Data Analytics Engineer

Purpose The Data Insights Team is responsible for delivering enterprise-wide data, business analytics, and data science functions and connecting business needs with supporting technology. These teams ensure that all data across the enterprise are well defined, of high quality, available to all necessary business and technology users, and easily used and understood. Additionally, these teams provide expertise in reporting, business intelligence, data science, data engineering and integration, and data quality improvement. This role’s mission is to unlock our data’s power by finding innovative ways to analyze, organize, integrate, and visualize information. The IT Data Analytics Engineer will identify research needs and priorities based on in-depth understanding of the strategic questions that move the business forward.   Responsibilities Partner closely with key stakeholders throughout the organization to analyze data and visualize it in new, accessible, and powerful ways Function as a technical expert on the different reporting and business intelligence solutions Take ownership of existing enterprise dashboards and data tools with an eye for improving those resources to improve self-service analytics Work with large sets of data to build data model prototypes and analytics to support executive and company-wide reporting Act as a liaison between business stakeholders and the data engineering group to set expectations, define requirements, perform data quality assurance testing, and deliver enterprise datasets for self-service reporting Cultivate strong relationships with all stakeholders throughout the business and across the Data Insights Team Run ad hoc analyses to answer specific day to day questions or support larger initiatives Integrate data across multiple data sources to tell cohesive data stories Foster continuous process improvement within the Data Insights organization and functions Partner with security and risk teams to ensure secure, compliant analytics and reporting environments    About You Bachelor's degree in computer science, statistics, mathematics, or related field of study 1 year of experience delivering projects in a complex enterprise environment 2 years of experience manipulating and analyzing complex data with SQL 1 year of experience with data visualization tools, preferably Power BI and/or Tableau 1 year relevant experience with a proven track record of leveraging analytics to drive business impact Experience with SSRS and Dax is a plus Strong planning and organizational skills Experience working on large portfolios of inter-related projects to deliver an enterprise data ecosystem, achieving target outcomes and business value within budget and timeline Able to quickly adapt techniques to the target environment and stakeholders Experience in a retail environment preferred Demonstrated experience building and maintaining strong relationships with business and IT partners Excellent communication skills, both written and verbal, with ability to communicate effectively at all levels of the organization   Physical Requirements Ability to travel up to ~10% of the time, which may include weekends and evenings, as needed Most work is performed in a temperature-controlled environment Incumbent may sit for long periods of time at a desk or computer terminal Incumbent may use calculators, keyboards, telephone, and other office equipment in the course of a normal workday Stooping, bending, twisting, and reaching may be required in completion of job duties