Senior Data Analyst, Accra - PEG Africa

PEG delivers Pay-As-You-Go (PAYG) asset-based financing to consumers who lack both access to reliable electricity and formal banking services. PEG’s anchor product - a basic solar home system that includes six lights, a phone charger, a radio, and a TV - allows consumers living on $5-10 per day to access clean light for working and studying after hours, avoid harmful air pollution from kerosene based lighting solutions, and also build credit for additional products and services over time.

To date, PEG has raised over $45 million and has over 450 full time staff across Ghana, Ivory Coast and Senegal. PEG has also won numerous awards, including the prestigious 2017 Ashden International Award for excellence in sustainable energy, and was named as one of the “fastest growing companies in Africa” by the London Stock Exchange.

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;