Contribute to
  rapid experimentation by supporting data collection and analysis
  processes.
  
• Support the
  delivery of basic data literacy training across the organisation to
  improve data engagement and interpretation.
  
• Support teams to improve data capturing, quality assurance and
  related processes.
  
• Translate data
  insights into accessible formats for programme teams and leadership.
  

Research
and Evaluation Support

• Support the
  Senior Data Analyst and Research team with research design, data analysis,
  and interpretation.
  
• Assist in
  co-conceptualising and co-creating research and evaluation questions,
  studies, and terms of reference.
  
• Provide input
  into research reports and recommendations.
  

Requirements

Essential
Skills and Experience

• A minimum of a
  Bachelor’s degree in Statistics, Social Sciences, Economics, Mathematics,
  or a related field.
  
• At least 6-8
  years of experience in data analysis, data management or a related field,
  including experience where you have had ownership over the data process,
  and demonstrable leadership experience.
  
• Strong
  quantitative and analytical skills
  
• A curious
  approach to technology, with interest and experience working across
  multiple tools to solve organisational challenges.
  
• Excellent
  knowledge of and ability to work with SQL databases.
  
• Experience
  with data visualisation tools (e.g., Power BI, Tableau).
  
• Ability to
  summarise data insights and communicate findings to non-technical
  audiences.
  
• Experience in
  managing and working with large datasets.
  
• Strong
  attention to detail and accuracy.
  

Desirable

• Knowledge of
  statistical principles, especially relating to designing and running
  randomised control trials.
  
• Experience
  working in a social impact or nonprofit context.
  
• Proficiency in
  Excel and at least one statistical tool (e.g., Stata, R, SPSS).
  
• Familiarity
  with survey software (e.g. SurveyCTO), CRMs (Microsoft Dynamics), and
  Azure.
  
• Basic
  knowledge of data process mapping and workflow optimisation.
  
• Knowledge of
  automation using code and/or workflow tools (Make.com, Zapier, Power
  Automate etc.)