Business Data Analyst Los Angeles, California **100% Remote** Contract $70/hr - $75/hr **Job Description** Join a fully remote, long-term contract opportunity with a nationally recognized leader in transportation infrastructure and tolling. This organization is at the forefront of innovation, merging public-private partnerships, technology, and customer engagement to deliver more efficient and intelligent mobility solutions. We’re hiring a Business Data Analyst with a versatile background spanning data engineering, business systems, and analytics. In this role, you’ll act as a vital connector between technical teams and business stakeholders, enabling digital transformation through clean, well-documented data pipelines, actionable insights, and system/process documentation. The team fosters a mission-first, collaborative work culture that emphasizes independence, continuous learning, and lasting impact, enhancing systems relied on by millions every day. This is a chance to apply your technical expertise in a role that directly supports real-world innovation. **Contract duration:** 6 months **Required Skills & Experience** + 4+ years of professional experience in data analysis, development, or database management + Strong SQL expertise with hands-on experience using relational databases such as SQL Server or Oracle + Familiarity with data modeling, ETL development, and warehouse architecture + Demonstrated ability to convert business needs into effective technical solutions + Excellent analytical and troubleshooting abilities + Strong communication and presentation skills, especially in executive-facing contexts + Proficient with Microsoft Office tools (Excel, PowerPoint, Word) + Self-starter who thrives in a cross-functional, fast-paced setting **Desired Skills & Experience** + Experience working in transaction-heavy environments like transportation, tolling, or fintech + Knowledge of cloud-based databases (e.g. AWS, Azure, GCP) + Basic scripting skills in Python, R, or similar languages + Understanding of SDLC methodologies, including Agile workflows + Experience collaborating with external partners or third-party vendors **What You Will Be Doing** **Tech Breakdown** + 50% Data Analysis, Reporting & Dashboard Development + 25% Gathering Business Requirements & Process Documentation + 15% Supporting Testing, UAT, and Training Creation + 10% Strategic Communication & Stakeholder Engagement **Daily Responsibilities** + Conduct deep-dive analysis of large data sets to guide business decisions + Create data validation processes and reinforce data governance + Facilitate user testing, training sessions, and system documentation + Proactively identify areas for process optimization and digital upgrades + Translate complex business problems into technical data solutions + Act as a liaison among IT, business teams, and external collaborators **You Will Receive the Following Benefits:** + Comprehensive Medical, Dental, and Vision Coverage **Applicants must be currently authorized to work in the U.S. on a full-time basis both now and in the future.** **You will receive the following benefits:** + Medical Insurance - Four medical plans to choose from for you and your family + Dental & Orthodontia Benefits + Vision Benefits + Health Savings Account (HSA) + Health and Dependent Care Flexible Spending Accounts + Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance + Hospital Indemnity Insurance + 401(k) including match with pre and post-tax options + Paid Sick Time Leave + Legal and Identity Protection Plans + Pre-tax Commuter Benefit + 529 College Saver Plan Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance. **Posted by:** Maddie Hausberg **Specialization:** + Data Analyst