Sr Digital Analytics Engineer

What You Need To Know

Shape a remarkable future with us. Build a career working for an industry leader that truly invests in their people – and equips them with leading technology, continuous learning, and the ability to bring their best selves to work. As the premier wine and spirits distributor, Southern Glazer’s isn't just one of Forbes’ Top Private Companies; it's a family-owned business with deep roots dating back to 1933.

The reputation of Southern Glazer’s is well-established, and it's no surprise that we are regularly recognized for our culture. Southern Glazer’s has been recognized by Newsweek as one of America’s Greatest Workplaces for Inclusion and Diversity, as well as for Women and Parents and Families. These accolades speak volumes about our commitment to creating a supportive and inclusive culture of belonging for all employees.

As a full-time employee, you can choose from a wide-ranging menu of our Top Shelf Benefits, including comprehensive medical and prescription drug coverage, dental and vision plans, tax-saving Flexible Spending Accounts, disability coverage, life insurance plans, and a 401(k) plan. We also offer tuition assistance, a wellness program, parental leave, vacation accrual, paid sick leave, and more.

By joining Southern Glazer’s, you would be part of a team that values excellence, innovation, and community. This is more than just a job – it's an opportunity to build the future of beverage distribution and grow with a company that truly cares about its people.

Overview

Sitting in the Enterprise Data and Analytics organization, and partnered with cross-functional data product teams, the Senior Analytics Engineer is a full stack analyst who translates raw data into powerful tools, services, and insights that that solve real business challenges for our suppliers, customers and internal sales and operational teams. This individual will have the hard and soft skills to build and deliver impactful data products in a business domain-aligned data products organization. They work fluidly with enterprise functions to co-create data driven insights, BI teams to enhance self-service capabilities, data scientists to develop predictive services, and platform engineers to enhance tools and works flows.

Primary Responsibilities

• A natural analyst with perpetual curiosity and mind for scientific discovery
• You can leverage raw, dirty, and multi-sourced data signals, design, build and deliver datasets that unlock insightful information for teams across the enterprise.
• Have the ability to develop and deploy data observability automation for data products ensuring a high degree of confidence covering batched and real-time streaming data.
• You can leverage basic to deep statistical skills to both aggregate and enrich datasets by developing business aligned and impactful metrics, measures, and predictive features.
• Are adept in building and deploying data pipelines using industry standard cloud services and modern code bases like SQL, Spark, Python.
• Have experience in designing and deploying different data structures tied to different data use cases such as relational databases, knowledge graphs, NoSQL/unstructured, etc.
• Are a novice to advanced hands-on skills working with variations of data APIs (as well as providers) to extract and/or use data in place.
• Experienced in standing up streaming data systems and developing data driven alerts and monitors to identify real-time opportunities for teams to action across enterprise functions.
• You have expertise in one or more of the following business areas as it pertains to advanced data analytics: marketing and digital advertising, ecommerce, mobile apps, supply chain, sales, logistics, and/or finance.
• Enjoy co-designing new platform capabilities and workflows for platform engineering teams in support of new ways of working and speeding end-to-end delivery.
• Have a background in working directly with machine learning engineers to tackle advanced predictive modeling challenges and data processing needs.
• Can leverage new AI/automation tools to accelerate data and analytics delivery such as leveraging LLMs to create conversational interfaces to data tables, generating data tables from raw datasets, generating semantics from data, generating data catalogs from datasets.

Additional Primary Responsibilities

• Experienced in standing up streaming data systems and developing data driven alerts and monitors to identify real-time opportunities for teams to action across enterprise functions. 

• You have expertise in one or more of the following business areas as it pertains to advanced data analytics: marketing and digital advertising, ecommerce, mobile apps, supply