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NetFlorist is South Africas leading floral and gifting site. After 20 years of innovation, we still continue to reinvent the corporate and personalised gifting industry, enabling clientele to send flowers, gifts, jewellery and perfume to family, friends and associates both locally and around the world. Our commitment to excellence has established us as th...
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About the Job
Netflorist is South Africa's largest online flower & gifting delivery service. We are currently seeking a dynamic and innovative Senior Data Analyst to join our Analytics department and work across business units within the company. The role encompasses projects such as customer deep dives, business reporting, forecasting, analysis, A/B testing and data management. The role will mainly provide analytics and insights to our Marketing, Merchandising, Operations and UX departments. The ideal candidate should have 4-6 years working experience in data analytics and 3 years managerial experience. We welcome candidates with educational backgrounds in either of the following disciplines: Mathematics, Data Science, Statistics and/or Economics.
Responsibilities
Collect, transform and mine data from primary or secondary data sources.
· Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and data quality.
Identify, analyse, and interpret trends or patterns in complex data sets using statistical techniques.
Create predictive models to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
· Design measurable metrics & KPIs to identify areas of opportunity and leading indicators for areas of concern.
· Develop analytical reports and dashboards that inform strategies and tactics for key stakeholders to drive overall growth across business units.
· Data storytelling & visualization to provide meaningful insights into customer behaviour.
· Manage junior to mid-level data analysts.
Skills and Qualifications
· Bachelor’s degree in Mathematics, Data Science, Economics, or Statistics
· 4 – 6 years’ experience mining data as a data analyst
· 3+ years managing junior to mid-level analysts
· Strong SQL and Excel skills with the ability to learn other analytic tools
· Proven analytic skills, including data mining, evaluation, analysis, and visualization
· Technical and business writing experience in relevant areas, including queries, reports, and presentations
· Experience with Google Analytics, Google Data Studio and Power BI is a plus
Applicants can send their CV and/or cover letter to Shannon Starkey ([email protected]).
Please include academic transcripts in your application.
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