Principal Data Analyst (Enterprise Data Solutions)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Principal Data Analyst (Enterprise Data Solutions): Developing and productizing governed, exportable datasets for external clients using marketplace data with an accent on data modeling, schema design, and product lifecycle management. Focus on translating commercial hypotheses into production-ready data products and establishing standards for data monetization.
Location: Flexible hybrid model; must be based in or able to work from the Boston or Dublin offices
Salary: $148,000 — $185,000 USD
Company
is the largest and fastest-growing automotive marketplace, focused on bringing trust and transparency to car shopping.
What you will do
- Own the end-to-end definition of EDS data products, including Search, Price, and Inventory Trends.
- Translate customer signals and commercial hypotheses into technical specifications for schema, granularity, and governance.
- Productionalize exportable datasets that meet external SLAs via Snowflake share, SFTP, or API.
- Prototype new data assets using dbt and partner with Engineering to optimize core data architecture.
- Define and document customer-facing artifacts such as data dictionaries and schema documentation.
- Operate a customer feedback loop to translate sales signals into asset evolution and roadmap inputs.
Requirements
- 6+ years of experience in Data Analytics, Data Product Management, or Analytics Engineering.
- Proven track record of taking a data asset from concept to an externally consumable product.
- Deep SQL fluency and working knowledge of dbt, Snowflake, and Looker/Omni.
- Strong product instincts to define scope, make tradeoffs, and own a roadmap in a 0-to-1 environment.
- Experience leveraging Gen AI to optimize workflows and execute tasks.
- Ability to work in a hybrid capacity from the Boston or Dublin offices
Nice to have
- Experience with Snowflake Marketplace, data clean rooms, or external data delivery patterns.
- Exposure to automotive, marketplace, or B2B SaaS data domains.
- Experience defining SLAs, monitoring frameworks, and operational support for external data consumers.
Culture & Benefits
- People-first culture fostering kindness, collaboration, and innovation.
- Comprehensive rewards including equity for all employees and discretionary bonuses.
- Flexible hybrid work model and robust time-off policies.
- Daily free lunch, new car discount, and commuting cost coverage.
- Access to meditation and fitness apps to support individual well-being.
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