Tbwa Chiat/Day Inc
Senior Growth Marketing Analyst Remote US
Tbwa Chiat/Day Inc, Los Angeles, California, United States, 90079
We are looking for a Senior Growth Marketing Analyst who thrives at the intersection of data, product, engineering, and marketing. The ideal candidate will have a strong analytical, marketing, and business background – with a desire to make companies grow.
As a key contributor of the Marketing and Communications team, you will be accountable for the full implementation of our growth marketing strategy: planning, launching, assessing, and optimizing. You will also be responsible for the creation, support, and iteration of our current data models and reporting standards.
In addition, you will be given opportunities to develop data-driven insights and recommendations to help improve our product and marketing effectiveness. You will be on the cutting edge of data science, leveraging our data sources to propose new ideas and drive key strategic outcomes through both offline and online efforts.
Role Overview
Strategy : Strategically drive and efficiently scale paid customer acquisition strategy (online and offline) across channels including but not limited to: paid social, paid search, app installs, content marketing, organic referral, email, influencer marketing, podcast ads, and video advertising. Modeling : Maintain and improve our current data models spanning across LTV, forecasting, CRM, attribution, and more. Develop new frameworks, data science techniques, and predictive analytics to better understand our users and the impact of our marketing investments. Dashboarding : Transform datasets using SQL and Python allowing stakeholders to easily slice and dice pivot tables, charts and dashboards. Build beautiful and insightful dashboards in our BI software, Mode. Reporting : Operate and streamline our reporting standards, providing access to metrics, data, and tools needed for decision-making and optimization by the Growth team and executive team. Cross-functional : Leverage data to drive projects focusing on new user growth, mobile usage, and revenue - collaborating closely with product, marketing, and engineering. Discovery : Enthusiastically mine data and analytics to unearth new insights into user funnel and engagement behaviors, including impacts of current marketing strategies. Optimization : Implement and assess A/B or Multivariate Tests to share in-depth insights of marketing drivers’ effects with the marketing team. We are looking for:
BS/MS or equivalent work experience 3+ years experience with SQL 2+ years experience with Python 3+ years of quantitative or statistical analysis experience 2+ years of experience in marketing, advertising or growth, with advanced knowledge of budget planning, third party analytics, and attribution platforms strongly preferred Expertise in proactive problem-solving and simplifying complex marketing challenges. Strong data visualization know-how - bonus points for experience with Mode Proficiency in effectively communicating data into insights, driving business results through influence and empathy Familiarity with marketing funnels and the economics of user acquisition and retention, including attribution theory, segmentation, LTV prediction, and media mix modeling E-commerce background is a huge plus (either in web or mobile app) The hiring range for this position is below, plus benefits (401K, paid time off, dental, medical, vision, disability, life insurance options). To determine starting pay within the hiring range, we carefully consider a variety of factors, including primary work location, role/level, a candidate’s skills, experience, market demands, and internal parity. You may reach out to a recruiter for additional information. Hiring Range: $110,500 - $138,000 USD
Scroll down to find an indepth overview of this job, and what is expected of candidates Make an application by clicking on the Apply button. #J-18808-Ljbffr Remote working/work at home options are available for this role.
Strategy : Strategically drive and efficiently scale paid customer acquisition strategy (online and offline) across channels including but not limited to: paid social, paid search, app installs, content marketing, organic referral, email, influencer marketing, podcast ads, and video advertising. Modeling : Maintain and improve our current data models spanning across LTV, forecasting, CRM, attribution, and more. Develop new frameworks, data science techniques, and predictive analytics to better understand our users and the impact of our marketing investments. Dashboarding : Transform datasets using SQL and Python allowing stakeholders to easily slice and dice pivot tables, charts and dashboards. Build beautiful and insightful dashboards in our BI software, Mode. Reporting : Operate and streamline our reporting standards, providing access to metrics, data, and tools needed for decision-making and optimization by the Growth team and executive team. Cross-functional : Leverage data to drive projects focusing on new user growth, mobile usage, and revenue - collaborating closely with product, marketing, and engineering. Discovery : Enthusiastically mine data and analytics to unearth new insights into user funnel and engagement behaviors, including impacts of current marketing strategies. Optimization : Implement and assess A/B or Multivariate Tests to share in-depth insights of marketing drivers’ effects with the marketing team. We are looking for:
BS/MS or equivalent work experience 3+ years experience with SQL 2+ years experience with Python 3+ years of quantitative or statistical analysis experience 2+ years of experience in marketing, advertising or growth, with advanced knowledge of budget planning, third party analytics, and attribution platforms strongly preferred Expertise in proactive problem-solving and simplifying complex marketing challenges. Strong data visualization know-how - bonus points for experience with Mode Proficiency in effectively communicating data into insights, driving business results through influence and empathy Familiarity with marketing funnels and the economics of user acquisition and retention, including attribution theory, segmentation, LTV prediction, and media mix modeling E-commerce background is a huge plus (either in web or mobile app) The hiring range for this position is below, plus benefits (401K, paid time off, dental, medical, vision, disability, life insurance options). To determine starting pay within the hiring range, we carefully consider a variety of factors, including primary work location, role/level, a candidate’s skills, experience, market demands, and internal parity. You may reach out to a recruiter for additional information. Hiring Range: $110,500 - $138,000 USD
Scroll down to find an indepth overview of this job, and what is expected of candidates Make an application by clicking on the Apply button. #J-18808-Ljbffr Remote working/work at home options are available for this role.