
Senior Business Analyst
4 weeks ago
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.
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