Principal Digital Analytics Engineer
7 days ago
Open your future to incredible career potential. Work for an industry-leader who invests in their people. Southern Glazer’s Wine & Spirits is North America’s preeminent wine and spirits distributor, as well as a family-owned, privately held company with a 50+ year legacy of success. We were named by Newsweek as a Most Loved Workplace and are included on the Forbes lists for Largest Private Companies and Best Employers for Diversity.
As a full-time employee, you can choose from a full 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 reimbursement, a wellness program, parental leave, vacation accrual, paid sick leave, and more.
At Southern Glazer’s, you’ll enjoy an environment where continuous learning and growth are supported and experience a culture where you are respected, and your voice is heard. If you’re looking to fill your glass with opportunity, come join our FAMILY.
OverviewSitting in the Enterprise Data and Analytics organization, and partnered with cross-functional data product teams, the Principal Analytics Engineer is a full stack analyst who translates raw data into powerful tools, services, and insights 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 workflows.
Primary Responsibilities- A natural analyst with perpetual curiosity and mind for scientific discovery.
- Leverage raw, dirty, and multi-sourced data signals, design, build and deliver datasets that unlock insightful information for teams across the enterprise.
- Develop and deploy data observability automation for data products ensuring a high degree of confidence covering batched and real-time streaming data.
- Utilize basic to deep statistical skills to aggregate and enrich datasets by developing business aligned and impactful metrics, measures, and predictive features.
- Adept in building and deploying data pipelines using industry standard cloud services and modern code bases like SQL, Spark, and Python.
- Experience in designing and deploying different data structures tied to different data use cases such as relational databases, knowledge graphs, NoSQL/unstructured, etc.
- 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.
- 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.
- Co-design new platform capabilities and workflows for platform engineering teams in support of new ways of working and speeding end-to-end delivery.
- Work directly with machine learning engineers to tackle advanced predictive modeling challenges and data processing needs.
- 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.
- 9+ years building data pipelines leveraging common languages such as SQL, Spark, Python, etc.
- 9+ years hands-on experience working in a modern cloud environment (AWS, GCP, Azure) leveraging modern data structures and services (file storage, RDMS, streaming services, ELT, etc.)
- 9+ years leveraging statistical or algorithmic modeling methods to answer questions and solve measurement and prediction problems.
- Experience working with modern data lakehouse software and structures such as Databricks and/or Snowflake.
- Ability to breakdown multiple complex asks and deliver solutions with agility.
- Experience designing and deploying data products as part of a modern analytics cloud platform.
- Experience operating successfully in an environment of transformation with competing priorities and complex matrixed organizations.
- Superb interpersonal skills; ability to build relationships in a distributed working model.
- Physical demands include a considerable amount of time sitting and typing/keyboarding, using a computer (e.g., keyboard, mouse, and monitor), or adding machine.
- Physical demands with activity or condition may include walking, bending, reaching, standing, squatting, and stooping.
- May require occasional lifting/lowering, pushing, carrying, or pulling up to 20lbs.
Southern Glazer's Wine and Spirits, an Affirmative Action/EEO employer, prohibits discrimination and harassment of any type and provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Southern Glazer's Wine and Spirits provides competitive compensation based on estimated performance level consistent with the past relevant experience, knowledge, skills, abilities, and education of employees. Unless otherwise expressly stated, any pay ranges posted here are estimates from outside of Southern Glazer's Wine and Spirits and do not reflect Southern Glazer's pay bands or ranges.
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