Product Analyst – Growth

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Palta

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2016

🤖 Artificial Intelligence

👥 B2C

🧘 Wellness

💰 $100M Series B - Palta on 2021-08

Artificial Intelligence • B2C • Wellness

Palta is a global holding company and portfolio of preventative digital health and wellness brands that build consumer-facing mobile apps and AI-powered virtual coaches. The group develops and operates large-scale B2C health and wellness products — including women's health, AI weight-management coaching, fitness coaching, and AI-driven skincare — with a focus on preventative care and personalized guidance. Palta emphasizes deep tech and data-driven solutions to make preventative healthcare and wellness accessible at scale.

📋 Description

• Assist in evaluating experiments and interpreting results to optimize product initiatives; • Participate in evaluating pricing experiments and interpreting results to inform product and marketing strategies; • Work on improving the existing LTV forecasting model and develop additional predictive models as needed; • Build reports and dashboards to provide visibility into product trends and opportunities; • Identify and explore potential growth levers based on data-driven insights;

🎯 Requirements

• Advanced SQL skills – ability to write complex queries using joins, window functions, CTEs, and aggregations; optimize query performance for large datasets; • Experience working with ETL pipelines and building data workflows (Airflow, dbt, or similar); understanding how to ensure data quality, reliability, and timely delivery. • Basic Python for data analysis and automation; • Experience with any BI tool (Looker, Superset, Tableau, Power BI, or similar); • Understanding of fundamental statistics, A/B tests, and experimentation concepts (proper test design, power calculation, post-hoc analysis, etc.) • Ability to structure and interpret data, ensuring accuracy and meaningful insights; • Strong communication skills to collaborate effectively with product, marketing, and other teams; • A proactive mindset—someone who enjoys diving into data, identifying trends, and proposing opportunities for growth. • Nice to have: Experience working as a product or data analyst specifically in a subscription-based service (SaaS, mobile subscriptions, OTT, etc.); • Experience running pricing A/B experiments.

🏖️ Benefits

• Competitive salary package commensurate with experience • Remote, in-office, and hybrid work opportunities • The equipment you need to do your job • A premium SIMPLE subscription • 21 days annual leave, plus bank holidays (those observed where you live) • Flexible hours.