Key Responsibilities:Campaign Optimization:Analyze owned and paid media data to support the team in formulating campaign optimization strategies.Utilize customer data from email, SMS, and customer databases to help draw conclusions and make actionable recommendations to improve customer lifetime value and company sales.Leverage existing media mix modeling and partnerships to understand the relationship between our marketing inputs and outputs, and clearly articulate opportunities and risks.Evaluate data to drive insights into conversion rates, customer acquisition, and other key performance goals.Participate in the advancement of targeting techniques and strategies to strengthen customer relationships.Actively contribute to marketing discussions to support hypothesis testing including test design, implementation, and analysis.Forecasting:Develop forecasting models to gauge growth trajectory, predict future marketing outcomes, and avoid oversaturating channels (segmentation, classification, propensity, LTV models).Demonstrate expertise in modeling with the ability to help establish performance goals through historical analysis and communicated assumptions.Budget/Spend AllocationLeverage forecasting ability to assist the marketing team in allocating marketing budget/spends wisely based on analytical insights.Identify growth opportunities and recommend strategic budget/spends adjustments for optimal results to drive improved return on investment and efficient customer acquisition costs.Reporting and Visualization:Develop and maintain interactive reporting dashboards using existing reporting tools and Excel to communicate performance updates on key metrics and channels (i.e. paid, organic, and owned).Collaborate with the team to understand reporting requirements and ensure the delivery of actionable insights.Track and report customer segment performance.Day to Day:Collaborate with the team exploring, discussing, and ideating on results to identify forward-looking risks and opportunities.Provide competitive information with insight as needed.Offer ad-hoc analysis to help cross-functional teams better understand product trends by customer segment and the role of each product category in the customer journey supporting the identification of growth opportunities such as cross-selling, up-selling, and product gaps. Qualifications:Proficiency in SQL & working with databasesProficiency in CRM tools, such as SalesforceProficiency with Data visualization tools (ex: Tableau)Proficiency in Web analytics & working with Google Analytics Job Type: Contract Pay: $50.00 - $70.00 per hour Schedule: 8 hour shift Experience: Marketing: 6 years (Required) Campaign: 6 years (Required) SQL: 6 years (Required) Google Analytics: 6 years (Required) Tableau: 6 years (Required) Work Location: In person