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Data Scientist

2 weeks ago

Kuwait City, Al Asimah beBee Careers Full time
Data Science Campaign Analyst

We are seeking a detail-oriented and analytical Data Science Campaign Analyst to join our marketing team. As a key member of our team, you will be responsible for analyzing data from our marketing campaigns, providing actionable insights that drive strategic decision-making.

Key Responsibilities:
  1. Data Analysis and Insights: Collect, analyze, and interpret marketing data to evaluate campaign performance and effectiveness.
  2. Reporting and Dashboards: Create and maintain comprehensive reports and dashboards that track key performance indicators (KPIs) and campaign metrics.
  3. Campaign Optimization: Collaborate with campaign managers to identify areas for optimization and enhancement of marketing initiatives.
  4. Forecasting and Strategy: Utilize statistical analysis and modeling techniques to forecast campaign results and recommend actionable strategies.
  5. Industry Trends and Best Practices: Monitor industry trends and best practices in data analysis and marketing analytics to improve internal processes.
  6. Insights and Recommendations: Provide insights and recommendations to stakeholders regarding campaign performance and potential improvements.
  7. Testing Strategies: Assist in developing testing strategies, including A/B testing, to evaluate the effectiveness of marketing campaigns.
Requirements:
  1. Education: Bachelor's degree in Data Science, Marketing Analytics, Statistics, or a related field.
  2. Experience: 2-4 years of experience in data analysis or marketing analytics, preferably in a campaign-focused role.
  3. Data Analysis Tools: Proficient in data analysis tools such as Excel, SQL, and analytics platforms (e.g., Google Analytics, Tableau).
  4. Marketing Metrics: Strong understanding of key marketing metrics and performance indicators.
  5. Analytical and Quantitative Skills: Excellent analytical and quantitative skills with attention to detail.
  6. Communication: Ability to communicate complex data insights in an easy-to-understand manner.
  7. Problem-Solving: Strong problem-solving skills and a proactive approach to identifying opportunities for improvement.
  8. A/B Testing: Experience with A/B testing and other testing methodologies is a plus.
Additional Details:
  • Seniority Level: Entry level
  • Employment Type: Full-time
  • Job Function: Information Technology
  • Industries: IT Services and IT Consulting