Business Data Analyst / Fully remote / SQL
Business Data Analyst / Fully remote / SQL
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Business Data Analyst / Fully remote / SQL
Houston, Texas
100% Remote
Contract
$70/hr - $75/hr
Job Description
This is a fully remote, long-term contract opportunity with a national organization leading the charge in tolling and transportation infrastructure. The team operates at the intersection of technology, public-private partnerships, and customer experience—leveraging cutting-edge data strategy to drive smarter, faster, and more efficient mobility solutions.
They’re currently seeking a Business Data Analyst with a strong hybrid background across data engineering, business systems, and analytics. This person will serve as a critical bridge between technical teams and business stakeholders—supporting digital transformation efforts through clean data pipelines, stakeholder insights, system documentation, and user training.
Expect a collaborative, mission-driven culture that values autonomy, continuous improvement, and long-term impact on infrastructure used by millions of drivers daily. This role offers the unique opportunity to apply your technical skills to meaningful, real-world systems.
Contract duration: 6 months
Required Skills & Experience
- 4+ years of experience in data analysis, development, or database administration
- Advanced SQL skills and experience with relational databases (e.g. SQL Server, Oracle)
- Experience with data modeling, ETL pipelines, and data warehousing best practices
- Proven ability to gather and translate business requirements into technical deliverables
- Excellent problem-solving and analytical thinking
- Clear, confident communicator with executive-level presentation skills
- Proficiency in Excel, PowerPoint, Word
- Able to work independently while navigating cross-functional priorities
Desired Skills & Experience
- Experience working in high-volume transaction environments (e.g. transportation, tolling, payments)
- Familiarity with cloud database platforms (AWS, Azure, or GCP)
- Scripting experience in Python, R, or similar languages
- Exposure to SDLC and Agile environments
- Comfort working with external vendors or outsourced service teams
What You Will Be Doing
Work Breakdown
- 50% Data Analysis, Reporting & Dashboard Development
- 25% Business Requirements Gathering & Documentation
- 15% Testing, UAT, and Training Development
- 10% Stakeholder Communication & Strategic Input
Daily Responsibilities
- Analyze and interpret large datasets to support business decisions
- Develop data validation processes and support governance initiatives
- Lead user testing, system walkthroughs, and documentation
- Identify opportunities for process improvement and digital transformation
- Translate non-technical business needs into functional data-driven solutions
- Serve as a liaison between IT, business units, and external partners
You Will Receive The Following Benefits
- Medical, Dental, and Vision Insurance
Applicants must be currently authorized to work in the U.S. on a full-time basis 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
If you have questions about this posting, please contact support@lensa.com
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