Analytics Developer - Lakeland

Description

The purpose of this position is to provide location specific recommendations, whether at the store, market or customer level, in support of Real Estate, Operations, Marketing, BAR, Emerging Business, Loss Prevention, Human Resources, alternative business concepts, IS/TS, and merchandising initiatives with a focus on automation and self‑service for our business partners. This allows the team to continue to take on additional workload with a small head‑count.

Example: optimize store layouts, merchandising changes based on shifting demographics surrounding our stores, assist with site selection for new stores, develop applications/programs/processes with a focus on automation for the business partner.

The impact this position has on Publix is directly related to the success of our stores/initiatives. Location is extremely important in success.

Responsibilities include:

• Analysis & Report Automation: maintain/develop a self‑serve environment that allows department‑specific users to exploit Spatial Data Science & GIS expertise using developed applications that provide data‑backed solutions to the asked business questions.
• Research, summarize, analyze, synthesize, and visualize multiple datasets from internal sources (BAR, IS, RE, CRM, MBA, CI, LP…) and external sources (competition, sales, demographics, purchase behaviors, customer data…) into a comprehensive final deliverable (report, presentation, infographic, map, story‑map…) that enables decision makers to quickly advance our business backed by data‑driven decision‑making.
• Support the innovation and enable the Spatial Data Science & GIS team to maintain a high level of awareness of location‑based data, systems, processes.
• Manage existing contracts and renewals to ensure Publix is not in breach of contract and there is no lapse in data/service providers.
• Train GIS Analysts on Location Analytics and the skill sets needed to progress into a Location Analytics Developer (spatial statistics, Alteryx, existing methodologies/processes…).
• Dedicating time to Marketing innovation and quality improvement.
• Managing special Marketing‑related assignments, which can include but are not limited to project management, executing reporting, and presenting results to executive leadership.

• Bachelor’s degree in Geography, Geographic Information Systems, Analytics, Information Technology, Computer Science, Statistics, Data Science, Engineering, or another analytical discipline from an accredited college or university.
• 3 years of geography, GIS, analytics, computer science, or similar analytics field work–related experience.
• 1 year experience developing analytical systems, tools, or programs.
• 1 year experience writing R/Python code or similar functionality within other statistical/GIS tools.
• Ability to develop and automate data‑driven recommendations for strategic business partners with advanced technology, tools, systems, and data.
• In‑depth knowledge of demographic datasets and Location Analytics.
• Critical/strategic thinking, problem solving, teamwork, innate curiosity, adaptability.
• Decision‑making, project management.
• Communication (verbal/written), persuasiveness, interpersonal/emotional intelligence.
• Advanced software knowledge of ESRI (Arc Map, ArcGIS Pro, Arc Catalog, ArcGIS Online).
• Basic skills in Python/extensions.
• Basic knowledge of Alteryx, Alteryx Server, & R.
• Willingness to travel up to one week at a time with overnight stays.
• Ability to work a variable work schedule as needed including nights, holidays, weekends, and extended hours to meet deadlines.

• MBA or Masters in Geography, Geographic Information Systems, Analytics, Information Technology, Computer Science, Statistics, Data Science, Engineering, or another analytical discipline from an accredited college or university.
• 5 or more years of geography, GIS, analytics, computer science, or similar analytics field work–related experience.
• 3 years’ experience developing analytical systems, tools, or programs.
• 3 years’ experience writing R/Python code or similar functionality within other statistical/GIS tools.
• Experience with distributed big data tools and processes.
• Any…