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SeniorFull-timePythonRustAIData
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an Analytics Engineer to help build and scale our enterprise analytics foundation at 6sense. This role sits at the intersection of data engineering, analytics, and business strategy, ensuring trusted, well-modeled data is available across the organization.
Key Responsibilities
- βDesign, build, and maintain scalable, well-documented data models that power executive dashboards, financial reporting, and operational analytics.
- βOwn the entire ELT process, from raw source data to analytics-ready, production-grade data models.
- βPartner with upstream data ingestion teams to improve source data quality, reliability, and observability.
- βDefine and enforce data quality standards through automated testing, documentation, and monitoring.
- βContribute to data governance efforts, including access controls, data lineage, documentation, and metric consistency.
- βCollaborate closely with Finance, Revenue Operations, GTM, Product, and Analytics teams to translate business requirements into scalable data models.
- βEnable data literacy and self-service analytics across the organization through participation in a Data Champions program.
- βEstablish and contribute to analytics engineering best practices and shared documentation.
- βReview code and mentor junior analytics engineers, providing technical guidance and feedback.
- βIdentify opportunities to improve performance, cost efficiency, and developer experience across the analytics and data platform.
Requirements
- βBachelor's degree in a technical or math-based discipline, or equivalent practical experience.
- βMinimum of 8 years of experience in data analytics or engineering.
- βExpert-level SQL knowledge, with proficiency in large-scale data manipulation and performance optimization.
- βExperience leading cross-functional projects from ideation through execution.
- βDeveloped experience with data architecture, pipelines, and ELT processes.
- βExperience with dbt, Snowflake and Fivetran
- βProficiency in Python and/or R, along with SQL and BI tools.
Benefits
Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options.
