<p><strong>Data Pipeline Development & Integration</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul><p><strong>Data Warehousing & Architecture</strong></p><ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul><p><strong>Data Quality & Governance</strong></p><ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul><p><strong>Cloud Engineering & Automation</strong></p><ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul><p><strong>Analytics & AI Support</strong></p><ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul><p><br></p><p><br></p>
We are looking for a Compensation Analyst to support incentive and commission payment operations for our team in Memphis, Tennessee. This role focuses on ensuring compensation data is accurate, calculations are completed correctly, and payments are prepared in a timely manner for payroll processing. The ideal candidate is analytical, detail-oriented, and comfortable working across multiple systems and business groups to resolve issues and improve compensation processes.<br><br>Responsibilities:<br>• Manage recurring commission and incentive payment cycles by validating input data, running calculations, reconciling results, and preparing files for payroll submission.<br>• Interpret compensation plans and payout rules to determine proper handling of transactions, exceptions, and employee payment outcomes.<br>• Maintain critical compensation records such as participant eligibility, plan assignments, rates, targets, thresholds, and reporting relationships.<br>• Review information from sales, payroll, ticketing, and related systems to identify incomplete, inconsistent, or inaccurate data that may affect payments.<br>• Conduct pre-payment and post-payment audits, reconciliations, and quality checks to confirm results are accurate, approved, and payroll-ready.<br>• Investigate discrepancies, unusual results, and employee questions by identifying root causes and determining appropriate corrective action.<br>• Process approved payment updates, including adjustments, reversals, and corrections, while preserving supporting documentation for audit purposes.<br>• Partner with internal stakeholders to resolve data, system, calculation, and payment issues, and contribute to enhancements, testing, and process improvement efforts.<br>• Track recurring issues, control weaknesses, and data-quality concerns, then recommend solutions that strengthen accuracy and operational effectiveness.<br>• Organize procedures, approvals, reconciliation materials, and case records to maintain a clear and complete audit trail.