Staff Data Analyst - Marketing

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Requirements:

• Extensive relevant experience within a fast-paced business environment, with specialized experience in marketing data and customer segments.
• Advanced Analytics & Statistical Methods: Ability to apply advanced statistical analysis, regression models, and predictive analytics to marketing data.
• Data Visualization & Reporting: Strong ability to use visualization tools to translate complex data into clear, actionable insights.
• Customer Behaviour Analysis: Experience analyzing and understanding how customers engage with marketing campaigns, using this insight to optimize marketing efforts.
• Segmentation & Personalization: Ability to create and analyze customer segments to develop personalized marketing strategies that drive engagement and conversion.
• Campaign Analysis & Optimization: Deep knowledge of how to track, evaluate, and optimize the effectiveness of marketing campaigns based on performance data.
• Marketing Attribution: Expertise in attribution modeling, including multi-touch attribution, and the ability to apply insights to improve the effectiveness of marketing channels.
• SQL: 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. Use advanced statistical methods and data visualization tools (e.g., Tableau, Power BI) to deliver actionable insights and help optimize marketing strategies.
• 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). Use predictive analytics and data modeling techniques to recommend improvements in targeting, messaging, and campaign budget allocation.
• 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. Provide insights to help refine marketing strategies based on attribution results.
• Customer Segmentation and Personalization: Analyze customer data to create detailed segments based on demographics, behavior, and purchase history. Work with marketing teams to implement personalized marketing strategies that improve engagement and conversion through targeted approaches.
• 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. Provide actionable recommendations based on statistical analysis to refine and optimize marketing campaigns.
• 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.