Data Analyst - Branding and Marketing

The Aura Brand team is seeking a highly motivated Lead Brand Marketing Analyst to build and maintain the data pipelines needed to understand and measure the effectiveness of our Brand-level Marketing campaigns.  Reporting directly to the Chief Brand and Communications Officer, the ideal candidate will play a key role in analyzing and interpreting data, providing valuable insights, and supporting strategic decision-making within the organization.  You will need to possess strong analytical skills, a keen attention to detail, and the ability to communicate complex findings in a clear and actionable manner.  We are looking for someone with specific expertise in marketing attribution methodologies (media mix modeling) and predictive modeling. Your vision and strategic thinking will play a critical role in optimizing & driving the success of our Brand.  

Day to Day:

• Be the expert in the effectiveness of our Brand-level Marketing campaigns (both online & offline channels) 
• Develop and refine methodologies for assessing brand impact (direct and indirect) and return on investment, providing a clear picture of campaign effectiveness.
• Monitor and evaluate the performance of weekly performance, using key metrics and KPIs to assess effectiveness and identify areas for improvement and optimizations.
• Build and implement advanced attribution models to measure past or current campaign effectiveness. Similarly, build and implement predictive models to forecast future campaign effectiveness. Both will be used to inform strategic decision-making.
• Conduct in-depth analyses of data to identify trends, opportunities, and areas for optimization.
• Present findings and recommendations to senior leadership and stakeholders in a clear and compelling manner.
• Stay updated on industry trends, emerging technologies, and best practices in data analytics and attribution modeling.
• Collaborate with Performance marketing to gain an understanding of the full Marketing funnel. 
• Collaborate with Finance to define key performance indicators (KPIs) and establish metrics-driven strategies to drive Brand growth. Conduct scenario analysis to assess potential impacts from Brand campaigns, on business operations. 

What You Bring To The Table:

• 7+ years experience and Proven track record of building models to support brand building efforts, experience in data analysis, with a focus on marketing attribution and performance modeling, LinearTV a must. 
• Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, or related field; advanced degree preferred.
• Strong proficiency in data analysis/reporting tools and software (e.g., Excel, GoogleSheets, Tableau, Power BI).
• Proficiency in SQL and one or more languages used for data analysis (e.g. Python, R, SAS).
• Strong understanding of digital marketing platforms (e.g., Google Analytics, Adobe Analytics, Facebook Ads Manager) and advertising attribution methodologies.
• Excellent communication skills.  Capable of crafting and presenting clear, persuasive reports and insights- with the ability to distill complex data into actionable insights for non-technical stakeholders.
• Prior brand building experience in the consumer tech industry is a plus.