Serve up impactful data-backed recommendations with a focus on predictive modeling and statistical analysis to drive strategic decisions and business growth.
Identify relevant data sources, validate/reconcile data, and build concise and future-proof models designed for adaptability and scalability.
Investigate data discrepancies and outdated manual processes; build automation using machine learning and data pipelines to ensure smooth operations.
Analyze merchant churn: determine root causes, employ advanced segmentation and predictive analytics to improve retention.
Partner with customer support to link past interactions and product usage to retention and upsell outcomes (understand causality).
Collaborate with Finance, Operations, Sales, and Product teams to maintain reliable data infrastructure and contribute to data science initiatives.
Requirements
5 years of experience in data science, business analytics, payments, finance, statistics, or a related field.
Willing to come into our Kraków office 2-3 times per week.
Strong SQL skills (ability to write complex queries to extract insights).
Experience with BI tools.
Proficiency in programming languages like Python or R.
Operating with a bias toward sharing, transparency and collaboration.
Ability to dive in, solve problems, and get things done without waiting for perfect conditions.
Thriving in fast-paced environments and embracing ambiguity.
Experience in accounting, finance, or SaaS (preferred).
Flexibility with working hours, ideally availability from 1 PM to 9 PM (preferred).
Benefits
Competitive pay: 11000 - 15500 PLN gross on CoE.
Training budget 3500 PLN gross per year.
Access to e-learning platforms (O’Reilly).
Fully paid private healthcare in LuxMed.
Access to the Worksmile platform with a monthly top-up.
Subsidized access to breakfast and lunch through vending machine in Kraków office; lunches in Gdańsk office once a week.
Group English classes with a native speaker.
Dell Latitude and whatever tools you need.
New, modern, bright and comfortable office space in the city centre.
Senior Analyst in Data Analytics at Royal Caribbean Group responsible for revenue management systems. Collaborating with various teams to enhance business strategies and analytical reporting.
Data Analyst Intern mining and analyzing data for Global Services stakeholders. Enabling data driven decisions and translating insights into actionable strategies.
AI Predictive Analytics Manager driving strategy and delivering impactful results in DoD network modernization. Leading automation and AI initiatives within the Global Solutions Management - Operations II contract.
Data Analyst responsible for data capturing and online marketing analytics at Löwenstark. Collaborating across teams, interpreting data to optimize performance and drive innovations in the field.
Experienced employee responsible for EDI processes with customers and suppliers. Analyzing and preparing data in SAP S/4 HANA environment with primary focus on integration.
Data Analytics & AI Intern at HF Sinclair collaborating on analytics and AI for business innovations. Supporting tasks involving data collection, analysis, and project management.
I&A Manager for Reckitt, leading Consumer Engagement and Business Insights through analytics. Collaborating with internal teams to enhance competitive advantage and actionable strategies.
Data Analyst for SOMOS Educação developing data models and insights for decision - making. Collaborating team efforts to enhance processes using Power BI and SQL analysis.
Consultant Data Analyst managing data transformation projects for various clients. Involved in needs analysis, solution design, and user support for dashboard creation.
Data Analyst & Scientist driving data strategy for business outcomes in a dynamic data team. Contributing to data - driven decision - making and enhancing business intelligence capabilities.