Job Description
JOB RESPONSIBILITIES:The Data Analyst will support tolling operations, customer accounts, and revenue systems by transforming complex data into actionable insights. Key responsibilities include:
- Collaborate with internal and external stakeholders to understand business needs and translate them into data requirements and analytical solutions
- Analyze tolling, transactional, financial, and operational data to support decision-making and performance monitoring
- Identify trends, patterns, anomalies, and data quality issues across large and complex datasets
- Develop and deliver standard and ad hoc reports, dashboards, and visualizations for executives, managers, and operational teams
- Apply statistical and analytical techniques to evaluate business performance, operational events, and system behavior
- Convert complex datasets into clear, concise, and business-friendly insights
- Validate data accuracy by identifying gaps, inconsistencies, redundancies, and errors across source systems
- Prepare comprehensive technical and analytical documentation to clearly explain findings and recommendations
- Perform root cause analysis for operational issues, system defects, and unusual tolling or customer activity
- Extract and integrate data from CRM systems, databases, and operational platforms to support routine reporting and executive inquiries
- Support cross-functional initiatives and provide data insights for planning, forecasting, and future growth
- Troubleshoot and document data, process, and system-related issues in coordination with technology and operations teams
- Providing support for additional projects as required, including data to support planning for future growth
QUALIFICATIONS:To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
- Must be self-starter
- Ability to work with minimal direction in a fast paced / high-pressure environment
- Ability to prioritize tasks and directly support the department managers
- Good troubleshooting and error isolation skills
- Excellent oral/written communication skills are required, including demonstrated ability to package analytical results into an executive summary and present to senior leadership.
- Advanced knowledge of Excel, Power BI, and SQL
- Intermediate skills of Word and PowerPoint; along with other MS Office products, such as Visio, Access
- Exercises logic and reasoning to define problems, establish facts and draw valid conclusions
- Experience or exposure to AI/ML and data science techniques (such as predictive analytics, anomaly detection, or pattern recognition) is a plus
EDUCATION & EXPERIENCE:
Bachelor’s degree in business, management, economics, accounting, finance, information system or significant progress towards a degree.
- 3 – 4 years in data analysis, research, compilation, and/or report writing and design work experience
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