Sr. Data Analyst Pricing & Forecasting

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

The Pricing and Forecasting Senior Data Analyst is responsible for leveraging moderate to advanced data analytics to address complex business challenges that include optimizing pricing decisions, evaluating promotional effectiveness, and forecasting demand, focusing on uncovering how data can drive strategic decisions and operational improvements. This role requires a strong analytical mindset, excellent problem-solving skills, and the ability to work collaboratively with cross-functional teams. In addition, the role involves gathering and normalizing data from various sources, ensuring its integrity and quality through strict adherence to information governance practices.

 

The Senior Data Analyst interprets data using advanced techniques to extract insights, develops visualizations to communicate findings, and establishes comprehensive metrics to measure performance.

They propose solutions for data issues, facilitate effective communication between departments, and ensure that all stakeholders are aligned on project goals and timelines.

Primary Responsibilities

• Implement statistical models to identify and reveal trends, patterns, and relationships in data to provide guidance to others for decision making processes.
• Assist in development of comprehensive data product designs that align with organizational goals
• Lead data classification and data-mining activities to enable more accurate analysis.
• Collaborate with SGWS cross functional departments to analyze existing data processes and subsequently recommend improvements.
• Identify, improve and develop product data pipelines in
• Inform solution design and improvements to meet data quality goals while suggesting analytics opportunities and best practices.

Additional Primary Responsibilities

• Monitor and maintain the performance of deployed data products, making necessary adjustments and improvements.
• Analyze, interpret, and simplify model outputs into understandable data stories for stakeholders.
• Create enterprise data visualizations and reports to clearly present to stakeholders.
• Contribute to management of central data stores and metadata to establish quality expectations.
• Conduct thorough testing and validation to ensure the data product meets quality standards.
• Identify opportunities to increase data quality, including automation.
• Continuously evaluate and enhance data products to meet evolving business needs.
• Participates in identifying and implementing techniques for data collection, accuracy and management.
• Report findings and works proactively with data governance, data stewards, business systems to propose methods for remediation.

Minimum Qualifications

• Bachelor’s degree in data science, statistics, mathematics, information science, or related field or equivalent combination of education and work experience.
• Typically, 5+ years of experience as a data analyst, analytics enginee