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Senior Analytics Manager Market Research

Posted 2 days ago

macpower digital assets edge privateBrooklyn (OH)

SENIORITY

Lead

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About the role

Job Description Job DescriptionRole Summary: The Senior Analytics Manager leads enterprise-wide quantitative and qualitative research to drive strategic decision-making and enhance client and employee experiences. This role functions as a "player-coach, " directly managing a team of three analysts while executing advanced statistical modeling and data integration across disparate sources.
Location: Brooklyn, OH New York, NY Technical Skills & Data Expertise: Utilize Python (preferred), R, SPSS, SAS, or SQL to extract, manipulate, and analyze large, complex datasets. Apply advanced statistical techniques, including Structural Equation Modeling (SEM), Elastic Net (ENET), and K-means clustering. Interpret and validate code logic to troubleshoot data pipelines and ensure absolute data accuracy. Recommend and evolve quantitative methodologies to improve research outcomes. Leverage AI and automation to streamline analysis and expand access to behavioral and operational data points. Maintain expert proficiency in MS Excel (including advanced tools like PHStat2) and PowerPoint for data visualization. Functional & Leadership Responsibilities: Directly manage and mentor three analysts, providing guidance on analytical best practices and technical development. Synthesize complex findings into compelling narratives that provide a clear path from data insight to business action. Establish a "knowledge warehouse " of repeatable code and standardized processes for junior team members. Collaborate across cross-functional departments to align research priorities with high-level corporate strategic goals. Identify opportunities for process improvement to enhance the efficiency of the analytics lifecycle.
Behavioral Skills & Qualifications: Demonstrate an intellectually curious and detail-oriented mindset. Thrive in fast-paced, ambiguous environments while managing multiple competing priorities. Exhibit exceptional written and verbal communication skills for presenting to executive stakeholders. Possess 10 years of experience in Data Analytics or a related field (7 years specifically with Python/SQL). Maintain 3 years of experience in a formal leadership or managerial role. Hold a Bachelor's degree in Behavioral Science, Economics, Data Science, or a related field (Master's degree is preferred).

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