Location: Cincinnati, OH  

 

Hybrid Schedule: 3 days in office / 2 days at home weekly 

 

Job Summary:  

 

The Manager of Advanced Analytics will lead a team of data scientists and machine learning engineers in delivering data-driven insights to support business decision-making. This role requires a combination of leadership, technical expertise, and strategic thinking to leverage advanced analytics tools and techniques, driving innovation and optimizing business outcomes. This is a hands-on role, and the willingness and ability to jump in and support the work is part of the job. 

 

What You’ll Do  

Strategic Leadership: 

• Develop and implement the advanced analytics strategy to support organizational goals and strategic initiatives 
• Partner with cross-functional teams (e.g., Sales, Pricing, Customer Experience, Finance, etc.) to identify analytics opportunities and translate business needs into actionable projects. 
• Stay informed of emerging analytics trends, tools, and technologies to keep the organization at the forefront of innovation 

Team Leadership: 

• Lead, mentor, and manage a team of data scientists and machine learning engineers, fostering a culture of continuous learning, innovation, and improvement  
• Oversee resource allocation, prioritization, and project delivery to ensure high-quality outcomes within deadlines 
• Support team members in developing their technical and professional skills 

Technical Expertise: 

• Ensure the implementation of best practices in data science, including data cleaning, feature engineering, and model evaluation with a focus on creating scalable, automated solutions 
• Oversee design, deployment and management of analytics platforms (i.e. Snowflake, HEX, Looker) 
• Guide the team in using analytics tools such as Python and SQL, and visualization tools like Looker 
• Manage and balance workload across the team members and support projects as needed  

Business Impact: 

• Communicate complex analytical concepts and results to non-technical stakeholders in a clear and actionable manner 
• Drive measurable business impact by identifying and implementing analytics solutions that enhance decision-making and efficiency 
• Establish and track objectives and key results (OKRs) to evaluate the effectiveness of data science initiatives 

What We Need  

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related intense quantitative field 
• 5+ years of experience in advanced analytics, data science roles 
• 2+ years managing a team 
• Proficiency in programming languages such as Python, R, or SAS 
• Strong knowledge of statistical analysis, machine learning, and data visualization techniques 
• Experience with cloud computing environments (e.g., Snowflake, GCP, AWS, Azure) 
• Expertise with database systems and SQL for querying large datasets 

Desired Qualifications

• Master’s or Ph.D. Degree Preferred 

What You'll Need to Succeed 

• Proven ability to lead and inspire teams in a fast-paced environment. 
• Strong project management skills, with a track record of delivering complex projects on time and within scope 
• Exceptional communication and presentation skills, with the ability to influence stakeholders at all levels 
• Strong ability to translate complex analytical concepts and robust data storytelling skills to communicate insights to various audiences, including non-technical business partners

#LI-ED1 #LI-Hybrid