Data Analyst - General Interest

The Mom Project is excited to support their partner, a MI based automotive client, with their upcoming contract based hiring needs. Please note this is a general interest posting. If this role sounds like it could be a match for what you’re seeking, we want to hear from you! Please complete our short application and we will contact you accordingly for roles and locations that fit your profile. Typical Location/Schedule • Hybrid - in Warren, MI with at least 3 days/week on-site. Job Description The main function of a Data Analyst is to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems. Responsibilities • Work with senior management, technical, and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage, and analysis strategies • Write and code logical and physical database descriptions and specify identifiers of the database to the management system, or direct others in coding descriptions • Design, implement, automate, and maintain large-scale enterprise data ETL processes • Modify existing databases and database management systems, and/or direct programmers and analysts to make changes • Test programs or databases, correct errors, and make necessary modifications Skills And Qualifications • A bachelor's degree in a preferred field, such as computer science, computer engineering, or a related field preferred • 2-4 years of applicable experience required • Knowledge of automotive dealer operations, automotive industry, or basic technical knowledge of vehicle repairs preferred • Experience with database technologies and knowledge of ETL process • Knowledge of SQL or at least one scripting language • Experience with BI tools or enterprise data systems like Power BI or SAP preferred • Strong written and oral communication skills • Strong troubleshooting and problem-solving skills • Desire to work with data and help businesses make better data-driven decisions An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. We offer a competitive salary range for our positions. Most candidates who join the team are hired at the median of the posted range, ensuring fair and equitable compensation based on experience and qualifications.