Pricing Intelligence & Data Analytics Lead - AI&Automation

Polpharma

Warszawa

Hybrid

PLN 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

Hybrid working model

Private medical care

Life insurance

Multisport card

Lunch card PLN 400 per month

Occasional bonus

Modern benefits platform

One additional day off

Employee Pension Program (PPE)

Job summary

Polpharma is seeking a data analytics professional to lead Pricing Intelligence initiatives and drive AI-enabled decision-making across international markets. You will develop pricing analytics, monitor data quality, and automate BI processes using tools like Power BI and Fabric.

The role offers hybrid work, professional development, and a stable employment contract within a dynamic pharmaceutical environment.

Qualifications

Minimum 3 years of experience in Data Analytics, BI or related area.
Advanced skills in data integration, modelling, analysis and visualization using Excel, Power Query, Power BI, Microsoft Fabric and SQL.
Ability to transform unstructured data into scalable analytical and AI-enabled solutions supporting business decisions.
Hands-on experience applying Generative AI and AI-powered analytics to support processes and decisions.
Experience identifying opportunities for automation and digital transformation.
Very good command of English.

Responsibilities

Develop Pricing Intelligence solutions supporting price monitoring, scenario modelling and business decision-making across international markets.
Integrate, model and transform data from multiple sources into scalable analytical solutions and business tools.
Automate reporting, analytics and data management processes using digital technologies and AI tools (e.g. Microsoft Copilot, ChatGPT, Power Automate AI, AI-assisted Power BI solutions).
Design and develop dashboards, applications and self-service analytics tools supporting pricing insights and risk management (Power BI, Power Apps, Fabric).
Monitor data quality, identify trends and risks, and leverage AI solutions to generate business insights and support decision-making.
Identify and implement opportunities for digital transformation, process optimization and adoption of AI-driven solutions within the Pricing function.