Product Manager - Data & Analytics

Our culture values critical thinking, flexible collaboration, and lifelong learning. In this role you will represent internal stakeholders as part of a team providing a best of class data lake / warehouse, visualizations and reporting, enterprise messaging, API access, and externally facing data sharing. This Product Manager - Data & Analytics role is a highly analytical product role that requires detailed and efficient product discovery with many different sets of stakeholders, excellent communication, and strategic thinking from a progressive technologist.

Role/Fit Specifics:

• You have excellent business and analytical skills, both quantitative and qualitative

• You are a strong advocate for stakeholders

• You have a knack for building simple, elegant solutions for complex problems

• You are comfortable proposing strategic solutions to business needs, coalescing feedback, and iterating

• You enjoy writing concise requirements with a mastery of technical and customer detail

Essential Duties and Responsibilities

• Intake needs and priorities from many internal/external stakeholders

• Build strong relationships with internal stakeholders

• Analyze, assess, and articulate impact and cost of competing priorities

• Write user stories, detailed acceptance criteria and manage a prioritized product roadmap

• Analyze, manage, iterate, and track the continued success of features in production

• Lead/participate in agile ceremonies: design sessions, retros, demos, etc.

• Explain “the why” behind any product feature decision

Product/Role Specific:

• Overland Park, KS hybrid (Tue-Thur in office)

• Less than 10% travel required

• Member of the TreviPay Product and Technology team

Education, Experience, Certification Requirements

• Bachelor’s degree or equivalent work experience

• Strong practical knowledge of agile SDLC methodologies

• 2 years of experience with Business Intelligence/Analytic solutions

• Firm understanding of relational databases within cloud infrastructure

• Familiarity with REST APIs, service-oriented architecture

Preferred Education, Experience, Certification Requirements

• Experience creating data visualizations in Sisense, Tableau, ThoughtSpot, or similar visualization tool

• Experience with Snowflake, Databricks, Redshift, or similar cloud-based data lake/warehouse

• Familiarity with SQS/SNS, RabbitMQ, or similar pub/sub messaging

• Ability to create and interpret basic SQL scripts