As part of this role, you both engage with the business users and partners to elicit requirements and also perform data analysis and metrics definition activities as part of a product team of data scientists, business analysts, and software engineers.
Roles & Responsibilities:
- Lead requirements gathering and user story creation sessions with key business users and partners eliciting business requirements for system functionality.
- Maintain a prioritized backlog according to business value so that each successive sprint is planned clearly and efficiently, and that development decisions are aligned with business needs.
- Perform data analysis across multiple areas of data to drive understanding and documentation of business logic behind key metrics.
- Assist domain experts with ensuring data integrity, testing of system changes, and analyzing data flows for process improvement opportunities.
- Lead sessions to document and drive understanding and alignment across business groups on metrics definition and data usage.
- Engage with key vendors and platform owners to understand functionality and how those platforms can be leveraged to solve business problems.
- Lead development of user guides or documentation on system functionality.
What we expect of you
Doctorate degree
OR Master's degree and 2 years of relevant experience
OR Bachelor's degree and 4 years of relevant experience
OR Associate's degree and 8 years of relevant experience
Or High school diploma / GED and 10 years of relevant experience
Basic Qualifications and Experience
Doctorate degree
OR
Master's degree and 2 years of relevant experience
OR
Bachelor's degree and 4 years of relevant experience
OR
Associate's degree and 8 years of relevant experience
Or
High school diploma / GED and 10 years of relevant experience
Must-Have Skills:
- 5-7 years of experience in a product analyst role, especially with data and AI products.
- Experience performing data analysis across one or more areas of the business to derive business logic to support key metrics.
- Basic SQL knowledge with a minimum of 2+ years of hands-on experience, ability to run analysis and complex SQLs against large sets of data.
- Experience working with business partners to identify complex functionality and translate it into application requirements.
Good-to-Have Skills:
- Familiarity with big data technologies, AI platforms, and cloud-based data solutions.
- Ability to work effectively across matrixed organizations and lead collaboration between data and AI teams.
- Passion for technology and customer success, particularly in driving innovative AI and data solutions.
Soft Skills:
- Excellent analytical and troubleshooting skills.
- Ability to work effectively with global, virtual teams.
- High degree of initiative and self-motivation.
- Ability to manage multiple priorities successfully.
- Team-oriented, with a focus on achieving team goals.
- Strong presentation and public speaking skills.
- Certified Product Analyst (CPA) – AIPMM.
- Certified Business Analysis Professional (CBAP) – IIBA.
