Analytics Engineer
New
N
NcontractsRisk Management
RemoteFull-TimeSenior
Salary$120K - $160K; $120K – $160K • Offers Bonus; Base Salary $120K – $160K • Offers Bonus
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLGitSnowflakeProduct AnalyticsCI/CDJSONData modelingdbt
Requirements
- 5+ years of experience in analytics engineering, data analytics, or a related data role.
- Strong SQL proficiency for complex data transformation and performance optimization.
- Hands-on experience with dbt (Core or Cloud) for modeling, testing, and deployment.
- Experience working with Snowflake or a comparable cloud data warehouse (BigQuery, Redshift, Databricks).
- Solid understanding of data modeling concepts, including dimensional modeling and star/snowflake schemas.
- Proficiency with BI tools (preferably Sigma) to create dashboards and reports.
- Understanding of software engineering fundamentals: Git, testing, code review, and CI/CD.
- Comfort working with semi-structured data like JSON.
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or equivalent.
- Ability to work backwards from business questions to data requirements.
- Strong communication skills to present technical findings to non-technical stakeholders.
Responsibilities
- Design, build, and maintain data models in Snowflake using dbt for product analytics.
- Define and maintain metrics frameworks and KPIs to drive product and business decisions.
- Build interactive dashboards and self-service reports in Sigma for stakeholders.
- Design instrumentation strategies with engineering teams to capture product signals.
- Partner with product managers to translate product questions into precise analytical insights.
- Conduct deep-dive analyses including funnel and cohort analysis and root cause investigations.
- Own data quality end-to-end, including dbt tests, validation, and documentation.
- Optimize query performance and warehouse costs in Snowflake.
- Establish and enforce data governance standards and consistent metric definitions.
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