Sr. Analytics Manager - Market Research [207987]

Aquent; New York (NY); On-site; USD 100,000 - 130,000; Full time

Job summary

A prominent financial services company is seeking a Senior Analytics Manager in New York to join their Experience & Design team. This role demands expertise in data analytics, including Python and SQL, and involves direct management of three analysts. Responsibilities include data integration, analytics design, and improvement processes. Candidates should have at least 7 years of experience in analytics and a Bachelor's degree in a relevant field. This hybrid position offers exciting opportunities in the banking and financial services sector.

Qualifications

• 7+ years of experience using Python and SQL.
• 1+ years in a lead or managerial role.
• Ability to write, read, and interpret code for troubleshooting.

Responsibilities

• Extract, manipulate, and analyze large datasets using data analytics platforms.
• Recommend new quantitative methodologies and evolve existing ones.
• Lead the development of other analysts and manage three direct reports.

Skills

Python

SQL

SPSS

R

Advanced Excel

Data visualization

Communication skills

Education

Bachelor’s degree in Behavioral Science, Economics, Data Science or related field

Master’s degree (preferred)

Tools

MS Excel

PowerPoint

Job description

Overview

EXCITING Sr. Analytics Manager – Market Research OPPORTUNITY. Hybrid in NYC OR Cleveland OR Buffalo, NY.

Our client, one of the largest bank-based financial services companies in the US, is hiring a Sr. Analytics Manager Market Research to join 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 (including Python, SQL, SPSS, R, and 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 or other regulated industries.

Essential Job Functions

• 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 evolve quantitative methodologies already in practice.
• Advanced Analytics Execution: Apply advanced statistical techniques (SEM, ENET, K-means, etc.) to uncover actionable insights.
• 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.

Required Qualifications

• Education: Bachelor’s degree in Behavioral Science, Economics, Data Science, or related field (Master’s preferred) or equivalent experience.
• Experience: 7+ years of experience using Python, SQL; 1+ years in Lead/managerial role.
• Technical Expertise: 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.
• Analytical Skills: Ability to interpret complex data from multiple sources and connect insights across studies.
• Communication: Exceptional written and verbal skills.
• Tools: Proficiency in MS Excel, PowerPoint.
• Mindset: Intellectually curious, detail-oriented, and comfortable in fast-paced, ambiguous environments.