Sr Analyst (Marketing Analytics)

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

• Bachelor's or Master's degree in Marketing, Statistics, Business, Economics, Data Science, or related field, or equivalent experience.
• Ability and strong desire to think analytically and solve problems through data analysis.
• Strong understanding of marketing channels (email, paid media, direct mail, web) and related KPIs, report formatting, and accuracy.
• Five (5) years of experience in marketing analytics, preferably in a subscription-based, travel, or consumer services industry.
• 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 such as Adobe Target, Google Optimize, Maxymiser, or others.
• Three (3) years of eCommerce analytics experience.
• Three (3) years of experience working with Clickstream data in Google BigQuery or other data warehouse solutions like AWS or Snowflake.
• Proficiency in SQL for data querying and manipulation.
• Ability to analyze large raw data sets, draw conclusions, and develop actionable recommendations.
• 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).

Nice to Have

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