Senior Data Analyst at PEG Africa

The Position

Are you excited working for a startup that is a social enterprise creating Impact on local communities?

We’re looking for a Senior Data Analyst to help drive informed business decisions through data.

What characteristics are we looking for in our Senior Data Analyst?

• You act as a sparring partner to our Business Leaders regarding the use of data in order to make informed business decisions.
• You build narratives around report processes and funnels using data that you collect and analyse.
• You understand, create, maintain and own relevant business KPIs.
• You find and filter relevant information from our data warehouse (In this case our database).
• You help focusing from complex inputs to simple outputs.
• You have a good business understanding and can visualize the relevant analysis requirements
• You raise questions and prepare your answers using statistical methods
• You are an advocate of using data to make better decisions
• You are a self-starter but you also like to work closely with engineers, UI / UX, designers and product people

What do we expect?

• University degree in International Business, Information Systems, Business Informatics, Statistics, Data Science, Computer Science, Economics, Engineering or similar
• 5+ years experience doing quantitative analysis preferably for a Fintech company
• Strong analytical skills and mindset regarding funnels, cohorts, marketing and business KPIs
• Advanced know-how in creating SQL queries
• Practical handling of at least one programming language, preferably Python
• Excellent proficiency in Excel
• Experience with BI tools such as PowerBI or Tableau
• Structured and solution-oriented working style to drive projects efficiently
• You feel comfortable in a fast, dynamic and constantly changing environment – you improve processes and you make things happen at the same time.

Responsibilities Include

• Managing daily, weekly, and monthly reporting,
• Performing routine and ad-hoc analysis of business information, aimed to help in decision making, sport market opportunities, and identify trends and patterns, and
• Participating in development/developing new data-related products/services;
• Helping employees to learn new analytics skills;