Sr. Marketing Analyst, Fandango - VERSANT

About the Role

Key Responsibilities

• Evaluate campaign and promotional performance to determine which tactics drove meaningful impact, which underperformed, and what truly moved the needle.
• Provide strategic, data-backed recommendations on future promos, messaging, and channel strategies to maximize ROI.
• Deliver persuasive presentations that distill promotional learnings into clear direction for stakeholders at all levels.
• Mentor junior analysts by reviewing methodology, ensuring best practices, and fostering a culture of curiosity and continuous improvement.
• Collect and analyze marketing data from multiple sources (Adobe Analytics, social media, CRM, email marketing platforms, etc.).
• Build/maintain revenue-focused reports and dashboards to monitor the performance of Paid, CRM, OTT (e.g., Roku, Vizio, Samsung), and trade marketing campaigns.
• Develop reports and dashboards to track key performance indicators (KPIs) and campaign effectiveness.
• Measure A/B testing, customer segmentation, and predictive modeling to enhance targeting and personalization.
• Use analytics tools and data visualization techniques to present findings in a clear and actionable way.
• Monitor and assess competitor activities and market trends to identify new opportunities.
• Ensure data accuracy, consistency, and integrity by maintaining proper data governance practices.

Requirements

• 3+ years of experience in marketing with a focus on performance analysis and reporting.
• Bachelor's degree in Business, Marketing, Data Science, Statistics, Economics, or other relevant field, or equivalent work experience.
• Strong proficiency with SQL.
• Advanced spreadsheet skills.
• Excellent presentation and communication skills; able to pull insights from complex analyses into clear insights and actionable recommendations.
• Ability to initiate and drive projects to completion with minimal guidance.
• Basic understanding of statistical analysis and/or machine learning (e.g., classification & clustering techniques, regression modeling).
• Experience analyzing user behavior across digital, consumer-facing products (e.g., entertainment, e-commerce, etc.).
• Technical skill and experience with Python, R, Tableau, Looker, Amazon Redshift, and/or Adobe Analytics.

Nice to Have

• Media mix modeling or multi-touch attribution modeling experience.

Qualifications

• Bachelor's degree in relevant fields or equivalent work experience.

Benefits & Perks

• Company sponsored benefits including medical, dental, and vision insurance.
• 401(k) plan.
• Paid leave.
• Tuition reimbursement.
• Hybrid work arrangement (generally contributing from the office a minimum of three days per week).