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Our client, one of the largest bank-based financial services companies in the US, is hiring a Sr. Analytics Manager – Market Research to joing the company’s Experience & Design team. This dynamic team drives enterprise-wide quantitative and qualitative research to inform strategic decisions and enhance client and employee experiences. This role requires strong technical skills in data analytics platforms/software (examples: Python, SQL, SPSS, R, advanced Excel such as PHStat2) and combining across multiple disparate data sources to deliver actionable insights. The ideal candidate will lead the development of other analysts in service to the broader client experience team and desired business outcomes. In addition, this person will have 3 direct reports. Priority is experience within Banking & Financial Services.
Job Responsibility:
Data Integration & Analysis: Extract, manipulate, and analyze large datasets using data analytics platforms
interpret code logic to validate data pipelines and ensure accuracy
Analytics Design: Recommend new quantitative methodologies for consideration and/or or evolve quantitative methodologies already in practice
Process Improvement: Identify opportunities to automate analysis, including leveraging AI and ensure access to broader range of behavioral and operation data points
Best Practice Development: Create a knowledge warehouse for repeatable code and processes that can be leveraged by more junior analysts
Cross-Functional Collaboration: Build strong relationships across the team and bank to align research priorities with strategic goals
Manager: This role will directly manage three analysts, acting as a player-coach, guiding team members on technical and analytical best practices
Insight Storytelling: Synthesize findings into deep, compelling narratives and presentations and teach directs how to create a clear path from one insight to another
Requirements:
Bachelor’s degree in Behavioral Science, Economics, Data Science, or related field (Master’s preferred) or equivalent experience
7+ years of experience using Python, SQL
3+ years in Lead/managerial role
Strong data analytics platform skills for statistical analysis, automation, and data modeling (Python preferred, R, SPSS, etc.)
Ability to write, read and interpret code for troubleshooting and validation
Ability to interpret complex data from multiple sources and connect insights across studies
Exceptional written and verbal skills
Proficiency in MS Excel, PowerPoint
Intellectually curious, detail-oriented, and comfortable in fast-paced, ambiguous environments