Develop and manage pricing models for Distributed Generation (DG) products and the Free Energy Market
Define discount policies by segment, channel, region, and customer profile
Monitor margins, payback period, CAC, LTV, and profitability metrics
Build price elasticity and discount sensitivity analyses
Support negotiations with key accounts, the public sector, and strategic partners
Ensure alignment between commercial strategy and company margin objectives
Continuously monitor competitor activity, distributors, energy retailers/traders, and generators
Map regulatory trends and their impact on prices, products, and competitiveness
Produce market share analyses, market potential assessments, and regional attractiveness studies
Identify opportunities for geographic expansion and new customer segments
Build benchmarks for price, discount, churn, conversion, and commercial performance
Develop executive dashboards to track commercial KPIs
Analyze performance by channel: Inbound, Partnerships, Community/Referral (MGM), Regional Sales Executives, and Key Accounts
Assess pricing impacts on conversion, CAC, churn, revenue, and asset utilization
Generate recommendations to optimize channel mix and reduce CAC
Support Budgeting, Forecasting, and Long Range Planning
Build growth scenarios considering available energy capacity, occupancy/usage curves, competition, and regulatory evolution
Prepare materials for Executive Committees, the Board, and Investors

Degree in Business Administration, Economics, Engineering, Statistics, Mathematics, or related fields
Experience in Pricing, Revenue Management, Market Intelligence, Commercial FP&A, or Analytics
Experience in sectors such as Energy, Utilities, Telecom, Fintech, Retail, and SaaS
Knowledge of the Brazilian energy market (preferred)
Knowledge of Distributed Generation (DG), the Free Energy Market, energy commercialization, and ANEEL regulation (preferred)
Experience with financial modeling and business cases (preferred)
Advanced Excel
Power BI or Tableau
SQL
Financial modeling
Forecasting
Building business cases
Applied statistics
Data analysis and executive-level visualization
Knowledge of Python and CRM tools (Salesforce, HubSpot, Dynamics) is desirable

Senior Product Analyst

Key skills