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Data Analyst at Seven Up Bottling Company

Seven Up Bottling CompanyLagos, Nigeria Data and Artificial Intelligence
Full Time

Created by the Howdy Corporation in St. Louis, MO, 7UP was an optimistic venture from the very start. After great success with the Howdy Orange drink, company founder C.L. Grigg decided to try his luck with lemons and limes. C.L. Grigg spent more than two years testing over 11 different formulas, all in search of a drink that was refreshing enough to prove irresistible to the people of Missouri and the world at large. In 1929, C.L. Grigg’s bubbliest drink was born. The public quickly developed a taste for Grigg’s caramel colored lemon-lime soda. Bib-Label Lithiated Lemon-Lime Soda sold, and sold well. As the drink grew more and more popular, the original name was traded in for something short and sweet. Bib-Label Lithiated Lemon-Lime Soda became known as 7UP. Early advertising featured a winged 7UP logo with copy that read "a glorified drink in bottles only. Seven natural flavors blended into a savory, flavory drink with a real wallop." The drink was so successful by 1936 that Grigg changed the name of The Howdy Corporation to The Seven-Up Company. By the late 1940s, 7UP had become the third best-selling soft drink in the world. In the decades to follow, 7UP developed iconic branding, setting it apart from industry front-runners. In 1967, 7UP brought the phrase UNCOLA into the national vernacular. The UNCOLA campaign set 7UP apart from its competition and became part of a counter cultural that symbolized being true to yourself and challenging the status quo. Always at the frontier of taste and pop culture, 7UP was also among the first sodas to introduce sugar-free and caffeine free options. Through the years, advertising for 7UP featured everything from a cartoon mascot named Spot, to the "It’s an Up thing" and "Make 7UP yours" taglines.

Responsibilities:

  • Collect, clean, and transform data from multiple sources to support business needs
  • Analyze large datasets and interpret trends and patterns to generate business insights
  • Develop data-driven recommendations and provide actionable insights to drive business growth
  • Create and maintain data visualizations, dashboards, and reports to communicate findings to stakeholders
  • Collaborate with cross-functional teams to identify data-related opportunities and provide support for data-driven decision-making.

Qualifications

  • 4years+ experience as an HR Data Analyst. 
  • Proficient in data analysis tools such as Excel, SQL, and/or Python
  • Strong analytical, problem-solving, and communication skills
  • Experience with data visualization and dashboarding tools such as Tableau or Power BI
  • Strong proficiency in statistical analysis and modelling technique.Q

Method of Application

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