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2 results for Data Analyst in Old Hickory, AR
- Little Rock, AR
- onsite
- Permanent / Full Time
- 70000.00 - 100000.00 USD / Yearly
- <p>We are looking for a Financial Analyst to support data-driven decision-making through insightful reporting, forecasting, and business analysis. This role is based in Little Rock, Arkansas, and will focus on evaluating financial performance, identifying trends, and delivering clear recommendations to stakeholders. The ideal candidate brings strong modeling skills, attention to detail, and the ability to turn complex data into practical business guidance.</p><p><br></p><p><strong>The salary range is $70,000 – $100,000 (DOE)!</strong></p><p><br></p><p><strong>This company also offers an opportunity for long-term career GROWTH, incredible benefits including strong PTO plan, fantastic health insurance benefits, and a 401k match!</strong></p><p><br></p><p><strong>Please reach out to Austen Zemrock on LinkedIn for a direct confidential conversation or email me a Word version of your resume for more information.</strong></p><p><br></p><p>Responsibilities:</p><p>• Develop financial models and scenario analyses to support budgeting, forecasting, and strategic planning efforts.</p><p>• Examine operating results and key metrics to explain variances between actual performance and financial expectations.</p><p>• Perform targeted analyses in response to business questions, providing timely insights for leadership and cross-functional teams.</p><p>• Gather, organize, and interpret large data sets to uncover trends, risks, and opportunities that impact financial outcomes.</p><p>• Prepare recurring and ad hoc reports that summarize findings and communicate recommendations in a clear, business-focused manner.</p><p>• Partner with internal stakeholders to improve financial visibility and support informed operational and investment decisions.</p>
- 2026-06-10T14:43:44Z
- Little Rock, AR
- onsite
- Permanent / Full Time
- 110000.00 - 120000.00 USD / Yearly
- <ul><li>Design, build, and optimize scalable data pipelines for ingesting, processing, and transforming large datasets</li><li>Develop and maintain ETL/ELT workflows from multiple structured and unstructured data sources</li><li>Build data models and optimize data warehouse performance for analytics and reporting</li><li>Ensure data quality, integrity, governance, and security across all data platforms</li><li>Partner with business stakeholders, analysts, data scientists, and application teams to understand data requirements</li><li>Monitor pipeline performance and troubleshoot data-related issues in production environments</li><li>Implement automation for data validation, monitoring, and alerting</li><li>Support cloud-based data infrastructure and architecture improvements</li><li>Create and maintain documentation for data flows, architecture, and processes</li><li>Continuously improve data engineering standards, tools, and best practices</li></ul>
- 2026-07-02T17:30:09Z