Data Analyst Job at TradeDepot

TradeDepot enables manufacturers and key distributors keep their brands in stock on the shelves of millions of retail stores across Africa and other emerging markets.

We are recruiting to fill the position below:

Job Position: Data Analyst

Job Location: Lagos

Job Description
What we're looking for

• The Data Analyst role is one which is solely dependent on strategic execution of business objectives leveraging business intelligence. The successful candidate will possess a passion for innovative analysis, processes that scale, and the wherewithal to develop findings and recommendations that transcend the numbers.
• If you are an enthusiastic young leader with the ability to balance big-picture thinking with deep-dive research and attention to detail, we have the perfect job for you!

Responsibilities

• Build, monitor and evaluate web and mobile analytics dashboards and reports, also recommend improvements in execution for driving growth and better engagement.
• Analyse all relevant internal & external data in a bid to drive growth in terms of user acquisition and retention; flagging issues and suggesting opportunities for operational improvement.
• Perform robust cohort analysis using varying layers of segmentation.
• Create regular reports to keep track of growth experiments and channel performance.
• Try various channels for organic growth, bringing in innovative ideas and discovering new opportunities for increasing acquisition as well as retention.
• Support the ongoing analysis of business performance required to inform marketing and product development decisions on a day-to-day basis.
• Design and launch experiments, determine targeting strategies, and develop category specific KPIs, forecasts, and goals.

Qualifications

• 1-2 years of proven work experience in a growth, research or operations focused data analyst role.
• Have a Bachelor's Degree in Computer Science, Mathematics, Engineering, Economics or a related field with significant quantitative content.
• Have a business/data analysis professional certification.
• Excellent analytical skills and problem-solving ability; the ability to answer unstructured business questions and work independently to drive projects to conclusion.
• Strong knowledge of statistics, this includes experimental design for optimization, statistical significance, confidence intervals and predictive analytics techniques.
• Data Fluency: Expert quantitative analysis and logical reasoning; experience using databases languages (e.g. SQL or BigQuery), tracking/analytics tools (e.g. MixPanel, Google Analytics etc) and business intelligence/visualisation tools (e.g. Domo, Power BI, Looker etc) on large data sets to extract trends and insights. Hands-on experience conducting customer segmentation, cohort performance, and product funnel analyses preferred.

Benefits

• Ground floor opportunity with the team; shape the strategic direction of the company.
• The rare opportunity to change the world such that everyone around you is using the product you built. We’re not just another social web app, we’re moving products and assets for real people and reinventing B2B distribution and logistics globally.
• Sharp, motivated co-workers in a fun office environment.