W2 Senior Marketing Analytics- Orlando, Florida(Hybrid)

About the Role

Key Responsibilities

• Analyze and interpret data from digital and traditional marketing campaigns to evaluate performance and uncover growth opportunities.
• Develop and maintain dashboards and reports to monitor campaign KPIs, customer segments, and channel effectiveness.
• Collaborate with marketing, product, and analytics stakeholders to define campaign measurement plans and ensure consistent tracking.
• Support A/B testing design, implementation, and analysis to optimize creative, targeting, and offer strategies.
• Build customer segmentation and predictive models to inform audience strategy and personalization.
• Present findings and strategic recommendations to senior leadership and cross-functional teams.
• Support marketing forecasting, budget allocation, and ROI analysis.
• Mentor junior analysts and contribute to best practices in marketing analytics and data governance.

Requirements

• Ability and strong desire to think analytically, to be able to identify and solve problems through data analysis.
• Strong understanding of marketing channels (email, paid media, direct mail, web) and related KPIs, report formatting, and accuracy.
• Proficiency in SQL for data querying and manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Advanced Excel skills, including formulas and pivot tables.
• Advanced MS PowerPoint skills.
• Familiarity with Google Analytics, CRM platforms (e.g., Salesforce Marketing Cloud), or CDPs (e.g., Simon Data, Hubspot).
• Experience in statistical software suites (R, Python, Databricks) is a nice to have.
• Five (5) years of experience in marketing analytics, preferably in subscription-based, travel, or consumer services industries.
• Three (3) years of digital reporting experience using visualization tools such as Looker Studio, Tableau, Power BI, or Domo.
• Three (3) years of experience with A/B Testing & Personalization Testing tools (e.g., Adobe Target, Google Optimize, Maxymiser).
• Three (3) years of eCommerce analytics experience.
• Three (3) years of working with Clickstream data in Google BigQuery or other data warehouse solutions like AWS or Snowflake.
• Bachelor's or Master's degree in Marketing, Statistics, Business, Economics, Data Science, or related field; experience may be accepted in lieu of formal education.

Nice to Have

• Experience with statistical software suites such as R, Python, or Databricks.