Manager in Marketing Analytics & Data Science - New York

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 5 offices: 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 Ownership on the client relationship of the managed accounts. Promote confidence and proximity relationships with blue‑chip clients at EXEC level. Ensure day‑to‑day operational management of key accounts and coordinate several projects simultaneously. Cultivate an external network with a client‑centric approach. Responsible for the production of statistics and econometric modeling. Ensure the respect of Ekimetrics standards of excellence on the strategic recommendations delivered. Ability to manage data scientists. Lead strategic consulting missions for key clients around the company portfolio. Bring real value into our projects by helping top management define marketing & business strategic direction and implement changes needed to achieve sustainable performance improvement. Build broad client relationships at VP level to create new business opportunities. 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 engagement, retain top performers and support the development of future leaders at Ekimetrics. Involved in the company’s development initiatives and strategic decisions. Strongly represent Ekimetrics' culture, bring leadership insight specific to industry or functional analytics and continue to build Ekimetrics’ reputation and brand. Qualifications Strong knowledge and experience in Marketing Mix Modeling/Optimization (MMM/MMO) or marketing and/or media measurement and effectiveness. Understanding of media variables/econometrics and prior modeling experience across large data sets. Knowledge and/or understanding of coding languages such as Python (preferable) or R. Experience working with clients and account management. Strong ability to develop new and lasting client relationships at senior levels (including business leaders) within the sector and a focus on complex analytic issues. Team‑oriented and collaborative working style, both with clients and within the organization. Capacity to develop high‑impact thought leadership that articulates a forward‑thinking view of the market. Excellent communication and presentation skills – especially translating complex technical findings into insights and stories for stakeholders. Demonstrated ability to develop younger talent and build a high‑performing team. What We Offer Final base salary is determined by a multitude of factors and varies from candidate to candidate. Determining factors for base compensation include, but are not limited to, professional background, years of experience and skillset. A reasonable estimate of the base salary for our NYC office is $140,000. In addition to this base salary range, we have a comprehensive benefits package, generous bonus package, and a dynamic promotions and salary raise structure. Medical insurance, dental and vision An emphasis on work‑life‑balance and generous PTO Dynamic environment with a strong culture and great offices Close‑knit team with friendly environment, bi‑monthly team events and more Creative and entrepreneurial start‑up environment with vertical mobility Best‑in‑class methodologies and cutting‑edge technologies Unique training package with 70+ sessions Growth to develop a double profile in data science and strategic consulting Client exposure up to the executive level Opportunities for international mobility Ekimetrics is an equal‑opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status or other legally protected categories, subject to applicable law. Please note that we do not offer visa sponsorship or transfer for this position. $140,000 - $140,000 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr