Girls For Girls Africa Mental Health Foundation

Risk Data Analyst

Girls For Girls Africa Mental Health Foundation

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇳🇬 Nigeria

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Salary

💰 NGN 1,327,354 - NGN 1,659,193 per month

Job Level

Mid-LevelSenior

Tech Stack

CloudPythonScikit-LearnSQLTableau

About the role

  • The Risk Analyst uses data analysis, visualization, and modelling techniques to provide insights, identify trends, and detect fraud risks—offering actionable recommendations that strengthen decision-making and operational efficiency across the organization.
  • Creating and maintaining risk-related dashboards for local operations based on programme, donor, and operational needs.
  • Managing and organising data from multiple sources, including those not captured within internal systems.
  • Developing and maintaining reports that triangulate data to support the Risk Management function with information about actors on our platform.
  • Analysing data to detect risk and fraud patterns and reporting these insights to the Risk Management team.
  • Building tools that help local and global teams identify trends, understand risks, and make informed decisions to improve process controls.
  • Supporting donor reporting where needed.
  • Participating actively in meetings and projects, collaborating closely with team members, and staying up to date with the latest data and fraud detection practices.
  • Supporting colleagues and contributing to other projects across the organisation as required.

Requirements

  • Proven hands-on experience managing end-to-end analytics projects.
  • Ability to build dynamic analytical models using advanced formulas in Excel and Google Sheets.
  • Strong SQL skills, including writing complex queries using joins and window functions to validate large datasets.
  • Experience developing interactive dashboards, using table calculations, storytelling features, and advanced filtering.
  • Ability to implement best-practice visualisation design principles and publish dashboards to Tableau Server/Cloud.
  • Proficiency in Python or R for advanced analytics and visualisation (e.g., scikit-learn, matplotlib, Plotly).
Benefits
  • Benefits and allowances tailored to your location.
  • Flexible work arrangements, including remote or hybrid options where applicable.
  • A personal development budget of €500 per year to invest in your professional growth - whether through training, certifications, or career advancement opportunities.
  • 5 days of wellness leave to recharge and prioritise your wellbeing.
  • All public holidays observed in your region.
  • Maternity and parental leave in accordance with your local regulations.
  • Unlimited holidays — as long as you coordinate with your team, you’re good to go!
  • The opportunity to shape a growing, impactful product and leave your mark on how we work.
  • A culture built on trust - we believe you’ll do your best without the need for unnecessary rules or micromanagement.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisdata visualizationdata modelingSQLExcelGoogle SheetsTableauPythonRadvanced analytics
Soft skills
collaborationcommunicationproblem-solvingdecision-makingorganizational skills