Manager of Data Analytics

See's Candies•Marshall Township, MN

1d•Onsite

About The Position

Work is Sweet! '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. 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. 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. To apply, please email your resume to: [email protected] . Salary range: $200,907/year #LI-DNI See's is an EOE See’s will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable local, state or federal law (including San Francisco Ordinance #131192 and Los Angeles Municipal Code 189.00). Welcome to See's Candies where every career choice is as delightful as our candy! Whether you're a seasoned professional or just starting your journey, you've come to the right place to satisfy your career cravings. From crafting irresistible confections to spreading joy to customers, every role at See's Candies is a chance to make a difference and leave a lasting impression. Apply now and join our extraordinary team dedicated to making life a little sweeter, one chocolate at a time. Your next sweet adventure starts here! Like a Box of Chocolates, we believe that variety is the spice of life, and it takes many unique individuals working together to reach our common goals. At See's, teamwork is the secret ingredient. For over 100 years, See's Candies has been dedicated to making candy Mary See's way; helping to make the world a sweeter place, one piece of candy at a time. See's has grown from one shop to over 240 shops across America, plus a flourishing online store, without ever compromising on the best tasting, highest quality candy around.

Requirements

Master’s degree or foreign equivalent in Computer Science or a related field
two (2) years of post-baccalaureate experience as a Data Architect, Data Engineer, or related position involving data warehouse design and ETL/ELT processes.
data governance
data integration
cloud migration
Spark
Azure Databricks
data warehousing

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.