Data Analyst - Mktg Analytics

Role overview

This role is for a CRM-focused data analyst supporting a major retail business. The position centers on turning customer, loyalty, and marketing data into actionable insights that improve campaign strategy, customer engagement, and overall business performance. It combines analytical problem-solving with hands-on work in data preparation, reporting, visualization, and solution delivery.

The analyst will use technologies such as Alteryx and Salesforce, along with a strong background in data analytics, to help shape decisions across marketing and other business functions. The work requires an agile, end-to-end mindset spanning idea generation, data engineering, cleaning, coding, testing, deployment, reporting, and ongoing maintenance.

Key responsibilities

• Handle analytics requests by turning data into clear recommendations and business insights, including interactive dashboards and leadership reports.
• Create descriptive analytical models that support decision-making across areas such as marketing, corporate purchasing, real estate, and other support teams.
• Build, run, improve, and maintain team data production workflows, including weekly reporting, automation, quality checks, validation, and collaboration with subject matter experts.
• Serve as a main analytical resource for strategic, cross-functional initiatives that depend on data.
• Continue developing expertise in analytical methods, tools, data sets, validation techniques, and communication of findings.

Required qualifications

• A bachelor’s degree in a relevant analytical field such as data analytics, economics, finance, geography and GIS, computer science, statistics, data science, engineering, marketing, business, or an equivalent combination of education and experience.
• At least 1 year of experience in an analytical role involving data manipulation, interpretation, report creation, and summarizing insights.
• At least 1 year of experience in one or more of the following: SQL, financial performance analysis, R or similar statistical tools, or GIS-based demographic analysis.
• For recent graduates, relevant coursework may satisfy the experience requirement.
• Strong knowledge of mathematics and statistics.
• Working knowledge of accounting and/or finance, including basic accounting principles.
• Ability to work independently without close supervision.
• Self-directed work style with the ability to take initiative.
• Comfort working under pressure and in time-sensitive situations.
• Good time management and prioritization skills.
• Ability to inspect, clean, transform, and model data from multiple sources to find meaningful patterns and support decisions.
• Capability to interpret and explain financial information.
• Ability to learn and apply new procedures, concepts, and information quickly.
• Understanding of how different parts of an organization connect and influence one another.
• Creativity, innovation, and strong problem-solving ability.
• Ability to build and sustain professional working relationships with associates, managers, customers, and vendors.
• Customer-oriented mindset.
• Ability to influence others and secure buy-in.
• Negotiation, active listening, presentation, verbal communication, and written communication skills.
• Ability to collect data extracts and turn findings into concise, decision-ready reports.
• Advanced proficiency in Microsoft Word and Excel.
• Basic proficiency in Microsoft PowerPoint.
• Intermediate proficiency in Microsoft Access.
• Experience with SSMS or another SQL-based application.

Preferred qualifications

• MBA or a master’s degree in an analytical discipline such as analytics, economics, finance, computer science, statistics, data science, engineering, marketing, business, GIS, or GIScience.
• 3 or more years of experience in analytics.
• Certification in data science, business analytics, Salesforce, or GIS professional credentials.
• Recent completion of Coursera or similar courses that demonstrate ongoing learning in analytics.
• Knowledge of data analysis methods, including inspection, cleansing, transformation, and modeling for decision support.
• Strong understanding of information systems design methods and testing processes.
• Ability to tell stories with data through visualizations.
• Expert-level Word and Excel skills.
• Intermediate PowerPoint skills.
• Advanced Access skills.
• Experience with Alteryx, Tableau, Power BI, and other BI or ETL tools.
• Experience with Salesforce.
• Experience with ArcGIS/ESRI.
• Experience with marketing practices such as segmentation, targeting, audience creation, customer data usage, and data privacy.

Benefits

• Employee stock ownership plan with annual Publix stock contributions at no cost to associates.
• Option to buy additional shares of company stock.
• 401(k) retirement savings plan.
• Medical, dental, and vision coverage.
• Paid time off.
• Paid parental leave.
• Short- and long-term disability coverage.
• Tuition reimbursement.
• Free hot buffet-style lunches at facilities with a cafeteria.

Year-end bonus

Associates who remain employed through the bonus issue date receive an extra month of pay each year, prorated during the first year. This is treated as a 13th month of pay in the annual compensation calculation.

Additional information

Applicants may need to complete extra steps to remain under consideration. Email should be checked every day, including spam or junk folders, because time-sensitive requests may require action within 24 to 48 hours. The company advises applicants not to use a company email address during the application process. A confirmation email is sent after successful submission.

The employer will not file immigration-related petitions or applications with U.S. immigration authorities on behalf of noncitizens for employment or continued employment in the United States, including H-1B, TN, or permanent residence sponsorship.