Commercial & Revenue Intelligence Analyst at TLC Worldwide connecting data to business outcomes and supporting leaders with actionable insights across various departments.
About the role
- Senior Market Intelligence Analyst at Motiva, enhancing air travel market strategies through data-driven insights. Collaborating on analytical projects and supporting commercial planning for the mobility sector.
Responsibilities
- Elevate the quality and speed of analytical responses to support negotiation cycles with airlines, internal feasibility studies, and logistics operators.
- Support the Commercial Planning area in structuring economic feasibility projects related to the revenue streams managed by the area.
- Integrate multiple datasets (SIROS, SISCOMEX, OAG, SABRE, ANAC, etc.) into data processing and visualization workflows, ensuring data accuracy and governance.
- Support route and capacity expansion with robust business cases (scenarios, sensitivity analyses, risks). Increase predictability of results in Incentive Programs through models for demand estimation, revenue (yield), and market share.
- Monitor supply, demand, competitive strategy, and the behavior of the air travel and airport markets.
- Consolidate and process data from SIROS, OAG, SABRE, ANAC, IBGE, and other sources, with technical documentation of routines.
- Produce executive dashboards (Power BI/Excel) and materials for meetings with airlines, operators, trade organizations, and public agencies.
- Build and update market studies and business cases with quantitative analyses (modeling, scenarios) and qualitative assessments (trends, risks).
- Track KPIs: supply, demand, load factor, market share, estimated yield, competitors; propose improvement actions.
- Measure results of Incentive Programs and suggest adjustments to allocation and eligibility.
- Analyze seasonality and macro-trends (holidays, events, exchange rates, ICMS/QAV) and propose future scenarios.
- Support interactions with airlines, logistics companies, and stakeholders with data, studies, and simulations.
- Stay updated on regulation (slots, ICMS/QAV, incentives) and support impact analyses.
- Support the commercial specialists for passenger and cargo aviation business in client meetings, when necessary.
- Incorporate AI into daily work to optimize material production and support the development of agents that increase efficiency for the area.
Requirements
- Bachelor's degree in Engineering, Statistics, Economics, Finance, Mathematics, Data Science/Data Engineering
- Advanced knowledge of Power BI (data modeling, DAX, and Power Query) and Microsoft Office (focus on PowerPoint for executive storytelling)
- Experience in data analysis, data cleaning and consolidation, documenting assumptions, and developing business cases
- Knowledge of corporate finance and economic-financial project evaluation (VPL/NPV, TIR/IRR, payback, sensitivity analysis) applied to demand projection and project economic viability.
- Specialization in Data Analytics, Aviation, Network/Route Planning, Air Cargo Logistics, or related fields
- Knowledge of the aviation, logistics, airports, and cargo sectors; familiarity with SIROS, OAG, SABRE, ANAC, IBGE
- Data/modeling skills: SQL/Python; basic knowledge of network planning and airline marketing.
Benefits
- Medical and hospital insurance
- Dental coverage
- Life insurance
- Meal or food allowance
- Transportation voucher or on-site parking
- Private pension plan
- Extended leave: 180 days maternity and 20 days paternity
- Childcare assistance
- Wellhub (Gympass)
- Birthday day off
- Profit-sharing (PLR)
- Flexible working hours policy, and much more!
Job title
Job type
Experience level
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Degree requirement
Tech skills
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