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Business Analyst

Product Management | Austin, TX | Full Time

Job Description

Revionics is the leading provider of SaaS-based pricing, promotion, markdown and space solutions is seeking an energetic, data-driven Business Analyst. This position will be reporting to the Product Manager (PI & Analytics), the Revionics Business Analyst role contributes to the organization in many capacities, with the priority being the creation, maintenance, and communication of detailed, high-quality requirements to help drive new releases in the development of Revionics Life Cycle Price Optimization solutions.


Who you are:

  • Become a subject matter expert in assigned areas of responsibility through active participation in strategy, design, and development team meetings and hands-on product usage
  • Work closely with both internal and external sources to groom and maintain thorough, accurate, and detailed product requirements and use-cases/stories
  • Support product and service teams with deep data analyses and support analytical exploration projects
  • Communicate strategic business vision and requirements from product managers into lower-level tactical requirements for the development team
  • Translate technical questions/issues from the development team into language that both internal and external stakeholders will understand
  • Proactively engage the appropriate internal and external stakeholders with questions or to validate design either through wireframes or product demonstrations
  • Own the quality of the product being developed through quality assurance procedures
  • Attend daily scrum, weekly sustaining engineering, and bi-weekly sprint reviews
  • Assist product manager by providing input during roadmap planning, release scoping, and product release communications
  • Act as a proxy for the Product Manager as needed


What you Have/Can Do as a Minimum: 

  • Two+ years’ experience as a product-oriented Business Analyst working with Analytical and Big Data software, preferably related to the retail industry
  • Bachelor’s degree or higher in a related subject, with an emphasis on writing and communication skills
  • Basic data querying and exploration skills (Excel, SQL, Tableau etc.)
  • Advanced MS Office skills (Word, PowerPoint, Excel)
  • Working knowledge of the Software Development Lifecycle, preferably in an Agile development environment, and the use of enterprise-level collaboration, version control, and bug/case tracking software and procedures
  • Familiarity with enterprise / business-to-business SaaS software
  • Knowledgeable in product management and requirements management processes
  • Knowledge and experience in Web applications, HTML, XML, CSS, and Business Intelligence reporting
  • Self-starter, competent at working independently with minimal supervision
  • Strong investigative/research/interview orientation and skills


What you can Do to Stand Out: 

  • Retail experience with emphasis in price optimization.
  • Data analysis experience working with large datasets and visualization tools
  • Location preference in Austin, TX


Who We Are:

Predictive. Prescriptive. Profitable Retailing.

We provide SaaS-based pricing, promotion, markdown and space solutions. Retailers in all segments across the world adopt our self-funding model to improve top-line sales, demand, and margin. Our customers gain that competitive edge and improve their value proposition while outmaneuvering competitor price aggressiveness.

During the days of first-generation price optimization solutions, at a time where science in retail was viewed as voodoo, our founder Jeff Smith nurtured the concept that there could be a better way. He went on to form Revionics around that new-generation vision, and to this day we remain committed to his goal:  To help retail businesses and everyday users solve complex pricing challenges leveraging the latest machine learning science with a completely transparent process, usable in an intuitive way that fits into retailers’ normal business flows.

Our company success is based on our 4 foundational pillars: 

  • A SaaS-based architecture for fast ROI
  • Productized, transparent science
  • Machine Learning algorithms that continue to evolve with changing market conditions and shopper behaviors for built-in future proofing
  • A supportive culture focusing on both our people and customers’ well-being.

Our Core Values:

  • Integrity: Be honest, dependable and complete
  • Transparency: Anticipate questions and give clear, usable answers.
  • Continuous Improvement:  Be relentless about improvement – for ourselves and our customers
  • Curiosity: Shine lights in dark corners; seek to ensure we know what we don’t know
  • Accountability: Own the problem and the solution
  • Dedication: Don’t stop until the numbers are right and systems are up
  • Humility: Put the spotlight on our customers, not ourselves