Lead Product Analyst

SmartLunch is a platform providing access to tasty and healthy meals for employees, facilitating companies in caring for people both professionally and daily. The company operates in Wrocław with a hybrid work model.

• Minimum 5 years of experience in product or business analytics, preferably in a technology, SaaS, B2B2C, or Marketplace company.
• Proficient in SQL and daily use of Python for analytical work.
• Practical experience in product and event analytics, including cohort analysis, funnels, retention, and A/B testing.
• Ability to combine product data with business data and draw actionable conclusions.
• Experience with dbt and Snowflake or openness to organizing analytical architecture using these tools.
• Knowledge of analytical and BI tools such as Hex, Amplitude, Mixpanel, Looker, or Tableau, and understanding data from tools like HubSpot and GA4.
• Capability to manage end-to-end projects, from defining problems and hypotheses to recommending actions.
• Confidence to challenge business and communicate data-driven conclusions and recommendations clearly.
• Desire to have a real impact on product development, decision-making, and the Data area within the organization.

Nice to have:

• Experience building data architecture from scratch.
• Experience in recruiting, mentoring, or managing a small analytical team.

Analiza produktowa:

• Analyzing user behaviors and the entire B2B2C funnel from client acquisition in CRM to employee retention in the application.
• Analyzing conversion, retention, orders, bottlenecks, and formulating and verifying product hypotheses.
• Combining product and event data with business data, including CRM, finance, and logistics.
• Defining KPIs and success metrics for new features and translating data into business and product recommendations.
• Presenting conclusions and recommendations to the Head of Product and C-Level.

Budowa i organizacja obszaru Data:

• Organizing the current data ecosystem and building architecture based on Snowflake and dbt.
• Setting standards for event tracking, data quality, and Data Governance.
• Creating an analytics roadmap and prioritizing tasks.
• Recruiting, mentoring, and building a 3-4 person Data team.