Business Professional Business Analyst 3

Pay rate range- $50/hr - $53/hr.
Schedule: Fully onsite

Description:
Top skills:
1. owning data workflows
2. building and maintaining sales dashboards
3. contributing to forecasting and planning processes

KEY RESPONSIBILITES/REQUIREMENTS:
Key Responsibilities:
Sales Dashboards & Reporting
Build maintain and enhance sales dashboards that track performance against key KPIs across Channel and Digital business units.
Deliver regular reporting on revenue trends forecast vs. actuals and sales program performance for leadership and operational reviews.
Support strategy deck preparation and executive-level presentations with clean insight-driven data narratives.

Data Aggregation & Revenue Operations
Aggregate and consolidate revenue data across multiple channels and business units into unified reliable reporting views.
Track and communicate week-over-week forecast changes and delta trends ensuring timely visibility for stakeholders.
Maintain and improve existing revenue trackers and data pipelines to support retention and accuracy of revenue data.

Forecast Management
Run and support financial simulations to inform supply planning decisions and buffer analysis.
Partner with the Business Intelligence Supply Chain and Revenue Operations teams on planning cycles pipeline simulations and allocation logic.
Cross-Functional Support
Contribute to Annual Target planning preparation quarterly pipeline simulations and HHP buffer planning processes.
Support the Director of Revenue Operations on ad hoc projects stakeholder requests and operational deliverables as needed.

Qualifications:
Required:
25 years of experience in a data analytics or revenue operations role
Advanced proficiency in Microsoft Excel including financial modeling pivot tables and large-scale data manipulation
Strong understanding of data relationships data structures and how to work with complex multi-source datasets
Experience building and maintaining dashboards and visualizations (Excel Power BI Tableau or equivalent)
Solid grasp of sales revenue structure ability to read and work with revenue breakdowns from gross sales down to net revenue with an understanding of how deductions and adjustments flow through the P&L
Ability to run and interpret financial simulations on sales forecasts including scenario modeling and variance analysis
Familiarity with sales programs and trade spend is a plus but not required
Excellent verbal and written communication skills able to translate data into clear narratives for non-technical audiences
Strong PowerPoint skills; comfortable supporting executive-level decks and strategy presentations
Familiarity with AI productivity tools such as Claude ChatGPT or similar comfortable using them to accelerate analysis summarization and reporting workflows

Preferred:
Basic understanding of supply chain management (SCM) concepts and key metrics (e.g. inventory turns demand signals buffer/safety stock); system training provided on the job
Experience working with large datasets in a sales channel or retail environment
Exposure to BI tools or enterprise systems (e.g. SAP Oracle ERP/SCM platforms)
Experience supporting sales planning revenue forecasting or go-to-market operations

Required Experience:

IC