Data Analyst (Remote) at GoMoney

Gomoney is a digital bank dedicated to simplifying banking for everyone and contributing to a future where everyone is in control of their money. With tools to split, schedule, send, receive and track payments, users have the tools for better transaction processes and better understanding of their spending habits.

We are recruiting to fill the position below:

Job Title: Data Analyst

Location: Lagos (Remote)
Department: Growth
Employment type: Full-time

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.

Application Closing Date
Not Specified.