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описание
HelloTech is HelloFresh’s global technology organization, with more than 1,000 people building digital products and shared platforms for HelloFresh’s subscription-based, direct-to-consumer food businesses. Its products support meal kits, ready-to-eat meals, and specialty offerings, serving millions of customers each month.
задачи
Partner with senior product, software engineering, and UX leaders to support strategic priorities and evidence-based decision-making
Collaborate with cross-functional teams to gather requirements, define project objectives, and plan and execute data-driven work
Design, implement, and analyze A/B tests and experiments to measure feature impact and optimize user experiences
Develop automated reporting and dashboards that enable data access and self-service analytics
Build analytics solutions, define KPI trees and measurement frameworks, and track app and web performance to identify improvement opportunities
Use AI and automation tools to improve data analysis, reporting, and insight generation
Communicate complex data and statistical concepts to technical and non-technical stakeholders to inform strategic decisions
требования
Bachelor’s degree or equivalent in business, computer science, mathematics, economics, statistics, engineering, or another relevant quantitative field
Expert-level proficiency with Google Analytics 4 (GA4) or Snowplow, including advanced configuration and custom event tracking
Experience with Mixpanel or Amplitude
Advanced BigQuery skills, including complex SQL queries, query optimization, data modeling, and large-scale datasets
Advanced Python skills for data analysis, automation, and analytical tools, including pandas and numpy
Strong Excel skills, including advanced formulas, pivot tables, and data visualization
Demonstrated experience using AI tools such as ChatGPT, Claude, or Copilot to improve productivity in analytical work
Experience with Tableau, Looker, or Data Studio
Deep understanding of product analytics methodology, cookie and event tracking, user behavior analysis, and experimentation design
Proficiency in descriptive and inferential statistics
At least 5 years of experience analyzing complex data in a business context, including at least 3 years focused on product or web/app analytics
Proven ability to work independently and drive projects from ambiguous problem statements to actionable recommendations
Будет плюсом: dbt, Airflow, or other modern data stack tools; experience providing services to fast-paced product-led or consumer-facing technology companies
условия
Access to the Warsaw Centre Point workspace, with showers, breakout zones, outdoor space, cycle parking, coffee, soft drinks, and fruit
Collaborate with international teams and experienced engineering and product partners in a culture of active knowledge sharing
Build and operate modern systems at global scale, supporting more than 6 million customers and complex supply chain operations
Drive technical, product, and design best practices and influence architecture, design, quality, and ways of working in an autonomous, product-led environment
Drive decisions from problem definition to production, improving systems and supporting long-term scalability