Team Lead, Data Science Analytics

Numerator is a data and technology company reinventing market research. Headquartered in Chicago, IL, Numerator has over 1,600 employees worldwide. The company blends proprietary data with advanced technology to create unique insights for the market research industry. The majority of Fortune 100 companies are Numerator clients. What are you waiting for, join us on this amazing journey!

Numerator is looking for a Lead Data Science Analyst to join our growing Analytics team. This is a unique opportunity where you will get a chance to work with an established and rapidly evolving platform that handles millions of requests and massive amounts of transactional data. In this position, you will be responsible for taking on new initiatives to automate, enhance, maintain, and scale analytics.

This Lead Data Science Analyst position on the Numerator Analytics team focuses on empowering internal team members and partners across the organization with insightful data and analytics. If you are excited about data, are results-oriented, and want to join a growing analytics team - this role is for you!

Essential Duties And Responsibilities

• Design and develop reports in BI tools to answer business questions.
• Coordinate with internal stakeholders and product owners to determine business data reporting and analysis requirements.
• Work with Data Engineering counterparts to develop data pipeline and metric definitions.
• Learn and develop expertise in our data structure and storage systems
• Manage a team of analyst. Setting goals, work effort management, upskilling, etc.
• Support production processes to resolve issues
• create visualizations and models for use by multiple parties
• Perform other ad hoc analysis and support as required from business stakeholders
• Communicate data concerns and answers to stakeholders in a clear and concise manner.

• 4+ years progressive experience as a Data Analyst/BI engineer
• 1-2 years of people management experience.
• Experience conducting large scale data analysis to support business decision making.
• Advanced knowledge of SQL with proven experience of using SQL for Analytics in a business environment.
• Demonstrates proficiency in the product development process and setting team goals.
• Demonstrated proficiency with BI tools such as Tableau, Power BI, Domo, etc.
• Experience with Agile methodology of project management is a plus
• Experience communicating complex analyses and methodologies effectively to technical and non-technical stakeholders.
• Proven ability to: work in a team environment, produce results independently, solve complex problems, exhibit strong judgment, lead and manage in a fluid work environment
• Flexible, comfortable working in a fast-paced environment and able to adapt to quick changes
• Advanced Microsoft Excel skills

• Hands-on experience in using Python for Analytics and Automating reports.
• Demonstrated experience with ETL tools such as AirFlow, Talend, SSIS, Informatica, etc.

• Bachelor’s degree in Information Technology, Computer Science, Engineering, or related field required