Senior Consultant - Marketing Analytics

Responsibilities

• Analyse and optimize ROI of marketing campaigns across channels
• Perform analysis on user app data to identify whales in the add mobs ecosystem and do the right kind of recommendations for retention and increasing revenue from such app partners
• Work closely with the leaders and senior analysts on the paid media side for ad mobs and figure out strategies and analyses to help with the program which focuses on increasing revenue from prime customers in the ecosystem
• Ambiguity and scoping skill in defining measurement gap structuring minimum viable measurement approaches and translating high level business priorities into structured analytical roadmaps
• Monitor and evaluate key performance metrics, including: Campaign activations; Revenue generation; Overall campaign performance
• Conduct deep-dive analysis on social media campaigns and performance metrics
• Build insights and actionable recommendations to improve marketing effectiveness and efficiency
• Leverage data to support strategic decision-making

Requirements

• Strong background in Marketing Analytics / Decision Science (mandatory)
• Funnel and cohort analysis ability to build and measure unmanaged and managed setup funnels survival rate benchmarks and retention tenure tracking baselines
• Campaign attribution and reporting experience developing tracking mechanisms for lifecycle marketing campaigns to evaluate Roy investment adjustments and campaign influence on partner adoption
• Strong understanding of partner lifetime value addressable publisher churn reduction and revenue impact analysis tracking in-yard captured revenue and time-to-live
• Hands-on experience in: Marketing Mix Modeling (MMM); Multi-Touch Attribution (MTA) and Long-Term Attribution (LTA); Funnel Analytics; Campaign Analytics; ROI analysis across marketing and social media channels
• Data extraction and infrastructure proficiency in querying and working with large-scale product data tables tracking setup to activation drivers and navigating complex data environments such as product data tables and internal bi systems
• Proficiency in working with and setting up agenting workflows using clients first-party agenting tools
• Proficiency in: SQL; Advanced Excel; Strong understanding of statistical and analytical techniques, including: Correlation, Regression, Forecasting, Segmentation; Experience with AdMob; AdSense
• Cross-functional collaboration ability to partner closely with product analyst engineers
• Excellent communication and stakeholder management skills

Benefits

• As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.