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Senior Analytics Engineer

Posted about 1 month agoViewed

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💎 Seniority level: Senior, 5+ years

📍 Location: United States, PST

💸 Salary: 160000.0 - 180000.0 USD per year

🔍 Industry: Insurance, Financial Services

🏢 Company: Vouch Insurance

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: PythonSQLBusiness IntelligenceETLGitSnowflakeAirflowData engineeringData modelingData analytics

Requirements:
  • 5+ years experience developing ETL/ELT workflows as a data analytics engineer, data engineer, or data analyst, supporting a variety of business domains
  • Advanced experience in SQL, dbt, Snowflake, and git
  • Intermediate experience building business reporting processes (e.g. for Finance, GTM, Actuarial, etc.)
  • Intermediate experience leveraging data pipeline services like Stitch and orchestration tools like Airflow
  • Basic experience with business intelligence tools such as Mode Analytics
  • Basic experience in Python, Airflow, Stitch
Responsibilities:
  • Architect, build and optimize robust data models in dbt to power business reporting processes and analytics use cases
  • Effectively speak with, and listen to, business stakeholders, engineers, designers, executives, etc., so that you can Understand business context and support analysts/business stakeholders across GTM, Insurance, Finance, Product, etc. to design and build single-source-of-truth data assets to drive Vouch’s business
  • Act as a liaison between Engineering and Analytics to define source and target fields for data assets
  • Partner with upstream Engineering teams to develop new and adapt existing data models as our technology and business evolve
  • Clearly document specs and data models with source, description, and field definitions to enhance collaboration, scalability, and usability
  • Set up tests to ensure data quality, monitor daily job execution, and diagnose/fix issues to ensure SLAs are met
  • Perform root cause analysis for data quality issues, and partner with upstream teams and business stakeholders to rectify dirty, incomplete, or unreliable data
  • Maintain and enforce consistent data modelling standards, best practices, and design patterns
  • Provide and receive constructive feedback through code reviews, technical specifications, and pair programming sessions
  • Use software development best practices with a focus on version control, testing, reliability and maintainability
  • Work in dbt, SQL, Snowflake, git, Airflow, Python, Stitch, Mode, and we welcome new ideas!
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