Data Analytics Specialist - Talent Pipelining at Flutterwave

Flutterwave was founded on the principle that every African must be able to participate and thrive in the global economy. To achieve this objective, we have built a trusted payment infrastructure that allows consumers and businesses (African and International) make and receive payments in a convenient border-less manner.

We are recruiting to fill the position below:

Job Title: Data Analytics Specialist - Talent Pipelining

Location: Lekki, Lagos
Employment Type: Full Time

The Role

• We are building a pipeline of experienced and motivated Data Analytics Specialists for future opportunities within Flutterwave.  
• We require individuals who are passionate about data, driven to make a  difference, and eager to solve complex problems.
• In this role, you will have the opportunity to analyze data, provide insights, and drive decision-making.
• You will be a key member of the team and will play a vital role in shaping the future of our company.

Principal Duties and Responsibilities

• Develop and deliver analytics reporting and Business Intelligence dashboards and reports as required by business areas
• Interpreting data and analysis into impactful, action-orientated insights for internal stakeholders
• Promote a data-driven mindset and collaborate with stakeholders in defining business problems and delivering analytics solutions that produce tangible business results
• Develop strong cross-functional partnerships across the company (Engineering, Product, Finance, Marketing, Operations, etc.)
• Support the team and/or other analysts in the design, construction, and implementation of appropriate analytical processes which support business objectives.
• Interface with business teams to understand their data requirements and provide them with actionable insights and reports.
• Communicate key findings and insights to both technical and non-technical stakeholders using storytelling techniques
• Develop predictive models and machine learning algorithms to address business challenges (e.g., customer churn, fraud detection, revenue forecasting).
• Conduct statistical analyses, hypothesis testing, and A/B testing to support decision-making processes.
• Implement and optimize machine learning models using tools such as Python or R.
• Ensure personal information of customers, employees, and other individuals the company conducts business with is processed and protected in line with applicable data privacy policies, privacy laws, and global best practices.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field.
• 3+ years of experience in data analysis, data science, or a similar role.
• Proven track record of applying data science techniques to solve business problems.

Skills & Competencies:

• Experience with Power BI, Tableau, or similar tools for data visualization.
• Expertise with SQL with knowledge of cloud data warehouses. 
• Experience with Python is highly desirable
• Experience in building statistical models and machine learning is a strong plus.
• Understanding of machine learning algorithms and their practical applications (e.g., regression, classification, clustering).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their associated data services is a plus.
• Ensure personal information of customers, employees, and other individuals the company conducts business with is processed and protected in line with applicable data privacy policies, privacy laws, and global best practices.

Soft Skills:

• Excellent communication and presentation skills, with the ability to explain technical concepts to a non-technical audience.
• Strong stakeholder management skills, with the ability to work across multiple teams.
• High attention to detail and commitment to accuracy.
• Strong attention to detail, results-driven with high accuracy of output
• A strategic and tactical thinker with strong problem-solving and analytical skills.
• Able to manage multiple cross-functional projects across different departments.

Application Closing Date
Not Specified.