Business Analyst 3

Top skills:

1. Owning data workflows
2. Building and maintaining sales dashboards
3. Contributing to forecasting and planning processes

Schedule: Fully onsite

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:

• 2–5 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