Product Analyst

TL;DR

Product Analyst: Shaping product decisions for a successful mobile health and well-being product through data-driven insights and rigorous experimentation, with an accent on evaluating feature impact and enhancing user experience. Focus on owning the full experimentation cycle, from hypothesis generation to statistical analysis and business impact assessment, to drive sustainable growth and improve health outcomes.

Location: Fully Remote, with options for in-office or hybrid work.

Company

SIMPLE is a successful mobile product with over 15 million unique downloads, offering judgment-free guidance toward balanced nutrition, a healthy relationship with food, and improved health and well-being, as part of Palta, a health & well-being technology company.

What you will do

• Partner with product and engineering teams to generate, structure, and validate hypotheses aimed at driving growth and improving user retention.
• Lead the full A/B testing lifecycle: define success metrics, design experiments, ensure statistical rigor, analyze results, and translate findings into clear business recommendations.
• Analyze user behavior to identify opportunities for improving LTV, ARPU, and reducing churn.
• Define, track, and evolve core product and growth metrics aligned with company objectives.
• Develop dashboards and self-service analytics tools to empower data-driven decision-making across teams.
• Translate complex data into clear, actionable insights that directly influence product strategy and roadmap decisions.

Requirements

• Strong proficiency in SQL (e.g., Snowflake, Postgres), including use of window functions, CTEs, and efficient query writing.
• Experience with data visualization tools such as Looker and Superset.
• Proficiency in at least one scripting language commonly used in analytics (e.g., Python, R).
• Strong experience designing, running, and analyzing A/B tests, including power calculations, experiment setup, validation, and interpretation of results.
• Solid understanding of experimentation methodologies, causal inference, and statistical modeling.
• Deep understanding of product and monetization metrics such as LTV, ARPU, retention, churn, conversion, and cohort analysis.
• Strong product thinking: ability to evaluate hypotheses, assess trade-offs, connect metrics to user behavior, and prioritize initiatives based on impact.
• Experience designing and implementing reliable event tracking systems to ensure data quality and experiment integrity.
• Excellent communication skills, with the ability to clearly present insights and recommendations to both technical and non-technical stakeholders.

Culture & Benefits

• Competitive salary package commensurate with experience.
• Remote, in-office, and hybrid work opportunities.
• Equipment needed to do your job.
• Premium SIMPLE subscription.
• 21 days annual leave, plus bank holidays (observed where you live).
• Flexible hours focused on results.
• Values-driven culture emphasizing deep thinking, impact, ownership, pushing limits, and championship teamwork.