Data Analyst

Position Summary

Prestige Trucking Insurance is seeking a detail-oriented and analytical Data Analyst to support data-driven decision-making across the organization.

Essential Duties and Responsibilities

• Collect, clean, validate, and analyze data from multiple internal systems to ensure accuracy, consistency, and usability
• Develop and maintain recurring and ad-hoc reports, dashboards, and data visualizations for leadership and business teams
• Analyze business performance metrics, trends, variances, and KPIs to support strategic and operational decision-making
• Partner with finance, accounting, operations, underwriting, and leadership to understand data needs and translate business questions into analytical solutions
• Ensure data integrity through ongoing reconciliation, validation checks, and documentation of data sources and methodologies
• Support budgeting, forecasting, and financial analysis by providing accurate historical data and analytical insights
• Auxiliary with audit and compliance support by preparing data extracts, reports, and supporting documentation as needed
• Identify data anomalies, inconsistencies, or gaps and work with system owners to resolve issues
• Standardize reporting processes and documentation to ensure consistency and scalability across the organization
• Collaborate with IT to support data integrations, system enhancements, and reporting tool optimization
• Develop and maintain data definitions, metrics documentation, and reporting guidelines
• Proactively identify opportunities to improve reporting efficiency, automation, and data quality

Knowledge / Skills / Abilities (KSA’s)

• Analytical & Problem-Solving Skills – Ability to analyze complex datasets, identify trends, variances, and anomalies, and translate findings into clear, actionable business insights.
• Business & Financial Acumen – Understanding of how data relates to financial performance, insurance operations, and business drivers, with the ability to support decision-making through meaningful analysis.
• Data Accuracy & Integrity – Strong attention to detail and commitment to ensuring data consistency, accuracy, validation, and proper documentation across reports and systems.
• Technical & Systems Proficiency – Ability to use data analysis tools, reporting platforms, spreadsheets, and databases effectively to extract, analyze, and present data while supporting data integrity and controls.
• Communication Skills – Ability to clearly present data findings to both technical and non-technical stakeholders through written reports, dashboards, and verbal explanations.
• Cross-Functional Collaboration Ability – Ability to work effectively with finance, accounting, operations, IT, and leadership to understand requirements and deliver reliable analytical solutions.
• Organizational & Time Management Skills – Ability to manage multiple reporting priorities, meet deadlines, and maintain accuracy in a fast-paced, deadline-driven environment.
• Confidentiality & Professionalism – Demonstrated ability to handle sensitive financial, operational, and business data with discretion and professionalism.
• Process Improvement & Initiative – Ability to identify opportunities to streamline reporting, improve data quality, and enhance efficiency through automation and standardization.

Minimum Qualifications

• Bachelor’s degree in Data Analytics, Finance, Accounting, Business, Information Systems, Statistics, Mathematics, or a related field
• 3–5 years of professional experience in a data analysis, reporting, or business intelligence role
• Strong analytical skills with demonstrated experience collecting, validating, and analyzing large datasets
• Proficiency in advanced Excel (pivot tables, lookups, formulas) and data analysis techniques
• Experience developing recurring and ad-hoc reports, dashboards, and performance metrics
• Strong understanding of data integrity, reconciliation, and quality control practices
• Ability to translate business questions into data-driven insights and clear analytical outputs
• Experience working cross-functionally with finance, accounting, operations, and leadership
• Working knowledge of SQL, database querying, or data warehouse environments
• Strong written and verbal communication skills with the ability to present data to non-technical audiences
• High level of attention to detail, accuracy, confidentiality, and professionalism
• Ability to manage multiple priorities and meet deadlines in a fast-paced environment