#LI-AG1 #LI-Remote
Essential Functions and Primary Duties
Identify, automate, and continuously improve repeatable data processes to enhance efficiency, scalability, and effectiveness
Extract, manipulate, transform, model, visualize, analyze, and summarize accurate, relevant, timely, and cohesive data to support business needs
Execute core data requests, including journal entry testing, data extraction, reconciliations, and other analytical support activities
Create, document, and execute support processes and test procedures to ensure data deliverables are accurate, sustainable, and aligned with business objectives
Perform due diligence on data sources for independence, completeness, and overall data integrity
Serve as a liaison between data and business processes by communicating effectively with internal and external teams and recommending data-driven approaches that support business goals
Contribute to the team’s library of data tools, scripts, and methodologies while collaborating across virtual and cross-functional environments to complete projects and other work outside normal support activities
Manage work queues, keep team members informed of status, and apply sound judgment, initiative, flexibility, and problem-solving skills in prioritizing and executing work
Continuously develop knowledge of data analytics concepts, tools, technologies, and data sources, and proactively seek guidance to strengthen technical and analytical capabilities
Maintain confidentiality regarding the information and data being processed, stored, and accessed by end users
Preferred Qualifications
Bachelor's degree in Accounting, Finance, Information Systems, Data Analytics, Business, or a related field
Experience with SQL, Power BI, Alteryx, Tableau, or similar analytics tools
Experience developing automated workflows and process improvements
Experience in a professional services, consulting, or financial services environment
Knowledge of data governance, data quality, and reporting best practices
Minimum Qualifications
Bachelor's degree and 1–3 years of experience
Experience with data tools (Excel, SQL, Power BI, etc.)
High proficiency in Excel
Understanding of accounting/audit principles
Strong analytical and problem-solving skills
Ability to work in fast-paced environments
Strong prioritization and organization skills
Meet deadlines and SLAs consistently
Exercise independent judgment
Commitment to continuous improvement