Analytics Engineer
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Job description
Be an Early Applicant Remote Hiring Remotely in U.S. 190K-224K Annually Senior level Remote Hiring Remotely in U.S. 190K-224K Annually Senior level Designs scalable data models, optimized SQL queries, analytics infrastructure, semantic layers, and data applications. Partners with data science, product, engineering, and business teams to enable dashboards, self-service analytics, reporting, and enterprise data-driven decision-making. The role also establishes analytics engineering best practices, improves developer experience, and supports secure, compliant data warehousing. The summary above was generated by AI
At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it.
As a Senior Analytics Engineer, you’ll be responsible for laying the foundation for a best-in-class analytics function. You’ll partner closely with our data science team and business stakeholders to ensure that our analytics stack and processes meet the business needs today with an eye towards the future.
What you’ll do as an Senior Analytics Engineer at Vanta:
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Design and implement complex data models to enable dashboards, self-serve analytics, and data science teams.
- Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses.
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Enable AI tooling with semantic layers and observability, guiding analytics functions on best practices.
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Manage and improve data infrastructure needed to drive data-driven decision-making solutions.
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Help develop front end applications to expose analytical data sets enterprise wide
- Work with the Product and Corporate Engineering system teams to structure source systems for reporting consumption across the enterprise.
Requirements
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Have at least eight years of experience working with data and two years of experience in Software Engineering or a related field.
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Have experience with common analytics tooling (e.g. dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma).
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Bring a system-oriented and software engineering mindset to the Analytics Engineering practice. We’re looking to build frameworks that manage data, and minimize bespoke queries.
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Deep knowledge of crafting dimensional and fact models in modern data fashion.
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Have a passion for enabling the developer experience of data, and being obsessed with giving data super powers across the company.
- Desire to lead the industry in security, anonymization, and compliance management when it comes to data warehousing.
- Must be authorized to work in the U.S. without the need for current or future employer sponsorship.
- Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.
Benefits & conditions
- Industry-competitive salary and equity
- Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
- 16 weeks paid Parental Leave for all new parents
- Health & wellness stipend
- Remote workspace, internet, and cellphone stipend
- Commuter benefits for team members who report to the SF and NYC office
- Family planning benefits
- Matching 401(k) contribution with immediate vesting
- Flexible PTO policy, plus 80 hours of Sick Time
- 11 company-paid holidays
- Virtual team building activities, lunch and learns, and other company-wide events!
- Offices in SF, NYC, London, Dublin, Tel Aviv, and Sydney, 7 Days Ago In-Office or Remote 139K-245K Annually Senior level 139K-245K Annually Senior level Blockchain * eCommerce * Fintech * Payments * Software * Financial Services * Cryptocurrency Own end-to-end analytics engineering for AI and developer-experience telemetry, including instrumentation, production pipelines, governed metrics, monitoring, executive dashboards, and analysis. Define and validate new measures of AI productivity and ROI, communicate findings to senior stakeholders, and recommend improvements to tooling, processes, and investment. Collaborate with data engineering, applied AI, and data science teams while using AI coding agents to build and maintain pipelines and reporting. Top Skills: Ai Coding AgentsCi/CdDbt Semantic LayerGitGoverned Metrics StoreLlm-Based Classification ToolingLookmlPythonReactSnowflakeSQLTypescript Cash App, 8 Days Ago Remote or Hybrid 139K-245K Annually Senior level 139K-245K Annually Senior level Blockchain * Fintech * Mobile * Payments * Software * Financial Services Own AI and developer-experience analytics end to end, including telemetry instrumentation, production data pipelines, metric governance, executive dashboards, and analysis. Define trustworthy metrics from evolving signals, monitor pipeline quality, communicate insights to senior stakeholders, and recommend actions to improve AI ROI and developer productivity. Use AI coding agents to build and maintain pipelines, dashboards, and analyses while partnering with data engineering, applied AI, and data science teams. Top Skills: Ai Coding AgentsCi/Cd PipelinesDbt Semantic LayerGitGoverned Metrics StoreLlm-Based Classification ToolingLookmlPythonReactSnowflakeSQLTypescript Block, 139K-245K Annually Senior level 139K-245K Annually Senior level Blockchain * eCommerce * Fintech * Payments * Software * Financial Services * Cryptocurrency Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses. Top Skills: Ai Coding AgentsCi/CdGitLlm-Based Classification ToolingMetrics StorePythonReactSnowflakeSQLTypescript
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About the company
We started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world’s leading Trust Management Platform, our vision remains unchanged.
Now more than ever, making security continuous-not just a point-in-time check- is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust- all in a way that’s real-time and transparent.
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