Airswift is looking for Sales Data Analyst to support one of our clients in Houston for a 6-month contract position.
SUMMARY
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.
DUTIES AND RESPONSBILITIES
May include, but are not limited to, the following:
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.
EDUCATION, EXPERIENCE, AND QUALIFICATIONS
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.
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