Business Strategy and Planning

• Lead enrichment and classification of economics datasets using statistical methods, business rules, and AI, including evaluating global websites as data sources
• Own daily index monitoring, data-quality controls, exception management, and publication readiness for inflation and FX datasets
• Analyze inflation and FX trends across countries and sectors to identify data requirements, market implications, and product opportunities
• Drive development of purchasing power parity (PPP) products with the Boston-based Economics team using item-level pricing data
• Lead automation of manual processes, strengthen controls, and improve end-to-end workflow efficiency and resilience
• Communicate complex technical and macro concepts clearly to internal stakeholders and clients
• Oversee junior team members: allocate work, set priorities, review output, provide coaching and feedback
• Manage multiple workstreams and stakeholders, ensuring risks, dependencies, and timelines are addressed
• Working hours between 9am-5pm, with a minimum of three days per week working from the office in Krakow
• The role is part of State Street PriceStats, the global leader in daily inflation analytics, within State Street Data Intelligence (SSDI)

Key requirements:

• Strong knowledge of economic and statistical concepts, especially inflation and FX: exchange-rate movements, relative price levels, pass-through, and purchasing power parity
• Experience with structured, unstructured, and web-scraped data: classification, enrichment, validation, and quality assessment
• Proactive, collaborative mindset; ownership from problem definition to delivery
• Clear, precise communication tailored to different audiences
• Ability to coach and support junior team members
• Ability to manage priorities and deliver high-quality work within agreed timelines
• Bachelor's degree in economics, finance, statistics, mathematics, computer science, data science, or a related quantitative field

Preferred qualifications:

• Experience curating and enriching inflation and FX data, monitoring price-data quality across country sources, managing exceptions, and evaluating external data sources for relevance, coverage, and reliability
• Exposure to data pipelines, automated quality controls, classification models, or AI/ML is beneficial
• Experience with Python, SQL, STATA, MATLAB, or similar analytical tools is helpful
• Good communication and English language skills, both written and verbal