The Team You Will Be Joining
- Rapidly scaling, private equity backed consumer services and retail company with multiple brands and 100+ locations and counting across the Southeast.
- Incredible C-Suite fostering a cohesive, results-driven culture. Making their mark by creating best-in-class service and experience as they rapidly expand.
WHAT THEY OFFER YOU:
- An enriching environment where you can learn, grow, and make a lasting impact
- Work with a variety of internal teams to help them solve their data needs
- Highly engaged C-Suite and Leadership team who is committed to the growth and development of their people
- Competitive compensation package and a comprehensive suite of benefits
LOCATION:
- Charlotte, NC
WHAT YOU WILL DO:
- Design, develop, and modify robust data infrastructure to accelerate data analysis and reporting processes.
- Collaborate with Engineering, Finance, Marketing, and Operations teams to address and solve complex data challenges.
- Build and maintain scalable data pipelines to support analytics and reporting initiatives.
- Ensure data quality and security by implementing and upholding digital security protocols.
- Conduct in-depth analysis using advanced statistical techniques and machine learning to optimize business performance and inform strategic decisions.
- Oversee the integration of modern technologies into existing data standards and structures.
- Create and manage data management plans to maintain accurate and comprehensive business intelligence systems.
HOW WILL YOU QUALIFY:
- Bachelor’s degree in Computer Science, Information Systems, or a related field.
- Proven experience as a Data Manager or Lead Data Engineer, with at least 6 years in data engineering roles.
- Extensive experience with Python or Java for data processing and analytics.
- Proficiency in schema design, dimensional data modeling, and database management technologies.
- Familiarity with GCP DevOps and a willingness to learn and expand expertise in GCP services.
- Strong understanding of data migration, data mapping, data validation, and reporting practices.
- Analytical mindset with excellent problem-solving, communication, and collaboration skills.
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