We are searching for a highly motivated and analytically minded individual to join our digital marketing company as a Marketing Data Analyst. As an entry-level member of the team, you will play a critical role in supporting our marketing initiatives by gathering, analyzing, and interpreting data from diverse sources to enhance campaign success and drive data-driven decision-making.
Responsibilities:
● Gather, sanitize, and organize marketing data from a variety of sources such as website analytics, social media platforms, email campaigns, and advertising channels.
● Assist with the development and upkeep of marketing databases to ensure data correctness and completeness.
Conduct data analysis to find trends, patterns in customer behavior, and critical performance measures for marketing efforts.
● Work with senior data analysts and marketing teams to develop reports, presentations, and data visualizations that effectively communicate insights and discoveries.
● To increase campaign performance and conversion rates, assist in the execution of A/B testing and provide analysis of test outcomes.
● To discover opportunities and industry trends, conduct market research and competition analysis.
● Assist with the development and execution of data tracking and tagging strategies in order to accurately capture important marketing data.
● To continuously improve data analysis processes, stay up to date on the newest data analysis methodologies, tools, and best practices.
Requirements:
● A bachelor's degree in Data Science, Marketing, Statistics, Business, or a closely related discipline is required.
● Data analysis tools such as Excel, Google Sheets, or other spreadsheet software are required.
● A basic familiarity of data visualization tools (such as Tableau and Power BI) is advantageous.
● Strong analytical and problem-solving abilities, as well as a desire to work with data.
● It is beneficial to be familiar with digital marketing principles and platforms (for example, Google Analytics and Facebook Ads).
● Knowledge of programming languages such as Python or R is advantageous but not required.
● Excellent attention to detail and the capacity to work efficiently with enormous datasets.
● Strong communication skills and the ability to collaborate in a team atmosphere are required.
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