Data & Analytics Manager, AdTheorent
2-3 days a week in office
AI and ML-driven data solutions for advertising and marketing
Job no longer available
AI and ML-driven data solutions for advertising and marketing
201-500 employees
Job no longer available
2-3 days a week in office
201-500 employees
Company mission
To use its advanced machine learning platform and privacy-forward solutions to deliver real-world value for advertisers and marketers.
Role
Who you are
- The ideal candidate for a role with the team thoroughly understands the digital landscape, has a strong eye for detail, can tell a clear story with data, and thrives in a collaborative, team-oriented environment
- Bachelor's degree, MBA or Master's degree in quantitative studies preferred. The equivalent combination of e education, training, and work experience may be suitable
- 4-6 years of relevant experience working in a quantitative business environment
- 1+ years of experience in digital marketing analytics, with exposure to multiple channels (e.g. – Display, CTV, SEM, Social)
- 2+ years of client-facing experience
- 1+ year of team management experience
- Understanding of the programmatic landscape
- Experience designing and executing custom analyses that support client business objectives
- Strong project management skills: ability to concurrently manage multiple deliverables and meet deadlines
- Excellent written and verbal communication skills: ability to tell a compelling story with data
- Strong attention to detail
- Advanced Excel and PowerPoint skills (required)
- Experience with Relational Databases (e.g. – SQL Server) and Business Intelligence tools (e.g. – Tableau) (preferred)
What the job involves
- The AdTheorent Data and Analytics (D&A) team is responsible for organizing, analyzing, and deriving insights and actionable recommendations from digital campaign data. The team then communicates these findings to internal and external stakeholders via concise, impactful deliverables
- Collaborate with clients and other departments to design and execute against analytics and reporting frameworks tailored to meet the needs of each campaign
- Support internal and external stakeholders by understanding their needs, translating those needs into innovative, custom solutions, and delivering on those solutions with a sense of urgency
- Self-sufficiently manage reporting responsibilities and analytical projects with guidance from senior team members
- Work with complex data structures and produce easy-to-understand, error-free, and timely deliverables that analyze user behavior online to provide actionable insights that address client business objectives
- Independently deliver campaign performance results and presentations to internal stakeholders and clients
- Clearly define and manage project deliverables, timelines, and dependencies for junior team members, internal stakeholders, and clients
- Work with the VP of Data & Analytics to identify ongoing analytics needs across the company
- Manage up to three direct reports and provide training, project support, and career advice to junior team members
Our take
Data is invaluable for advertisers and marketers, providing them with information regarding customer locations, purchasing trends, and other datasets that can help facilitate personalized and effective advertisements. However, the amount of data analysis required to achieve such actionable insights is impossible to tackle as a human, preventing businesses from making the most out of today's data-driven digital era.
AdTheorent provides data science solutions driven by machine learning, helping advertisers and marketers to gain actionable insights from large quantities of data that would otherwise be too much to analyze. Through its algorithms, the company enables its clients to benefit from predictive targeting and geospatial intelligence, whilst maintaining a cookie-free privacy approach that does not rely on one-to-one advertising.
Whilst machine learning is currently popular within the data analytics sector, AdTheorent has approached it by openly addressing modern risks associated with data privacy. The company has also taken a unified approach to data storage, storing a large range of industry-specific data to facilitate personalized marketing campaigns. The company has seen considerable growth since its IPO and has received numerous tech, product, growth, and workplace awards.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-12% employee growth in 12 months
Company
Funding (2 rounds)
Sep 2013
$4m
SERIES A
Jan 2012
$1.2m
SEED
Total funding: $5.2m
Company benefits
- Great health insurance through Oxford, low rates, 70% paid by the company
- Reimbursed gym memberships
- 20% Bonus potential for all employees
- 20 PTO days, then in following years - 25 and 30 PTO days.
- Lots of time off and bonus/stealth days are given throughout the year, in addition to floating holidays to choose at your discretion!
Company HQ
Hudson Square, New York, NY
Leadership
Jim Lawson
(CEO, not founder)Experience as Advisor for Interaction LLC from 2006 to 2016. Managing Partner of Mogility Capital since 2011.
Josh Walsh
(Co-founder)Project Manager for Catalyst Online from 2008 to 2009. Experience as Adjunct Professor of New York University.
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