Hybrid Pricing and Offer Analyst – Mid-level

Posted last month

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About the role

  • Data Analyst developing automated databases and pricing models for the energy sector. Collaborating with sales and other departments to align pricing strategies and insights.

Responsibilities

  • Develop databases and automated reports to support the area’s demands (cockpit; BI), with a focus on reliability, uniformity and standardization of business KPIs.
  • Interpret data and proactively generate insights to support the company’s strategic direction.
  • Develop pricing models based on costs, competition and perceived value, enabling simulations and impact analyses.
  • Manage workflows for the implementation of prices, discounts and deferred payments efficiently, and track processes to make course adjustments when necessary.
  • Evaluate market behaviors regarding consumption and price sensitivity, and apply dynamic pricing using clustered market segmentation to ensure flexibility across different customer profiles with targeted sales mechanisms while maintaining fairness between profiles.
  • Aggregate, curate and summarize relevant market news combined with pricing analysis to generate insights and guidance for the commercial team.
  • Map market prices and cost dynamics.
  • Collaborate with other departments within the directorate to ensure offers are properly positioned.
  • Promote continuous improvement in pricing and offering processes by identifying and implementing best practices.
  • Collaborate with the sales team by providing data and insights that support strategic decision-making and contribute to the development and execution of commercial plans.

Requirements

  • Bachelor’s degree (preferably in Marketing, Business Administration, Accounting, Economics or related fields).
  • Preferred: Advanced knowledge of Excel, Word and PowerPoint, and ERPs used in the area.
  • Strong data analysis skills.
  • Knowledge of the gas and energy market.
  • Understanding of oil pricing processes and other energy commodities.
  • Knowledge of statistics and analytical methodologies (e.g., predictive analysis).
  • Experience with Power BI, SQL, Power Query and commercial management support software such as Salesforce.

Benefits

  • Medical insurance
  • Dental insurance
  • Pharmacy assistance
  • Vision care benefit
  • Life insurance
  • Meal and grocery allowance
  • Extended maternity leave (180 days)
  • Paternity leave (20 days)
  • Childcare assistance
  • School supplies allowance
  • Lactation room at our Operations Center
  • Profit-sharing
  • Private pension plan
  • Education assistance

Job title

Pricing and Offer Analyst – Mid-level

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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