Tapsi is seeking a highly skilled and experienced marketing data team lead to join our dynamic team. As a marketing data team lead, you will be responsible for leading a team of marketing data analysts, analyzing complex marketing data sets, and providing valuable insights to drive strategic marketing decision-making within the organization.
About the role:
If you are a data-driven professional with a passion for uncovering insights and driving marketing growth, we encourage you to apply for the Marketing Data Team Lead position at Tapsi. Join us in revolutionizing the way we use data to make informed marketing decisions and shape the future of our organization.
Responsibilities:
Lead and Develop the Data Team:
Manage, mentor, and develop a team of data analysts and scientists' performance goals and foster a culture of continuous learning and collaboration
Analyze Marketing Data:
Analyze large marketing datasets to extract meaningful insights and identify trends.
Conduct in-depth analysis to support marketing initiatives and optimize performance.
Create Incentive Plans:
Design data-driven incentive plans to increase customer engagement and retention.
Develop, execute, and optimize acquisition campaigns across various channels, using data insights to target the right audience segments.
Monitor campaign performance and adjust strategies to maximize ROI
Develop Data-Driven Strategies:
Collaborate with cross-functional teams to identify key marketing metrics and KPIs.
Develop and implement data-driven strategies to enhance marketing effectiveness and business performance.
Create visualizations and reports.
Design and maintain dashboards, visualizations, and reports to communicate findings to stakeholders.
Present complex data insights in a clear and actionable manner to senior leadership.
Requirements:
Bachelor's or Masters degree in Data Science, Statistics, Computer Science, Marketing, or a related field.
5+ years of proven experience in data analysis, with at least 2 years in a leadership role, preferably in a marketing or tech environment.
Proficiency in data analysis tools such as Excel, SQL, and Python, and familiarity with big data technologies.
Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
Excellent communication and presentation abilities, with experience creating data visualizations using tools like Power BI or Tableau.
Previous experience with marketing automation platforms (e.g.WebEngage) is a plus.
