Manager of Data Analytics

Responsibilities: Oversee the development, implementation, and maintenance of the company’s enterprise-wide analytics technology, ensuring optimal performance and innovation. Lead a team of analysts and engineers focused on Data Science and Business Intelligence by managing support engineer workload and ensuring comprehensive training and documentation. Oversee development and build advanced analytics capabilities using statistical modeling, machine learning, AI, and data mining techniques. Lead the definition of conceptual, logical, and physical data models. Develop and implement data management strategies, policies, and procedures and define roadmaps for the technical stack underpinning the data platform, ensuring continuous evolution of data capabilities. Establish processes for data acquisition, integration, storage, and accessibility while providing senior technical capabilities and hands-on expertise in data pipeline management and optimization. Develop and maintain comprehensive documentation for vendor-supported systems and processes, aligning technology with business objectives and identifying opportunities for data to add business value. Partner with cross-functional teams to leverage data for business performance, define and document architecture for data products, and drive innovation in analytics techniques and tools. Optimize technology costs and support services against budget, establishing threshold alerts on all technology resources to manage costs effectively. Facilitate effective communication between internal teams and external vendors, ensuring smooth onboarding and offboarding processes, including knowledge transfer. Position also supervises 4 employees.

Do you have experience in Systems integration?, Do you have a Master’s degree?, Educ./experience: Master’s degree or foreign equivalent in Computer Science or a related field, plus two (2) years of post-baccalaureate experience as a Data Architect, Data Engineer, or related position involving data warehouse design and ETL/ELT processes. Experience must include data governance; data integration; cloud migration; Spark; Azure Databricks; and data warehousing. Position also supervises 4 employees.

‘Quality without Compromise’ is not just a motto at See’s Candies. It is the most important ingredient in our recipe for success. See’s Candies has been in business since 1921 and maintains a reputation for producing the highest quality candy and providing superior customer service.

See’s is a leader in the confectionery industry with over 250 retail shops across the USA, a growing e-commerce business, and expanding opportunities internationally. We are seeking friendly, enthusiastic individuals who are passionate about helping us grow and thrive in our second century.