Analytics Engineer
Ledger helps you keep your digital assets safe using certified hardware wallets and management software that protect against online threats.
Funding history
Projects
About Ledger
Ledger provides secure storage and management for digital assets through certified hardware wallets and software. The hardware wallets store private keys offline to protect against hacks and malware, while Ledger Live software lets users buy, sell, and manage multiple cryptocurrencies. Institutions can use Ledger Enterprise for secure custody and governance. All products support major blockchains and Web3 applications with regular security updates.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own analytics for consumer sales across e-commerce, marketplaces, wholesale, and reseller channels. You will develop dbt and Snowflake data models, monitor data quality, build Tableau dashboards, and reconcile revenue, units, and margin data. You will measure marketing-channel performance and campaign impact, model customer value, contribute to data integrations, use AI-enabled analytics workflows, and present clear recommendations to senior stakeholders.
Requirements
- Strong SQL and dbt skills with Snowflake
- Python for analysis and statistics
- Strong Tableau skills
- Familiarity with marketing and web analytics data, including GA4, Google Ads, Amazon Ads, and affiliation networks
- 3–4 years of experience in data analytics or analytics engineering
- Ability to challenge stakeholder methodology
- Excellent organizational skills
- Fluent English
Responsibilities
- Own analytics across consumer sales channels, including e-commerce, marketplaces, wholesale, and resellers
- Develop and improve dbt and Snowflake data models across sales, marketing, and web analytics sources
- Co-own data-quality alerting for SKUs, refunds, and sales anomalies
- Build and maintain Tableau dashboards for business stakeholders
- Measure marketing-channel performance, attribution, ROAS, and CAC across analytics and advertising platforms
- Measure pricing, promotional, and marketing campaign impact using causal-inference methods
- Model customer lifetime value, repurchase behavior, and service attachment
- Contribute to cross-functional data projects and new data-source integrations
- Use AI tooling and LLM-based workflows to scale analytics delivery
- Create and deliver presentations with recommendations for senior stakeholders
Benefits
- Work from home up to 3 times per week under the hybrid policy
- Health and life insurance
- Employee shareholder opportunity
- Commuter allowance