Sr Analytics Engineer

Colonial has provided a wide range of opportunities for job candidates who are highly qualified, skilled, motivated and team players. Employees find exciting opportunities to grow and develop their careers at a stable company which offers a generous compensation and benefits package that includes annual incentive bonuses, retirement plans, insurance coverage and a host of other features that support a happy, active, productive and rewarding life. Come to Colonial, a great place to work, where people matter most, and where safety 24/7 is paramount.

Ready to work for Colonial Pipeline Company?

Are you intrigued by the thought of being part of revolutionizing the energy industry and a new era in the pipeline industry? Do you want to be a part of a company that is obsessed with excellence in everything we do? A company growing and expanding our business that is full of opportunity? If so, we are seeking smart, safety focused, and energetic professionals to join our team to help us to the next level of excellence!

What is it that we do at Colonial Pipeline Company?

Colonial Pipeline is the largest refined products pipeline in the United States, transporting more than 100 million gallons or 2.5 million barrels per day. Colonial transports various grades of gasoline, diesel fuel, home heating oil, jet fuel, and fuels for the U.S. military through a pipeline system. Colonial transports approximately 45 percent of all fuel consumed on the East Coast, providing refined products to more than 50 million Americans.

About the Senior Analytics Engineer Position

The Senior Analytics Engineer is a key member of our Data Analytics team, responsible for designing, building, and maintaining scalable data and analytics solutions that empower stakeholders across the organization. This role partners closely with business, data science, data platform, and data governance teams to translate complex business needs into reliable, actionable insights that drive decision-making and business outcomes.

Based in Alpharetta, this position offers the opportunity to work on enterprise-wide data initiatives while helping shape modern analytics practices, including DataOps, advanced analytics, and AI/ML enablement.

What You Get to Do

• Build, deploy, and maintain data models that support analytics, data science, and business use cases.
• Design and develop ETL data pipelines to ensure reliable, high-quality data delivery.
• Create and maintain analytics products and BI solutions that drive measurable business outcomes.
• Partner with functional teams to identify opportunities, solve business problems, and translate stakeholder requirements into technical metrics and documentation.
• Act as a trusted data advisor, promoting effective and responsible use of data across the organization.
• Collaborate with Data Governance to define and implement data quality rules, standards, and metrics.
• Apply software engineering best practices to analytics code and data products.
• Develop data visualizations and storytelling assets that clearly communicate insights to business leaders.
• Partner with Data Science and Data Platform teams to support advanced analytics, AI/ML solutions, and enterprise data pipelines.
• Embed DataOps principles into daily work to improve reliability, automation, and scalability.

What You Bring to the Table

• Bachelor’s degree in a related field or equivalent practical experience.
• 5+ years of experience in analytics engineering, data engineering, data modeling, or a closely related discipline.
• Proven experience building and maintaining analytics data models and ETL pipelines.
• Strong background in partnering with business stakeholders to deliver data-driven solutions.
• Experience in applying software engineering and CI/CD best practices in analytics environments.
• A solutions-oriented mindset with the ability to clearly communicate complex technical concepts.

Skills That Set You Apart

• Advanced SQL and Python skills for analytics and data engineering use cases.
• Strong data modeling expertise and understanding of data engineering principles.
• Experience with BI and visualization tools such as Power BI, Power Apps, or similar platforms.
• Data reliability and automation experience, including validation, orchestration, and testing (e.g., DBT).
• Experience with ETL tools and platforms such as Alteryx, Azure Data Factory, or equivalent.
• Familiarity with cloud environments, real-time data, machine learning concepts, or DevSecOps practices.
• Strong written, verbal, and data storytelling skills.

Advantages of Working at Colonial Pipeline Company

Getting to work for a company that helps to meet our country’s energy needs and keeps us moving. Team members who care about each other while accomplishing remarkable things. Highly competitive benefits – check out Colonial’s Total Rewards.

Are You Up to the Challenge?  What Are You Waiting For? Apply Today!

Colonial Pipeline is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, disability, sexual orientation, veteran status or any other reason prohibited by federal, state or local law.

Statement to all Third-Party Agencies and Similar Organizations:

Colonial Pipeline accepts resumes only from agencies with which we formally engage their services. Please do not forward resumes to our applicant tracking system, Colonial Pipeline employees, hiring managers, or send to any Colonial Pipeline facility. Colonial Pipeline is not responsible for any fees or charges associated with unsolicited resumes.