Senior Marketing Analyst - Advanced Analytics

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Requirements:

• Extensive relevant experience within a fast-paced business environment, with specialized experience in marketing data and customer segments.
• Ability to apply advanced statistical analysis, regression models, and predictive analytics to marketing data.
• Strong ability to use visualization tools to translate complex data into clear, actionable insights.
• Experience analyzing and understanding how customers engage with marketing campaigns, using this insight to optimize marketing efforts.
• Ability to create and analyze customer segments to develop personalized marketing strategies that drive engagement and conversion.
• Deep knowledge of how to track, evaluate, and optimize the effectiveness of marketing campaigns based on performance data.
• Expertise in attribution modeling, including multi-touch attribution, and the ability to apply insights to improve the effectiveness of marketing channels.
• Expertise in writing complex SQL queries to extract and manipulate marketing data from relational databases.

Responsibilities:

• Lead Marketing Analytics Initiatives: Manage key cross-functional analytics projects related to campaign performance, customer engagement, and marketing ROI.
• Campaign Performance and KPI Analysis: Analyze key marketing KPIs, such as conversion rates, customer lifetime value, cost per acquisition, and return on marketing investment (ROMI).
• Collaborate on Marketing Attribution: Work with the marketing team to develop and refine multi-touch attribution models, ensuring the team accurately measures the impact of different marketing channels (e.g., email, social media, paid search) on customer journeys and sales.
• Customer Segmentation and Personalization: Analyze customer data to create detailed segments based on demographics, behavior, and purchase history.
• A/B Testing and Experimentation: Lead A/B tests and experiments to evaluate the effectiveness of new marketing tactics, product features, or customer engagement strategies.
• Forecasting and Trend Analysis: Utilize statistical models and machine learning algorithms to forecast trends in customer behavior and campaign performance, allowing for proactive adjustments to marketing strategies that maximize ROI.
• Mentor Data Analysts within the team through hands-on coaching and training to elevate their skills and impact.