FairMoney Jobs
Jobs in Nigeria at FairMoney. FairMoney is building the leading mobile bank for emerging markets.
For most of the positions, it’s possible to join FairMoney remotely or in one of our offices: in Paris, Bangalore, Lagos, Riga.
FairMoney is unique thanks to its international exposure (with offices on 3 continents) and its impact-driven mission.
They bring financial inclusion to underbanked people in emerging markets!
They  give 10,000 loans daily (one every 8 seconds!) in Nigeria and India, and have banking operations in Nigeria, with over 1 million users
They backed by international investors and raised close to €50m to support our development. They have a team of close to 200 people between Paris, Lagos, Bangalore, Riga.
They are recruiting for the position below:
Operations Analyst
FairMoney Lagos, Nigeria
To Apply:
Interested and qualified candidates should:
Click here to apply online
Application Deadline: Not Specified.
Click here for the latest Jobs update
They value candidates who embrace our company values:
Growth Mindset
Grow yourself exponentially through hard work, curiosity and constant iterations
Start with the client
We are passionate, optimize for our users, care for our impact
Talent has NO passport
Talent is widely distributed across the world, we embrace adding different cultures, nationalities and genders to our team
Discover our other values during your discussions with the team.
Job description
As an Operations Analyst for the Lending business of FairMoney in Nigeria , you will be responsible in mainly, but not limited to :
- Developing SQL code/Python,R scripts to interrogate our data to solve key business problems
- Proactively bringing new ideas to the table relating to business questions, analytics approaches, datasets and ways of working.
- Assessing opportunities, understanding behaviour, testing hypotheses with data analysis
- Communicate analysis, relevant trends and operational performances to internal as well as external stakeholders and across the business
- Forecasting and scenario planning to create data driven performance from historic and current data
- Present insights to stakeholders & senior management, translating analysis into the ‘so what?’ and identifying possible actions to take as a result
- Presenting data in a clear and easy to comprehend manner, using visualisation tools (Tableau), data warehouse (Bigquery), ELT tool(dbt and git)
Preferred experience
- You should have 2-5 years of experience in delivering actionable insight to support decision making in marketing, commercial, product, operational and/or strategic decisions.
- You should have a high level of SQL Proficiency – You’re good at quickly getting a grasp of any dataset that you’re working with & support other analyst to do so, Python/R is a plus
- You should have a knack for understanding customer sentiments by looking at data.
- You should understand metrics like NPS, CSAT and drivers for these metrics.
- You should have understanding of unstructured text data and mine information to drive business decisions and priorities
- You should have the ability to deal with ambiguity & form ambiguous questions into defined solutions to improve the business area
- You must have excellent communication skills and the ability to explain results from your analysis in layman language to business users
- You should have a good understanding of the business – you quickly identify which metrics are relevant for an area and anticipate which data projects will add value
- You should have a good track record of delivering insight and actionable recommendations in an analytical role
- You should have the ability to effectively form relationships with the business in order to help with the adoption of data driven decision making
- You should have experience building models and dashboards to tight timelines and embedding these in operations to inform real-time business decisions,
- You should have experience capturing stakeholder requirements across various levels of seniority and functions and building appropriate analytical solutions,
- You should have strong data visualisation skills, including knowledge of self-serve tools like Tableau or similar.
- You’re a self-starter – you take initiative in spotting opportunities and finding ways to solve challenges with data
