Description
data extraction
data validation
dashboard reporting
statistical analysis
root cause
data modeling
Act as the interface between the business and operations for providing analytical support for day-to-day operations. Gathers data from across the business, analyze it and translate the results into a non-technical language for team members of all backgrounds. Responsible for building data models to organize important data for different teams across the business and for monitoring and handling data. Assesses programs, schema and process flows to advise business stakeholders on ways to align data and operational statistics with the goal being to evaluate and synthesize data needed to gauge program performance as well as, to identify areas of efficiency and improved performance. Performs highly complex data analysis and data research work. Work involves conducting detailed analysis and extensive research on data and providing results in various formats. Monitors and implements measures to ensure data quality. Responsible for using standard statistical tools, methods and techniques to translate data into actionable insights using data visualization software. Works under limited supervision, with moderate latitude for the use of initiative and independent judgment.
- Collaborate with internal and external stakeholders to understand business needs and translate them into data requirements and analytical solutions.
- Identify trends, patterns, anomalies, and data quality issues across large and complex datasets.
- Analyze tolling, transactional, financial, and operational data to support decision-making and performance monitoring.
- Providing support for additional projects as required, including data to support planning for future growth.
- Validate data accuracy by identifying gaps, inconsistencies, redundancies, and errors across source systems.
- Troubleshoot and document data, process, and system-related issues in coordination with technology and operations teams.
- Convert complex datasets into clear, concise, and business-friendly insights.
- Develop and deliver standard and ad hoc reports, dashboards, and visualizations for executives, managers, and operational teams.
- 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.
- Apply statistical and analytical techniques to evaluate business performance, operational events, and system behavior.
Requirements
excel
power bi
sql
ai/ml
bachelor’s
3-4 years
Bachelor’s degree in business, management, economics, accounting, finance, information system or significant progress towards a degree.
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions. While performing the duties of this job, the employee is regularly required to use hands and reach with hands and arms, hear, and talk. The employee will be working and navigating on a computer. The employee occasionally is required to stand, sit, stoop, kneel, crouch, and walk. The employee may occasionally be required to lift and/or move up to 20 pounds. The work environment is usually moderate to loud.
- Good troubleshooting and error isolation skills.
- Advanced knowledge of Excel, Power BI, and SQL
- Exercises logic and reasoning to define problems, establish facts and draw valid conclusions
- 3 - 4 years in data analysis, research, compilation, and/or report writing and design work experience.
- Ability to work with minimal direction in a fast paced / high-pressure environment.
- Ability to prioritize tasks and directly support the department managers.
- Excellent oral/written communication skills are required, including demonstrated ability to package analytical results into an executive summary and present to senior leadership.
- Experience or exposure to AI/ML and data science techniques (such as predictive analytics, anomaly detection, or pattern recognition) is a plus.
- Intermediate skills of Word and PowerPoint; along with other MS Office products, such as Visio, Access
Benefits
Information not given or found
Training + Development
Information not given or found
