Data Analytics Engineer

Position Type: Remote
Contract Length: 4 months
Position Overview:
This role is responsible for completing the data visualization tasks in partnership with the existing team working on the existing tool. 
Required Skills:

• Planogram and/or CPG Sales experience preferred
• 5 years of experience in data analytics and analysis
• Prior experience working with data visualization tools such as Tableau or Power BI
• Prior experience working with data manipulation tools such as Alteryx
• Bachelor’s Degree required
• Strong knowledge of relational, dimensional, and semantic data modeling.
• Proficiency in methodologies such as star schema, snowflake schema, and semantic models.
• Knowledge and experience in working with relational/non-relational databases, e.g., Databricks, Snowflake, Azure
• 3+ years of developing and maintaining the data modeling and reporting ecosystem, ensuring service level agreements and data quality.
• Experience working in a high-performing agile delivery model, aligning with Scrum Masters, Product Owners, and other execution team members to deliver rapid and impactful solutions that align with business stakeholders' strategy.
• Experience with coding languages such as Python, R, SQL
• Foundational knowledge in statistical modeling
• Project Management and organizational skills
• Strong communication skills, including with technical and non-technical stakeholders
• Ability to distill insights from data and explain key takeaways

Duties:

• Maintain and optimize the multi-year strategic vision for the space analytical platform
• Refine the plan to account for changes in the long-term business strategy and new technological capabilities
• Validate prioritization of enhancements are prioritized in alignment with business objectives
• Identify solutions to address analytical gaps by working cross-functionally with groups such as Information Services (IS) including data architects and data scientists
• Become the subject matter expert on the current toolset along with marketplace capabilities within this space
• Troubleshoot issues with space analytic tools to ensure data is accurate and complete; maintain records of nuances with the data
• Support peers with analytics to help influence the future of the category, including space acquisitions, fixture innovations, feature implementations, merchandising standards and beyond
• Data mine data platforms to uncover new insights and answer business questions; present findings back to peers and leadership to drive business decisions
• Influence internal decision-making and planning based on insights derived from working with peers and data mining
• Partner with IS to optimize ways to mine the data for insights and support team members with data extracts 
• Create and maintain models to help influence optimal assortment, flow, location, etc.
• Build and optimize clustering in alignment with customer strategies
• Synthesize actionable insights using multiple data sources – Syndicated, customer, space etc.
• Leverage analytical tools such as Space Planning (JDA/Blue Yonder), Alteryx, Tableau, and more
• Question the status quo and continually challenge yourself and the team with what is possible; develop test and learn opportunities to identify new ways to grow sales for the candy category