Growth Analyst at TradeDepot

Overview

The Growth Analyst role is one which is solely dependent on strategic execution of business objectives leveraging business intelligence. You will need to synthesise trends and insights through the vast amount of data captured at TradeDepot and develop actionable strategies that will help grow our businesses and consumers’ engagement with our products. 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

• 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.
• Minimum 2 years of proven work experience in a growth, research or operations focused data analyst role.
• 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.

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