Marketing Analyst I

About the Role

Gas South is seeking an innovative, curious, and adaptable self-starter to join our team as a Marketing Analyst I. This position is a great fit for individuals who enjoy solving business problems with data, analyzing customer behavior, and uncovering insights that drive business growth. You will work in a fast-paced, collaborative, and innovative environment where you will apply analytical, statistical, and problem-solving techniques to support sales and marketing strategy. This role sits at the intersection of marketing analytics, sales analytics, and data analytics, leveraging customer, operational, and market data to answer complex business questions and improve decision-making across the organization. As a Marketing Analyst I, you will be a problem-solver who provides valuable analytical and technical support while partnering with stakeholders across the business to identify opportunities, evaluate performance, and drive continuous improvement. You will help transform large and complex datasets into actionable insights that influence customer acquisition, retention, revenue growth, and overall business performance. Becoming a Marketing Analyst at Gas South offers an exceptional growth opportunity through a four-level analyst career path (Analyst I, Analyst II, Senior Analyst, and Lead Analyst).

Key Responsibilities

• Analyze customer behavior, sales, marketing, and operational data to identify trends, patterns, risks, and opportunities that support business growth and strategic decision-making.
• Develop a strong understanding of customer acquisition, retention, profitability, and lifecycle performance to help answer key business questions and support organizational objectives.
• Aggregate, transform, clean, and prepare large datasets from multiple sources to support reporting, analysis, and modeling activities.
• Extract, transform, and load data from a variety of sources, including databases, third-party APIs, CRM platforms, marketing systems, and internal applications.
• Design, develop, and maintain dashboards, reports, and visualizations that communicate complex information in a clear and actionable manner.
• Conduct ad hoc analyses, customer segmentation studies, campaign evaluations, A/B testing, and other analytical projects to support business initiatives.
• Apply analytical techniques to evaluate customer behavior, marketing effectiveness, sales performance, and other business outcomes.
• Support forecasting, planning, and performance measurement efforts by identifying trends and providing data-driven insights.
• Validate data inputs, outputs, calculations, assumptions, and anomalies to help ensure analytical accuracy and reliability.
• Document methodologies, business rules, assumptions, and data definitions to support transparency, reusability, and long-term maintenance.
• Communicate findings, recommendations, project status, and potential issues clearly and effectively to team members and business partners.
• Collaborate with cross-functional teams, including Marketing, Sales, Finance, Operations, and Risk Management, to understand business needs and develop data-driven solutions.
• Continuously develop technical, analytical, and business knowledge while seeking opportunities to improve processes, reporting, and analytical capabilities.

Requirements & Tech Stack

• Proactive, curious, and possess strong critical thinking skills.
• Enjoy solving business problems with data and are motivated by understanding customer behavior, identifying patterns, and uncovering insights that drive better decisions.
• Leverage data to evaluate performance, answer complex business questions, and support strategic decision-making.
• Comfortable working with large datasets and have an interest in developing technical skills through tools such as SQL, Python, business intelligence platforms, and data visualization technologies.
• Naturally curious about how businesses operate and enjoy exploring the relationships between customer behavior, marketing performance, sales outcomes, and financial results.
• Energized by learning new concepts, improving processes, and finding efficient ways to transform data into actionable insights.
• Thrive in a collaborative environment, enjoy tackling open-ended analytical challenges, and are excited to develop both your technical and business acumen.
• Proficiency in Microsoft Excel.
• Exposure to analytical tools such as SQL, Python, R, Power BI, Tableau, or similar technologies.
• Basic understanding of data analysis, data validation, and structured problem-solving concepts.
• Exposure to data preparation, data transformation, database concepts, or reporting through coursework, projects, internships, or professional experience.
• Interest or exposure to customer analytics, marketing analytics, sales analytics, or business intelligence reporting.
• Interest in understanding customer behavior and the factors that influence how customers engage with products, services, and marketing efforts.
• Experience creating dashboards, reports, presentations, or visualizations that communicate information clearly and effectively.
• Exposure to analytical techniques such as regression analysis, forecasting, A/B testing, hypothesis testing, or other quantitative methods through coursework, projects, or professional experience.
• Excellent time management and organizational skills with the ability to manage multiple priorities.
• Strong quantitative, analytical, and problem-solving abilities with demonstrated attention to detail.
• Demonstrated curiosity and willingness to learn technical tools, analytical methodologies, and business processes.
• Ability to communicate findings clearly to both technical and non-technical audiences.

Qualifications

• Bachelor's degree in Data Science, Data Analytics, Engineering, Economics, Statistics, Marketing, Business Analytics, Finance, Mathematics, or a related quantitative field preferred.
• Internship, co-op, academic project, or professional experience involving data analysis, business analysis, marketing analytics, customer analytics, or a related quantitative discipline.

Location

• Atlanta, Georgia
• Gainesville, Florida

Pay Range

$76,000 — $81,186 USD

Benefits

• Full medical, dental, and vision coverage
• Employer-paid life and disability coverage
• Annual employer contributions of up to 12.5% to your 401k
• Remote work options available based on business needs
• Annual performance incentive is a % of annual benchmark based on position level
• Paid four-week sabbatical every five years
• Opportunities to volunteer in the community
• Education assistance up to $5250 per year