Job description

Job Title-- Business Analyst - Product and pricing Analytics Location- St Louis, MO Duration- 12 Month+ Contract W2 CANDIDATE ONLY Work schedule: 40 hours/week. Full-time onsite M-Th, remote on Fridays Position Overview: As a Business Analyst, you will play a crucial role in delivering transformational data products to support product and pricing innovation. You will collaborate closely with the Product Owner and key stakeholders across the commercial business teams to identify requirements for enhancing, testing and validating data products. The ideal candidates will have a strong background in data analysis, experience in agile methodologies, and knowledge of the CPG industry. Key Responsibilities: • Collect, examine and shape requirements definition across a broad base of stakeholders to ensure all needs are identified, conceptualized and documented. • Responsible for facilitation and harvesting of core business needs, enabling translation, visualization and development of high-quality data products. • Assist with refinement of a robust backlog of user stories through collaboration with Product Owner, Architects, Engineers, Developers and Business Partners. • Enhance end user satisfaction through continuous improvement of usability testing ensuring delivery to the end user s highest needs. • Participate in all agile ceremonies for the assigned product team. • Participate in weekly department meetings. Required Skills • Bachelor s degree in Business, Marketing, Data Analytics, or a related field. • Experience working with Profisee, Azure DevOps, DataBricks and SQL databases. • 3+ years of experience as a Business Analyst, preferably in the consumer package goods space. • Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders. • Strong problem-solving skills and attention to detail. • Experience with agile methodologies and participation in agile team. • Proven skill at balancing technical knowledge with business possibility and acumen. • Ability to deliver high-quality documentation. • High degree of comfort in fast-paced, dynamic and ambiguous environment. • Foundational knowledge of how data is used within business processes and its impact on desired business process outcomes. • Foundational knowledge of data management and advanced analytics requests.

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