Marketing Analytics & Attribution Manager

Marketing Science is focused primarily on Marketing Mix Modelling and Multi-touch attribution. Marketing Science teams manage data processing (primarily in SQL, R scripting, and Excel), data exploration and the statistical analysis of media data. Marketing Science team members handle client’s requests, work closely with internal cross-agency teams to support their needs, collect data from clients, clean and organize that data, and create statistical models , and build presentations highlighting key results, recommendations, and takeaways. Qualifications Required Skills And Qualifications Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields. 3+ years of experience in a quantitative data driven field, media, or other relevant field Strong excel skills (Vlookups, Pivot Tables, Macros and other advanced functions) Experience with delivering and operationalizing reporting solutions for clients Excellent communication skills are a must Understanding of marketing mix modeling/econometric analysis and/or other branches of market research (custom survey research, advertising testing or tracking, new product research, etc.) Experience with advanced data management programs (SQL, Access, etc.) Experience with other coding languages (Java, R, Python, etc.) Experience with data visualization platforms (Qlikview, Plotly, SAS, Tableau, etc.) Prior agency experience Basic understanding of databases and Data Modeling Passion for mentoring and coaching others 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), social (e.g. Facebook Insights, Twitter Insights, Crimson Hexagon) Knowledge and experience with syndicated research sources/tools (e.g. ComScore, Nielsen, GfK MRI, Simmons, etc) Responsibilities Position Overview: As a Manager on the Marketing Science team, you will be tasked with aiding in the transformation of vast data sets into compelling and actionable insights. You will work directly with senior analysts and managers to implement the resulting strategies alongside a team of strategists and investors. Key Responsibilities: Assists with team training and mentoring Performs ad-hoc quantitative analyses at the client’s request and manages client expectations. Performs statistical analysis Develops multi-source attribution models. Process and clean data (SQL, Excel, Python/R) Use and contribute to existing code base (Python, R). Hands on model building Work with Internal stakeholder to collect, process, and validate marketing data Presents actionable insights to clients and client agency teams Able to communicate technical concepts and conversation to lay person Perks of working at Annalect 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. As part of Omnicom, we have the backing and resources of a global billion-dollar company, but also have the flexibility and pace of a “startup” - we move fast, break things, and innovate. Compensation Range: $75,000 to $105,000. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, Benefits include: health/vision/dental insurance, 401(k), Healthcare Flexible Spending Account, Dependence Care Flexible Spending Account, vacation, sick, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits. #J-18808-Ljbffr Annalect