Sales Data & Pricing Analyst

SUMMARY:
One of our clients, based in Boksburg, is seeking a Sales Data & Pricing Analyst

POSITION INFO:
Key Requirements
Qualifications & Experience

• Matric.
• Bachelor’s degree, diploma or higher certificate in Data Analytics, Finance, Engineering, Business, or equivalent (preferred).
• Minimum 3 years’ experience in pricing analysis, data analytics, commercial support, or similar roles.
• Experience within the mining, construction, or heavy-equipment industries advantageous.
• Highly proficient with Microsoft Excel and analytical tools.
• Experience with ERP and CRM systems.
• Strong commercial acumen and understanding of margin principles.
• Analytical mindset with the ability to interpret complex datasets.

• Pricing Strategy Development & Management
• ERP Pricing Administration
• Market Intelligence & Competitive Analysis
• Transfer Prices
• Contract Pricing Management
• Tender & Bid Pricing Support
• Reporting & Commercial Analytics
• Spare Parts Consumption & Stocking Insights
• Repair Spares Stock Level Management
• New Product Pricing Readiness
• Slow-Moving Stock & Fire-Sale Opportunity Identification
• Sales Forecasting & Opportunity Modelling
• Cross-Functional Commercial Support
• Part Number Governance & Technical Data Support

• Implement approved pricing strategies across all product categories and customer segments.
• Ensure pricing aligns with margin targets, commercial objectives, and market conditions.
• Proactively identify areas where margins, pricing structures, or strategies require adjustment.

• Maintain accurate, up-to-date pricing information in the ERP.
• Ensure proper version control and traceability for pricing updates.
• Verify price accuracy and investigate discrepancies with Finance, Inventory, and Sales teams.

• Collect competitor pricing and market intelligence for regular commercial reviews.
• Analyse customer buying patterns to recommend pricing adjustments.
• Maintain an updated market pricing database for management reporting.

• Work closely with the Supply Chain team to gather updated transfer prices or cost inputs for all relevant items.
• Implement the approved sales pricing strategy to establish accurate selling prices aligned with margin targets and commercial guidelines.

• Implement contract price updates as per escalation tables, CCB provisions, or review schedules.
• Ensure price files and contract-specific rates are kept current and audit-ready.
• Support negotiations with pricing scenarios and margin impact analysis.

• Prepare accurate pricing inputs for tenders, RFQs, and bids.
• Conduct margin and cost analysis to ensure commercial viability.
• Maintain a structured record of all tender submissions and outcomes.

• Develop monthly reports on pricing performance, margins, costs, and trends.
• Provide actionable insights to management and sales teams.
• Create ad-hoc analysis to support strategic decision-making.

• Analyse usage patterns and consumption rates for all key categories.
• Recommend SKU levels, ISQs, and adjustments based on trends.
• Identify risks of stock-outs and share insights with the Inventory team.

• Monitor stock levels for critical repair spares.
• Provide min/max level recommendations and urgent replenishment triggers to Inventory.
• Identify risks of stock-outs and share insights with the Inventory team.

• Prepare pricing files and stocking guidance for new machine introductions.
• Develop the pricing for RSL (Recommended Spares List) for customers.
• Support LCC (Lifecycle Cost) calculations for customer proposals.

• Analyse ageing stock and highlight items at risk of obsolescence.
• Propose fire-sale or promotional pricing actions.
• Track performance of implemented campaigns.

• Build and refine forecasting models based on history and new opportunities.
• Support Sales teams with opportunity-based forecasting.
• Report deviations between forecasts and actual results.

• Provide analytical and pricing support to Sales, Inventory, Product Support and Finance teams.
• Assist with commercial queries related to costs, pricing, margins, or trends.
• Ensure information shared across teams is accurate, concise, and up to date.

• Identify duplicate, obsolete, or incorrect part numbers.
• Support roll-out of alternatives and part number clean-up initiatives.
• Ensure ERP data is structured, accurate, and up to date.