Data Analyst Consultant at Nailab

Project Scope
The assessment aims to:

• Conduct a comprehensive mapping exercise to identify innovative solutions that have leveraged technology and have a clear business model for sustainable outcomes in SRHR with the aim of scaling and linking them to funding opportunities.
• Develop an investor toolkit with data showcasing high-impact SRHR innovations with robust metrics on the business model, scalability, sustainability, alignment with relevant SDGs, and the potential to attract funding/investment.
• Facilitate connections and foster a collaborative ecosystem between impactful SRHR innovations and social impact investors and funders.
• Understand the current landscape, highlight successful innovative solutions, and provide strategic recommendations to enhance the adoption and scale-out of SRHR innovations.

Objectives

• The initiative is firmly committed to improving Sexual and Reproductive Health and Rights (SRHR) outcomes across Africa. This mapping exercise directly aligns with that commitment by identifying and supporting impactful and self-sustainable innovations that leverage technology to address critical SRHR challenges.

Expected Outputs

• A detailed plan and methodology for analyzing the data collected.
• A structured and organized database of innovative SRHR solutions, including metrics on their impact, scalability, sustainability, and alignment with relevant SDGs.
• A structured and organized database of Investors, donors and funders with a keen interest in funding SRHR social impact enterprises
• A detailed report documenting lessons learned alongside policies and advocacy roles in the advancing innovations in particular markets in Africa. With key highlights summarizing the analysis of the collected data, including key findings, successful innovations, and recommendations for enhancing SRHR technology-based solutions in Africa.
• Investor toolkit: Data and insights for the investor toolkit template, showcasing high-impact SRHR investors clearly indicating their thematic focus and details as well as innovations show casing high scalable impact focus with robust metrics on business model, scalability, sustainability, alignment with relevant SDGs, and potential to attract responsible investment.

Consultant Deliverables
Data Analysis

• Develop a methodology for categorizing and analyzing SRHR technology solutions based on:
  • Technology type (mHealth apps, telemedicine, etc.)
  • SRHR focus area (information access, service delivery, etc.)
  • Geographic reach
  • Scalability potential
  • Sustainability model
• Analyze the data collected by the research officer and the Nailab team on existing SRHR innovations and technologies within selected African countries to identify trends, gaps, and promising scalable social impact enterprises.
• Develop a comprehensive database of innovative SRHR social impact enterprises based on the collected data, including their impact, scalability, sustainability, and the challenge they are solving.

Investor Toolkit Template:

• Develop a database of funders initiatives and investors keen on funding SRHR social impact enterprises.
• Develop a template to showcase high-impact SRHR innovations for potential investors.
• The template should include key metrics on the:
  • Scalability
  • Financial sustainability - Business model
  • Impact - alignment with relevant SDGs
  • Investment potential

Strategic Insights

• Provide strategic insights based on data analysis to enhance the adoption and scale-out of identified SRHR innovations.
• Identify potential areas for policy and regulatory improvements to support SRHR innovations.

Data Analysis Report

• Produce a detailed report on the mapping and analysis findings and share recommendations for enhancing SRHR technology-based solutions in Africa.
• Include case studies of notable SRHR innovations and their impact.

Key Qualifications

• Bachelor's degree in Data Science, Statistics, or equivalent from a related field.
• Minimum 5 years of experience in data analysis and visualization.
• Experience working with social impact data research and documentation is a plus.
• Strong understanding of data cleaning and validation techniques.
• Excellent analytical and problem-solving skills.
• Proficient in data analysis tools (e.g., R, Python, Excel).
• Strong communication and reporting skills.
• Ability to work independently and meet deadlines.
• Clear communication skills.