Business Intelligence Analyst Job at OTR Solutions, Roswell, GA

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  • OTR Solutions
  • Roswell, GA

Job Description

OTR Solutions is an innovator in the transportation industry providing a suite of supply chain financial products including factoring, fuel, and business management focused solutions. We help new and established companies get fast access to the funds they need for daily operations. As a Private Equity backed FinTech company, we are looking to grow our best-in-class financial organization. We continue to evolve our Cloud-Native platform that will drive the next wave of innovation in the industry and fuel OTR’s growth. We are looking for growth minded, collaborative technologist who love to create, innovate, and learn cutting-edge solutions on the latest and greatest technology.

OTR has been recognized as a “Top Workplace” by the Atlanta Journal-Constitution since 2016!

As a BI Analyst at OTR Solutions, you’ll play a key role in transforming raw data into strategic insights. You'll work with a variety of teams — including Product, Operations, Finance, and Engineering — to solve business problems using advanced analytics, statistical modeling, and machine learning.

Please note: We do not sponsor work-related visas.**

Responsibilities:

  • Analyze large and complex datasets to identify trends, anomalies, and opportunities.
  • Design and implement predictive models and machine learning algorithms to support business decisions (e.g., credit risk, fraud detection, customer segmentation).
  • Partner with cross-functional teams to define KPIs, build data dashboards, and drive data-informed strategies.
  • Present analytical findings and data visualizations to both technical and non-technical stakeholders.
  • Contribute to the development of data infrastructure, pipelines, and best practices for model deployment and monitoring.
  • Continuously research and evaluate new data science tools and methodologies to enhance capabilities.

What we look for:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 3–5 years of professional experience in a data science or advanced analytics role.
  • Proficient in Python or R, with solid experience in data manipulation libraries (e.g., pandas, numpy) and machine learning frameworks (e.g., scikit-learn, XGBoost).
  • Strong SQL skills for querying large datasets.
  • Experience with dashboarding tools like Power BI, Tableau, or similar.
  • Deep understanding of statistical modeling, regression, classification, and clustering techniques.
  • Excellent problem-solving, critical thinking, and communication skills.
  • Experience in fintech, logistics, or transportation industries is a plus but not required.

Perks and Benefits:

OTR provides a competitive, comprehensive compensation package for our full-time employees:

  • Paid Certifications
  • Certification Bonus
  • Eligibility for Individual and Company bonus programs
  • Medical, Dental, Vision, Life/ AD&D Insurance, Short-Term Disability
  • Pet Insurance, Paid Family Leave, Employee Assistance Program
  • Fully Paid Maternity Leave
  • 401(k) with Company Matching
  • Generous PTO, Sick/Mental Health Days, Flex Holidays + Company Paid Holidays
  • Travel Stipend to support Work Life Balance
  • Leadership Development and Training
  • Continuous Learning + Professional enhancements
  • Weekly Catered Lunches + Casual Dress Code
  • Company Paid Fitness Membership
  • Volunteer Days and Opportunities with Company-Partnered Charities
  • Internal Inclusion programs

OTR’s mission is to create exceptional value for our clients by providing industry leading financing and back-office solutions. Three pillars that are crucial to supporting that mission are outstanding customer service, technology that creates efficiency for ourselves and our customers, and a culture that provides the opportunity for employees to achieve greatness.

OTR Solutions is an Equal Opportunity Employer

Job Tags

Holiday work, Full time, Temporary work, Casual work, Work visa, Flexible hours,

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