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Airswift is looking for Sales Data Analyst to support one of our clients in Houston for a 6-month contract position. This role focuses on transforming, optimizing, and scaling commercial sales data into actionable insights. The Data Analyst II will collaborate across the business to deliver reporting solutions that drive pricing, margin expansion, and overall business performance.
Job Responsibility
Analyze current commercial and pricing workflows to identify manual gaps ripe for automation
Design, build, and deploy automated dashboards and interactive reports to visualize key commercial metrics, including product, customer, and regional performance
Integrate multiple data sources to eliminate silos and streamline report generation
Serve as the primary gatekeeper for the commercial data engine by actively auditing, cleaning, and maintaining Customer and Material Master Data records in SAP S/4 HANA
Validate customer and sales hierarchies to eliminate discrepancies in sales order processing, billing, rebates, and commissions
Partner with IT and Master Data teams to troubleshoot structural data gaps or product catalog updates that impact commercial profitability reports
Generate regular and ad-hoc reporting packages by extracting raw transactional data and compiling into stakeholder-ready tools
Collaborate daily with Sales, Finance, IT and Pricing Leadership to ensure absolute data alignment between system master data records and actual reporting metrics
Translate highly technical data architectures into practical, easily understood reporting for business decision-makers
Requirements
Bachelor's Degree in Finance, Data Analytics, Information Technology, Business Administration, or related field
3-5+ years of experience in dashboard development, commercial data operations, or data management, preferably in manufacturing
Preferred experience in multi-site or global organization
Experience supporting commercial or business leadership teams
Strong hands-on experience navigating SAP ERP software, preferably with S/4 HANA
Advanced Excel skills, as well as Power BI proficiency
Understanding of standard business and financial KPIs like gross margin, SKU profitability, and volume-based performance milestones