Gomoney is a digital bank in Lagos, Nigeria. We offer stress-free banking on your phone from anywhere in Nigeria at no hidden cost with the bank you deserve.
About this Role
- Our Data team's mission is to enable us to make better decisions, faster. This mission encompasses two major areas of work:
- Product analytics, to help teams understand our customers and improve our app
- Domain analytics, to support teams who are working in specific banking disciplines (e.g., lending, operations, finance, and financial crime), and
- While we take a flexible approach and frequently help each other across these areas, we each have one domain as our primary focus.
- We work in cross-functional squads, so every data analyst is a member of the central data team as well as fully embedded into another team alongside engineers, designers, product managers etc.
Job Description
- We're looking for a Data Analyst excited to help build the best digital banking products. You'll have the opportunity to super charge our user growth to help shape the future of what we build.
- You will enjoy working alongside brilliant engineers and product managers, with the opportunity to see your insights turned into real products on a regular basis.
Responsibilities
As part of the role, your responsibilities are as follows:
- Use automated tools to extract data from primary and secondary sources
- Develop and maintain databases, data systems and reorganize data in a readable format
- Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
- Analyze local, national, and global trends that impact both the organization and the industry
- Prepare reports for the management stating trends, patterns, and predictions using relevant data
- Work with the data scientist, engineers, and management to identify process improvement opportunities, propose system modifications, and devise data governance strategies.
- Prepare final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
You should apply if:
- You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
- You're commercially minded and can put numbers into business perspective
- You are focused on results and have demonstrated success in using analytics to drive the understanding, growth, and success of a product.
- You’re as comfortable getting hands-on as taking a step back and thinking strategically
- You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
- You're a team player whom your colleagues can rely on
Qualifications & Characteristics
As an ideal candidate for this role, you would have:
- 1 - 2 years of professional experience in data analysis **preferably in a fast moving tech or finance company
- A solid understanding of statistics (e.g. hypothesis testing, regressions) and statistical software like Excel, SPSS, SAS.
- A solid grounding in the use of data visualization software like Tableau, Qlik etc.
- Knowledge of programming languages like SQL, Oracle, R, and Python
- Accuracy and attention to detail
- Adept at queries, writing reports, and making presentations
- The ability to communicate the results of analyses with the rest of your team to influence the future strategy of the product and business.
Method of Application
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