Coca-Cola is the most popular and biggest-selling soft drink in history. An icon of all times, Coca-Cola is the best-known product in the world. Created in Atlanta, Georgia, by Dr. John S. Pemberton, Coca-Cola was first offered as a fountain beverage by mixing Coca-Cola syrup with carbonated water. Coca-Cola was introduced in 1886, patented in 1887, registered as a trademark in 1893 and by 1895 it was being sold in every state and territory in the United States. In 1899, The Coca-Cola Company began franchised bottling operations in and outside the United States taking Coca-Cola to consumers in other parts of North America and Europe and in subsequent years to other parts of the world. In 1951, the refreshing wave of Coca-Cola arrived in Nigeria and has remained a hit with consumers across the country. Packages Coca-Cola is available in: 35cl and 50cl classic glass contour bottle; 33cl on-the-go Can, 50cl and 1.5L PET bottle. Ingredients Carbonated water, sugar, Carbon-dioxide, caffeine, Phosphoric acid, caramel color and flavouring.
Job Summary
- We are looking for a BI Analyst to join our Direct-to-consumer (D2C) team and help us deliver data-driven insights and recommendations to optimize our online sales and marketing strategies.
- You will be responsible for collecting, analyzing, and reporting on our different D2C initiatives, such as consumer behavior, product performance, sales trends, and conversion rates.
- You will also collaborate closely with our DTPS, DIA and dCom teams to identify opportunities and challenges, and provide actionable solutions based on data.
Job Responsibilities
- Analyze, clean, and transform data from various sources, such as web analytics, CRM, SAP, and third-party platforms
- Collaborate with DTPS to ensure that all relevant data sources are integrated in data mesh
- Prepare recurrent reporting for senior stakeholders and business owners
- Build and maintain dashboards, reports, and visualizations that track and communicate key D2C metrics and KBIs (unit economics, CLTV, RR, NPS etc.)
- Perform exploratory analyses to uncover insights and trends that support data-driven decision making
- Unveil consumer trends, purchasing behaviors and patterns, demographic specifics etc. that drive tailored and targeted marketing activities
- Work closely with the D2C product owners and marketers to understand their business goals and provide data-driven recommendations and solutions
- Communicate and present findings and recommendations to various audiences, both technical and non-technical
Deliverables Y1
Coke & Go Power BI Dashboard: Build, enhance and maintain a dashboard for Coke & Go, collecting data from multiple different data sources. Agree with the vendor and other stakeholders on data sharing structure, frequency and method. 1st stage dashboard KBIs (phase 1, non PII data):
- Performance dashboard (admin portal, SAP, televend) for: Actuals vs BP vs RE, GSR, NSR, Incremental revenues: totals, % share of total, Transactions/Orders, Units,UC,Consumers: Downloads, registered users, MAU, registered w/o credit card,New consumers, Reactivated consumers, returning consumers, lost consumers,NPS,CLTV,Machines connected,Offline transactions per machine, C&G share vs offline
- Filters: Country, City, Currency, Machine number, Machine type: TVM, Smart Cooler, Year, Quarter, Month, Week
Alfies:
- Own, enhance and maintain current consumer panel dashboard and provide data-driven recommendations and solutions to the team
- Explore the root cause of data discrepancies and suggest solutions to fix it
- Own, enhance and maintain current performance reporting dashboard
Egypt Home Delivery: Creation of holistic dashboard capturing:
- Performance (website, call center) from SAP, Salesbuzz
- Consumer insights from SAP, KO
- Digital Marketing data from Adobe MC
- Website analytics from Google Analytics
Job Requirements
- Bachelor's degree in Business Analytics, Economics, Computer Science, Statistics, or related field
- At least 3 years of experience in BI, data analysis, or a similar role
- Proficient in SQL and Excel
- Experience with BI tools, such as Tableau, Power BI, or Looker
- Experience with web analytics tools, preferably Google Analytics, Adobe Analytics
- Fluent in English
- Knowledge of D2C business models and e-commerce best practices
- Strong analytical and problem-solving skills
- Excellent communication and presentation skills
- Ability to work independently and collaboratively in a fast-paced environment
Method of Application
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