Optimizes data retrieval, develops data set processes, algorithms and identifies ways to improve data reliability, efficiency and quality
Develops, constructs, tests and maintains data architecture, extract, load, transform (ELT) processes, logical and physical data models, data marts, meta data repositories and data warehouse designs in alignment with business requirements
Collaborates with business stakeholders to identify needs and opportunities for improved delivery, business processes and tasks that can be automated, and to understand the underlying data resources and their relationship to deliver actionable data driven insights and decision support
Work to understand and collaborate with the following team members to ensure a seamless transition between databases and user facing applications

Requirements

Bachelor’s degree in computer science, applied mathematics, engineering or another IT-related field; or equivalent combination of education and/or relevant work experience
2 years of experience in data analytics engineering and experience in business intelligence, data warehousing, or analytics
Must be eligible to work in the United States without need for work or visa residency sponsorship
Demonstrated ability to develop and maintain cloud technologies
Understanding of relational and dimensional modeling to facilitate data wrangling, code operationalization and exploration of data
Proficient in SQL, PL/SQL, and ELT implementations and experience with RDBMS/NoSQL databases

Benefits

Health insurance
401(k) matching
Paid time off
Flexible work arrangements
Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data retrievaldata set processesalgorithmsdata architectureextract, load, transform (ELT)logical data modelsphysical data modelsdata martsmetadata repositoriesdata warehousing

Soft Skills

collaborationcommunicationproblem-solvinganalytical thinking