Data Analyst, Business Analysis and Reporting - Lakeland

Publix • Lakeland, FL

19h

About The Position

The Data Analyst provides data science and advanced data analytics solutions and consulting to improve the profitability and performance of Publix’s supply chain. The role uses large data sets and analytical models, drawing on programming, statistics, mathematics, business analytics, machine learning, business intelligence, and database design to deliver descriptive, predictive, and prescriptive models to leaders across corporate, retail, RBU, and other supply chain roles.

The position requires an agile software-development mindset and the ability to deliver end-to-end, full-stack solutions, from ideation and data or feature engineering through data wrangling, modeling, coding, testing, deployment, implementation, and leadership consulting. The Data Analyst reports to the Business Analysis and Reporting Data Scientist. Responsibilities listed are not all-inclusive, and additional responsibilities may be assigned as needed.

Requirements

• Bachelor’s degree in Data Analytics, Information Technology, Computer Science, Statistics, Economics, Engineering, or another analytical discipline from an accredited college or university, or equivalent demonstrated work and/or education experience.
• Experience solving analytical problems.
• Coding skills in SQL and R and/or Python.
• Advanced knowledge of mathematics and statistics.
• Basic knowledge of accounting principles and/or finance.
• Written and verbal communication and interpersonal skills.
• Analytical abilities and decision-making skills.
• Project management skills and sound organizational skills.
• Ability to multitask, prioritize, and continue learning and advancing technical skills.
• Professional manner, ability to work under minimal supervision, and self-directed workload management.
• Initiative and responsibility for learning new skills and processes.
• Ability to help customers understand their needs and how those needs balance with Publix’s needs.
• Self-motivation, commitment, integrity, a positive attitude, and negotiation skills.
• Basic knowledge of statistical analysis and software development tools, including R and Python.
• Basic knowledge of SQL and databases such as Teradata, DB2, Oracle, SQL Server, Access, and NoSQL.
• Intermediate Microsoft Word, Excel, PowerPoint, and Access skills.
• May need to work extended hours and weekends to meet deadlines.
• Self-starter who requires little to no direction in day-to-day activities.
• Willingness to train other associates.
• Willingness to be flexible and adapt quickly and efficiently to change.

Nice To Haves

• Master’s degree in Data Analytics, an MBA, or a master’s degree in another analytical discipline.
• At least three years of analytics work-related experience, in addition to meeting the minimum requirements.
• INFORMS Certified Analytics Professional or similar professional certification.
• Recent completion of Coursera or similar courses demonstrating the ability to stay current with analytics.
• Advanced ability to work with large volumes of data.
• Advanced knowledge of data analytics best practices for optimizing business processes, including financial performance, pricing, labor efficiency, and customer service.
• In-depth understanding of information systems design methodologies and testing processes.
• Knowledge of a specific business area, including its processes and data.
• Advanced knowledge of operations research techniques, including linear and nonlinear programming, simulation, optimization, forecasting, and activity-based costing.
• Knowledge of supply chain and logistics methodologies, processes, workflows, and how they interrelate.
• Knowledge of Publix information systems and data.
• Knowledge of retail operations, RBUs, Corporate Purchasing, Manufacturing, and Distribution.
• Leadership skills, including the ability to influence others.
• Basic knowledge of MicroStrategy and Visual Basic.
• Intermediate knowledge of Power BI and Tableau.
• Advanced knowledge of statistical analysis and software development tools, including R and Python.
• Advanced knowledge of SQL and databases such as Teradata, DB2, Oracle, SQL Server, Access, and NoSQL.
• Advanced Microsoft Word, Excel, PowerPoint, and Access skills.

Responsibilities

• Develop descriptive, predictive, and prescriptive analytical models that provide insights and recommendations for internal supply-chain processes, including retail stores, RBUs, Corporate Forecasting, and support teams.
• Develop interactive dashboards, leadership reports, and ad hoc analyses to provide insights and recommendations for retail stores, RBUs, support teams, and other supply-chain business areas.
• Provide leadership consulting and advisory services using knowledge of advanced analytics processes, data assets, and business processes.
• Lead and participate in complex cross-functional strategic initiatives.
• Continuously learn and maintain and grow professional skills in advanced data analytics.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level