Analytics Engineer

Описание

You will join the Data Team at Ledger, responsible for turning data into actionable insights and recommendations for consumer sales and marketing operations across all channels.

Обязанности

• Own consumer sales analytics end to end: Ledger.com, Amazon, wholesale and resellers, from sell-in to sell-out, with one consistent view of revenue, units and margin
• Measure the true incremental impact of pricing, promotions and marketing campaigns with rigorous causal methods and experiments, and turn the results into budget recommendations for the Growth team
• Develop and improve data models (dbt/Snowflake) across varied data sources (sales, sell-out, marketing, web analytics) with the support of the data engineering team; co-own data quality alerting
• Own performance marketing measurement (attribution, ROAS, CAC), reconciling ad platforms, GA4 and internal sales data into a single source of truth
• Build and maintain Tableau dashboards that give business teams a clear, reliable view of their performance
• Model customer value (LTV, repurchase behavior, services attach) and feed it back into marketing ROI decisions
• Work as part of an AI-augmented team: use LLM-based workflows and AI agents daily to automate analyses and accelerate delivery
• Create and deliver presentations that turn complex analyses into clear recommendations for stakeholders up to ExCom level

Требования

• Strong SQL and dbt skills (Snowflake)
• Python for analysis and statistics; experience with causal inference methods is a strong plus
• Strong Tableau skills
• Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads), affiliation networks
• 3-4 years of experience in data analytics/analytics engineering
• Data driven and business oriented; able to challenge stakeholders' methodology
• Excellent organizational skills, fluent in English
• Proven hands-on data science experience applied to business decisions: you have run causal inference studies (CausalImpact, difference-in-differences, synthetic control, geo-experiments) and/or built predictive models (LTV, repurchase, propensity) whose results changed a budget or pricing decision
• Strong statistical rigor: comfortable with experiment design, confidence intervals and power, and able to clearly say when a result shows no detectable effect
• 2 to 4 years of experience in data analytics, analytics engineering or data science

Будет плюсом

• dbt skills are a plus
• Tableau skills are a strong plus
• Familiarity with marketing/web analytics data: GA4, ad platforms (Google Ads, Amazon Ads), affiliation networks are a strong plus

Условия

• Flexible work options - Our hybrid policy allows employees to work from home up to 3 times per week
• Health & Wellness support - Health and Life Insurance
• Financial growth opportunities - Employees can become shareholders in Ledger as well as other financial benefits depending on your country of work
• Commuter allowance - Ledger offers a commuter allowance to contribute to your preferred means of transportation
• Learning & Development - A comprehensive suite of training solutions providing a personalised learning experience for every employee