Data Engineer

13 hours ago


Oklahoma City, Oklahoma, United States Loves Travel Stops & Country Store Full time
Job Title: Analytics Engineer

We are seeking a highly skilled Analytics Engineer to join our Advanced Analytics Team at Loves Travel Stops & Country Stores. As an Analytics Engineer, you will play a critical role in supporting the broader business through data-focused projects, developing and automating data solutions that drive business profitability, increase efficiencies, and improve the customer experience.

Key Responsibilities:
  • Develop deep fluency in Loves business performance, products, strategy, and customers.
  • Work with multiple data platforms to perform ad hoc reporting, database mining, and analysis.
  • Build and maintain scalable data models that make data readily available and easily accessible for business analysts and data scientists.
  • Ensure data integrity and quality by implementing data quality checks and validating data sources.
  • Collaborate with Data Engineers to make new data sets accessible, automate and enhance data products, and resolve data issues.
  • Assume responsibility for the analytics data architecture within our team, including optimizing the process of transforming both internal and external data to facilitate accurate, timely, and user-friendly analytics.
  • Develop and maintain documentation for current and future data products within the company's data catalog.
  • Communicate complex data and technical concepts to non-technical stakeholders in a clear and concise manner.
Requirements:
  • BA/BS minimum, Masters preferred, in a relevant field, such as business analytics, mathematics, statistics, finance, economics, management information systems, computer science, engineering or other quantitative fields.
  • 1-2+ years of experience preferred in retail, sales, marketing, data, IT, or operations with a focus on business intelligence, data analysis, or analytics engineering.
  • Experience with data manipulation, reporting, and validation.
  • Proven experience with troubleshooting principles and issue resolution techniques.
Skills and Physical Demands:
  • Proficiency querying data from databases using SQL.
  • Familiarity with data pipeline and ETL tools, including low/no code applications.
  • Experience in data cleaning and modelling for use in business analytics.
  • Understanding of data warehouse principles and database structures, especially in cloud-based systems.
  • Knowledge of Data visualization tools (Tableau preferred).

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development. If you are a motivated and detail-oriented individual with a passion for data analysis and business intelligence, we encourage you to apply for this exciting opportunity.


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