Annalect is looking to solve the problem of helping clients across Omnicom build relationships that matter through data and technology, specifically in the area of Marketing Mix Modelling and Multi-touch attribution.
Requirements
- Basic understanding of RShiny or Dash (Python/R)
- Basic understanding web application frameworks (CSS/HTML/JavaScript)
- Experience with data visualization platforms (Qlikview, Plotly, SAS, Tableau, etc.)
- Understanding of marketing mix modeling/econometric analysis
- Familiarity with at least some of the following tools: marketing technology (e.g. Data Management Platforms), ad-serving (e.g. Google DCM, Atlas), web analytics (e.g. Google Analytics, Adobe Analytics)
- SQL, R scripting, and Excel
- Data processing, data exploration, and statistical analysis of media data
Responsibilities
- Translating data into clear, compelling, and actionable insights by leveraging advanced analytics tactics conducted by central resources
- Developing and executing attribution and measurement projects
- Ensuring timely follow through on all scheduled and ad hoc deliverables
- Development of presentations to clients, including the results of attribution and modelling projects in a clear and insightful narrative, digestible by a lay person
- Understanding of consumer and marketplace behaviors, particularly those that most impact business and marketing goals
- Evaluating data and research/analytics vendors for client needs or as they approach clients
- Building automated processes and front-end utilities to deliver insights more effectively and more efficiently
Other
- Bachelor’s degree in statistics, mathematics, computer science, economics, engineering, information management, social sciences, or business/marketing related fields. Masters preferred.
- 1 to 2 years of experience in a quantitative data driven field, media, or equivalent coursework or academic projects
- Culture! We have an incredibly fun, collaborative environment that encourages engagement and work/life balance
- Generous PTO that includes vacation days, personal days, a fantastic Summer Friday program and extended time off around the holiday season.
- Three (3) days per week in the office, with flexibility to align with team needs
