We are seeking a highly motivated and detail-oriented Marketing Data Analyst to join our team. The ideal candidate will be responsible for the end-to-end exploratory data analysis supporting Smart Audience-driven marketing campaigns, in addition to analyzing the results, and making data-driven recommendations to improve campaign performance. The candidate should have a strong background in statistics, data analysis, decision science and marketing analytics, as well as excellent communication skills and the ability to work independently.

Responsibilities:

• Conduct end-to-end exploratory data analysis from a wide range of data sources, and define data parameters according to ETL logic.
• Leveraging data exploration and discovery analysis, quantify segments connected to Smart Audience recommendations and A/B tests, and determine sizing thresholds that support statistically significant results.
• Analyze the results of Smart Audience A/B tests using statistical methods to determine statistical significance and identify trends and patterns in the data; this post campaign analysis includes data mining and periodic reporting of results, including succinct presentation of key insights.
• Develop insights and recommendations based on the results of Smart Audience A/B tests to improve campaign performance and achieve marketing objectives, including recommendations on audience selection criteria.
• Collaborate with cross-functional teams, including marketing, product, and data science, to develop and implement data-driven marketing strategies.
• Use data analysis tools, such as Excel, Power BI and Adobe Analytics, in addition to SQL based programming to manipulate and analyze data.
• Stay up to date with the latest trends and best practices in marketing analytics and data analysis.

• Bachelor's degree in statistics, data science, marketing, or a related field.
• 5+ years of experience in marketing analytics, data analysis, or a related field.
• Strong understanding of statistical concepts, such as confidence intervals, p-values, and statistical significance.
• Proficient with data analysis tools, such as Excel, Power BI and Adobe Analytics, as well as with SQL based programming.
• Demonstrate high-level proficiency in:
  • Data management
  • Data mining
  • Descriptive analysis utilizing an analytics platform (e.g., Power BI, Adobe Analytics)
  • Predictive modeling expertise is an added bonus.
• Excellent communication skills, with the ability to present complex data and insights in a clear and concise manner.
• Strong attention to detail and ability to work independently, while having the willingness to engage with partners across the organization.
• Creative thinking skills and ability to develop new ideas to improve campaign performance.
• Strong strategic thinking skills, including capabilities to assess current situation, draw conclusions and envision future optimization opportunities.
• Ability to manage multiple projects and prioritize tasks effectively.
• A team player with strong interpersonal and team-building skills.