/Data Analytics Engineer

OverviewTekWissen Group is a workforce management provider throughout the USA and many other countries in the world. Our client is an American multinational company and one of the largest chocolate manufacturers in the world. It also manufactures baked products, beverages and many more that are produced globally.Position: Data Analytics EngineerLocation: Hershey, PA 17033 Duration: 4 Months Job Type: Contract Work Type: RemoteJob DescriptionData Analytics Engineer to Support Commercial Data Store Team with Salty Shelf Analytics/Reporting This role is responsible for completing the data visualization tasks necessary for the Salty Category Shelf Analytics in-house capability. This work will be completed in partnership with the existing team working on the existing Candy Mints and Gum (CMG) tool. This role will sit within the existing IS team working within the Agile software development lifecycle workstreams. This role is focused on standing up Salty in-house capabilities centered on co-developing the design for the Performance/Space Analytics dashboards, in partnership with the Business lead. This role will require an understanding of the business needs and partnership with a data engineer, who will support this role by developing data models to meet visualization & reporting needs. This will include the documentation of the process. The individual will work closely with Commercial functions – Category Management and IS partners. This role will also partner closely with Client’s Enterprise Data team to ensure projects are aligned with Client data & technology strategies. What You’ll DoMaintain and optimize the multi-year strategic vision for Client’s 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 Client’s data platforms to uncover new insights and answer business questions; present findings back to peers and leadership to drive business decisions Influence internal Client decision-making and planning based on insights derived from working with peers and datamining Partner with IS to optimize ways to mine the data for insights and support team members with data extracts from Client’s platforms 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 What You’ll Need To SucceedIntellectual Curiosity Strong problem-solving capabilities Prior experience working with data visualization tools such as Tableau or PowerBI Prior experience working with data manipulation tools such as Alteryx 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. 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 3-5 years of experience in data analytics and analysis Prior Category Management. Planogram and/or CPG Sales experience preferred Bachelor’s Degree required Top Three Technical SkillsFamiliarity with data analytics & visualization tools (PowerBI, SQL, Databricks/Snowflake, & Azure Cloud) Experience with the Agile Software Development Lifecycle CPG experience working with IS + Business partners across various business units Must Haves3-5 years of experience Software Skills and Purpose (if applicable): Databricks, Snowflake, & Power BI Industry Experience: CPG TekWissen® Group is an equal opportunity employer supporting workforce diversity. TekWissen is an emerging global human capital, recruitment and IT services organization. Operating since 2009, we draw upon more than a decade of staffing experience to deliver critical talent acquisition solutions and IT engagements for our clients. We’re founded on a culture that is passionate about delivering tailored solutions, that create lasting partnerships.Our global footprint covers six countries: United States, Canada, Australia, India, United Kingdom and the Philippines. This allows us to work in close partnership with organizations and manage everything from global talent needs with demanding resourcing strategies, to single sites with lower recruitment volumes.TekWissen® is an equal opportunity employer supporting workplace diversity.