Lead Product Analyst

SmartLunch is a leader in organizing meals for employees. They specialize in employer subsidies in the B2B model and manage the entire food provision process for companies. Their innovative solutions improve employee efficiency and well-being by delivering wholesome meals directly to workplaces.

• Minimum 5 years of experience in product or business analytics, preferably in technology, SaaS, B2B2C, or marketplace.
• Very good knowledge of SQL and daily use of Python in analytical work.
• Experience in product and event analytics, cohort, funnel, retention analyses, and A/B testing.
• Ability to combine product and business data and formulate actionable recommendations.
• Experience with dbt and Snowflake or willingness to organize analytics architecture using them.
• Knowledge of analytics and BI tools such as Hex, Amplitude, Mixpanel, Looker, Tableau, HubSpot, and GA4.
• Ability to manage tasks end-to-end from problem and hypothesis to recommended action.
• Confidence in questioning business assumptions and clear communication of data-based conclusions.
• Willingness to impact product, decision-making, and the Data area.

Nice to have:

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

Product analysis (approximately 70% of time):

• Analyze user behavior and B2B2C funnels from CRM client acquisition to employee retention in the app.
• Study conversion, retention, orders, bottlenecks, and validate product hypotheses.
• Combine product and event data with CRM, financial, and logistics data.
• Define KPIs and success metrics and translate data into business and product recommendations.
• Present conclusions to the Head of Product and C-Level executives.

Data area development (approximately 30% of time):

• Organize the data ecosystem and build architecture based on Snowflake and dbt.
• Establish standards for event tracking, data quality, and Data Governance.
• Create analytics roadmap and prioritize tasks.
• Eventually recruit, mentor, and develop a 3-4 person Data team.