Data Analyst at Dial Afrika

Job Responsibilities

• Define product goals (KPIs), build data models and craft product dashboards.
• Design A/B experiments, analyze the results, and provide decision recommendations.
• Collaborate with stakeholders (Analysts, PMs, Engs) from other teams and advise them on how to leverage Platform’s data.
• Write clear and concise reports of your analyses and educate relevant stakeholders about your findings
• Estimate ROI of product initiatives, contribute to product roadmaps and help define requirements for engineers.
• Explore data from multiple sources and help understand how products are used and guide the product development process.

Skill & Experience

• 5+ years of experience working in Data Analytics in product companies, including at least 2+ years in a managerial function with a track record of building star teams and deliverables
• Strong knowledge of other data related areas, including data science, data engineering and software engineering
• A university degree in a technical subject (Computer science, Mathematics Information Management or Statistics
• Superb communication and leadership skills, ability to decompose complex solutions and insights into a simple narrative for the rest of the company
• Business acumen and entrepreneurial mindset
• Fluent verbal and written English is a must
• Basic knowledge of Python, SQL
• Exceptional Excel, business modeling and data visualization skills are a must
• Ability to understand complex ecosystems and translate them into high-end financial and operational models
• Excellent market research skills and a good understanding of macroeconomic variables and trends
• Experience with BI, data visualization and budgeting tools
• Experience in Financial planning and Project Management with Customer Support organizations.
• Experience in Google Sheets, PowerBI, Looker, Tableau and Google Colab

Advantages / Must Have

• Bachelor’s in a Quantitative Field
• At least 4 years experience dealing with large volumes of data
• Advanced SQL skills
• Experience with Python or R
• Experience with  BI tools
• Experience ML frameworks is a plus
• Great written communication
• Experience in one or more of the following domains: Geo (Routing, Positioning, Maps, Places), Identity (KYC, Identity fraud), Communications (Chat, NLP, VoiP).
• Experience in building products in a startup or tech / product company.
• Practical experience with Machine Learning frameworks.