About AnnalectAnnalect is the Data & Technology arm of Omnicom Media GroupAnnalect's 4,000+ innovators leverage data and technology to help clients across Omnicom build relationships that matter - whether that means fostering consumers' trust in brands, building new experiences, or delivering advanced analytics where it's most needed. Annalect is the driving force behind Omni, Omnicom's unique open operating system, which works hand-in-hand with clients' and partners' data and tools, to orchestrate better marketing outcomes.Annalect's unique approach to data and technology - one that relies on transparency, neutrality, and interoperability - allows us to deliver purpose-built and scalable solutions that make data actionable. Our advanced teams of product leaders, data scientists, consultants, and engineers enable us to meet the business goals of our internal and external clients.Team OverviewMarketing 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.Position OverviewAs an Analyst on the Marketing Science team, you will be tasked with processing and modeling vast datasets into compelling and actionable insights. You will also build automated processes and front-end utilities to deliver these insights more effectively and more efficiently. You will work directly with other analysts and managers in Marketing Science, as well as client and agency teams, to communicate your findings and build strategies around them.Key ResponsibilitiesTranslating 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
- With the leaders of the functional specialty teams, keeping track of projects being run by the Functional Specialists to ensure they are done on time and to right level of quality
- 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
Required Skills And Qualifications
- 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
- 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)
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.
#LI-CM1This 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 insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.Compensation Range$45,500-$65,000 USDThis role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.Review Our Recruitment Privacy Notice