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Manager in Marketing Analytics & Data Science - New York

ekimetrics
Companyekimetrics
CategoryData & Analytics
LocationNew York
RemoteHybrid
EmploymentNot stated
LevelManager
SalaryUSD 140k
Posted18 Sept 2019
Last verified11 Aug 2026
SourceEmployer ATS (lever)
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Description
Ekimetrics is a leader in data science and AI solutions provider. Since 2006, we have been using data science to optimize marketing and business performance and the transition to more sustainable performance.   If you are driven by the desire to "crack" the most complex business questions using data and AI, and you want to be an actor in your professional future, your place is surely at Ekimetrics!   At Ekimetrics, we aim to help our clients rethink their business model by reconciling economic, environmental and social performance, thanks to data science. In our New York office, we focus primarily on Marketing Analytics and the deployment of our ‘MMO’ offer (Marketing Mix Optimization), leveraging both our analytics-as-a-service expertise and our own data and AI platforms. Our 400 experts with varied profiles (business, data, technology) and the use of our technological assets guarantee fluidity between strategy and execution. The result is faster delivery times and a tangible business impact.   📊Key figures about Ekimetrics ·       400+ data science experts globally ·       1000+ diverse projects & 350+ clients ·       5offices: Paris, Hong Kong, Shanghai, London and NY ·       UK data company of the year 2023 ·       Voted Great Place to Work 2023 ·       Microsoft’s sustainability partner ·       Voted as a leader in “Marketing Measurement & Optimization” by Forrester wave 2023   About the Role:   To sustain our quick growth, we are seeking a Manager to join our team in New York.   The successful candidate will show both analytic skills and strong interest for marketing & business strategy.   The Manager plays a key role in Ekimetrics organization. They will be contributing to the growth and health of the company, including providing thorough leadership by closely working with the Ekimetrics Management team. The ideal candidate will focus on delivering analytics projects that will lead to significant, value-led transformation for our clients. This requires building strong client relationships by understanding their needs and offering the right solutions.   Responsibilities:   1. Client Facing Ownership on the client relationship of the managed accounts. Promote a confidence and proximity relationship with blue chip clients at EXEC Level Ensure the day-to-day operational management of key accounts and coordinate several projects simultaneously. Cultivating your external network with a client centric approach   2. Data Science and Modeling Responsible for the production of statistics and econometrics modeling Ensure the respect of Ekimetrics standards of Excellence on the strategic recommendations delivered Ability to manage data scientists   3. Business Acumen Lead strategic consulting missions for key clients around the company portfolio. The ideal candidate will bring real value into our projects by helping top management to define marketing & business strategic direction and implement changes needed to achieve sustainable performance improvement. Broad client relationships at VP level in order to achieve new business opportunities.   4. Team management/People developer Recruit and align resources to hire, develop staff, manage performance, and create/enhance data scientists at all levels. Actively work with the team to improve team’s engagement, retain top performers and support the development of future leaders at Ekimetrics   5. Company development Managers at Ekimetrics are strongly involved in the company’s development initiatives. The successful candidate will be involved in strategic decisions and be a strong representative of Ekimetrics' Culture. Bring leadership insight specific to Industry or functional analytics and continue to build Ekimetrics’ reputation and brand.   Qualifications   The successful candidate will possess both, a strong track record in analytics & modeling and capacity to conduct business & strategy assignmen