Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Analytics Engineer responsible for building and maintaining data pipelines and dashboards across Finance, GTM, Product, and Engineering. You’ll own the data layer, model the data, and provide actionable insights with a full-stack mindset, partnering with RevOps, Finance, and external data vendors to enable decision-making across the business.

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Build, maintain, and extend data pipelines and dbt models transforming raw data into clean, reliable datasets used across the company.
•Own the reporting layer across key business domains by building internal tooling and dashboards for visibility and decisions.
•Develop deep familiarity with Rogo’s data model and become a go-to resource for stakeholders needing data interpretation.
•Support third-party vendor relationships with financial data providers (LSEG, FactSet, Pitchbook, etc) in partnership with engineering and data PM.
•Support GTM analytics by building the data layer powering account health, pipeline reporting, and customer activity tracking for RevOps.

Key Requirements

•4–8 years of experience in analytics, data engineering, or a closely related role.
•Deep SQL proficiency and experience with a modern cloud data warehouse (Snowflake preferred).
•Hands-on dbt experience: models, tests, macros, and a well-structured transformation layer.
•Experience building dashboards and reports for non-technical stakeholders (Sigma, Looker, Hex, or similar).
•A full-stack mindset and strong business instinct to connect data output to outcomes, not just deliverables.

Experience:4-8 yearsFinanceEnterprise SaaSAI

Skills:SQLSnowflakeDbtLookerSigmaHexPythonSalesforce

Tech Stack:SQLSnowflakeDbtLookerSigmaHexPythonSalesforce

Company Brief

Rogo

Provides an AI-driven research platform that automates consumer interviews, surveys, and qualitative insights to help product and marketing teams gather and analyze customer feedback faster.

Industry: Enterprise Software

Website

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Rogo

4 weeks ago

Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: New York

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Build, maintain, and extend data pipelines and dbt models transforming raw data into clean, reliable datasets used across the company.
•Own the reporting layer across key business domains by building internal tooling and dashboards for visibility and decisions.
•Develop deep familiarity with Rogo’s data model and become a go-to resource for stakeholders needing data interpretation.
•Support third-party vendor relationships with financial data providers (LSEG, FactSet, Pitchbook, etc) in partnership with engineering and data PM.
•Support GTM analytics by building the data layer powering account health, pipeline reporting, and customer activity tracking for RevOps.

Key Requirements

•4–8 years of experience in analytics, data engineering, or a closely related role.
•Deep SQL proficiency and experience with a modern cloud data warehouse (Snowflake preferred).
•Hands-on dbt experience: models, tests, macros, and a well-structured transformation layer.
•Experience building dashboards and reports for non-technical stakeholders (Sigma, Looker, Hex, or similar).
•A full-stack mindset and strong business instinct to connect data output to outcomes, not just deliverables.

Experience:4-8 yearsFinanceEnterprise SaaSAI

Skills:SQLSnowflakeDbtLookerSigmaHexPythonSalesforce

Tech Stack:SQLSnowflakeDbtLookerSigmaHexPythonSalesforce

Company Brief

Rogo

Provides an AI-driven research platform that automates consumer interviews, surveys, and qualitative insights to help product and marketing teams gather and analyze customer feedback faster.

Industry: Enterprise Software

Website