Manager of Data Analytics

Posted 4 Days Ago
Be an Early Applicant
San Francisco, CA, USA
In-Office
201K-201K Annually
Junior
Food • Retail
The Role
Lead and manage the enterprise analytics platform and a small team to build data products, pipelines, and advanced analytics (ML/AI). Define data models and governance, oversee cloud migrations and vendor integrations, optimize costs, and align data strategy with business objectives. Supervises four employees.
Summary Generated by Built In

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.

Job Description Summary:

Position:    Manager of Data Analytics
Location:    345 Schwerin Street, San Francisco, CA 94134

Job Description:

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).

Skills Required

  • Master's degree in Computer Science or related field (or foreign equivalent)
  • Minimum two years post-baccalaureate experience as a Data Architect, Data Engineer, or related position involving data warehouse design and ETL/ELT processes
  • Experience with data governance
  • Experience with data integration
  • Experience with cloud migration
  • Experience with Spark
  • Experience with Azure Databricks
  • Experience with data warehousing
  • Experience building advanced analytics using statistical modeling, machine learning, AI, and data mining techniques
  • Experience managing data pipelines and optimizing data platform performance; ability to document vendor-supported systems
  • Supervisory responsibility (position supervises 4 employees)
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The Company
1,815 Employees
Year Founded: 1921

What We Do

See's Candies is an American chocolatier founded in 1921, dedicated to making candy with the finest, freshest ingredients. The company produces a variety of chocolates and candies, including assortments, decorated eggs, and chocolate bunnies.

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