5 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄
Marketing Analyst (Revenue Quality AI)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
Marketing Analyst (Revenue Quality AI) (AI, machine learning, and revenue analytics): Building data-driven solutions, reporting, scorecards, alerts, and AI-supported tools to improve revenue quality across Europe with an accent on customer, shipment, and commercial data analysis. Focus on designing AI agents and workflows, connecting large datasets, deploying analytical models, and translating findings into measurable business actions.
Location: Onsite in Krakow, Poland or LeΓ§a do Balio, Portugal
Company
is a global express transportation company serving more than 220 countries and territories.
What you will do
- Analyze customer, shipment, and commercial datasets to identify revenue quality opportunities, behavior patterns, compliance risks, leakage, and inefficiencies.
- Translate analytical findings into prioritized recommendations, next steps, and measurable success criteria.
- Build and improve AI-supported tools, analytical products, automation, scorecards, alerts, and reporting for scalable Revenue Quality Management execution.
- Locate, extract, connect, and validate data from multiple sources while documenting definitions and improving data reliability.
- Collaborate with Sales, Operations, Pricing, Finance/Analytics, and Engineering/Reporting partners.
- Refine metrics, validate assumptions, and monitor outcomes to support measurable revenue quality improvements.
Requirements
- Hands-on experience applying artificial intelligence in real-world projects, including machine learning, generative AI, predictive analytics, or automation, with measurable business impact.
- Ability to design, build, and deploy AI agents or AI-driven workflows.
- Understanding of statistical and machine learning fundamentals, including regression, classification, feature engineering, model validation, and overfitting.
- Knowledge of data pipelines, ETL/ELT, data modeling, large-scale datasets, model deployment, monitoring, and lifecycle management.
- Experience with SQL, Databricks or an equivalent platform, Power BI, cloud-based analytics environments, and Gemini or ChatGPT.
- Availability to work onsite in Krakow, Poland or LeΓ§a do Balio, Portugal.
Nice to have
- Python or similar scripting experience for analysis and automation.
- Background in pricing, revenue management, finance, operations analytics, sales operations, customer insights, or commercial insights.
Culture & Benefits
- Full-time regular position with a 40-hour work week.
- Attractive compensation package and employee reduced-rate shipping.
- Training, on-the-job learning, extensive learning resources, and career development opportunities.
- Tuition Assistance Program for positions with a permanent contract.
- Employee Assistance Program for employees and their families.
- People-first, diverse, equitable, and inclusive work environment.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β