HopSkipDrive

3 months ago

Data Analyst - Revenue Ops

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Proactive data analyst supporting Revenue Operations by translating business requests into rigorous, reproducible analyses. You’ll build models and dashboards, leverage SQL and cloud data warehouses, and partner with Sales Ops and cross-functional teams to optimize revenue strategies. Strong communication and ability to simplify insights for technical and non-technical audiences are essential.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Translate business requests into rigorous, reproducible analyses for Sales/Revenue Ops.
•Build and maintain models and dashboards using BI tools to enable self-serve analytics.
•Leverage SQL and Snowflake to access and model data, ensuring data quality and integrity.
•Collaborate cross-functionally with sales, finance, and product teams to align on business objectives.
•Communicate findings effectively to both technical and non-technical audiences and drive data-informed decisions.

Pay and Benefits

Salary: USD 95,000 - 110,000 annually

Equity and Bonus:Equity

Perks:EquityMedicalDentalVision401kLife InsuranceFsa

Key Requirements

•5+ years in a data-intensive analyst role at a technology company, specifically within Sales or Revenue Operations
•Strong SQL skills with the ability to build reliable models and debug complex data issues independently
•Proven expertise building sophisticated dynamic models in Excel or Google Sheets for scenario planning and revenue forecasting
•Direct experience with a cloud data warehouse like Snowflake
•Technical proficiency with Salesforce CRM data models, reporting structures, and data hygiene practices
•Demonstrated experience using modern BI tools (Tableau, Looker, or Omni) to build reports and self-serve analytics

Experience:5+ yearsRevenue operationsSales analyticsData analyticsSaaSTechnology

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:SQLSnowflakeSalesforceTableauLookerOmniExcelGoogle Sheets

Company Brief

HopSkipDrive

Provides on-demand, vetted-driver transportation services for children and seniors, partnering with school districts, families, and care providers to offer safe, scheduled, and ad hoc rides through a tech-enabled platform.

Industry: Mobility Platforms

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: Los Angeles, United States

Founded: 2013

Website LinkedIn

Loading job details...

Preparing the role view and application actions.

HopSkipDrive

3 months ago

Data Analyst - Revenue Ops

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Translate business requests into rigorous, reproducible analyses for Sales/Revenue Ops.
•Build and maintain models and dashboards using BI tools to enable self-serve analytics.
•Leverage SQL and Snowflake to access and model data, ensuring data quality and integrity.
•Collaborate cross-functionally with sales, finance, and product teams to align on business objectives.
•Communicate findings effectively to both technical and non-technical audiences and drive data-informed decisions.

Pay and Benefits

Salary: USD 95,000 - 110,000 annually

Equity and Bonus:Equity

Perks:EquityMedicalDentalVision401kLife InsuranceFsa

Key Requirements

•5+ years in a data-intensive analyst role at a technology company, specifically within Sales or Revenue Operations
•Strong SQL skills with the ability to build reliable models and debug complex data issues independently
•Proven expertise building sophisticated dynamic models in Excel or Google Sheets for scenario planning and revenue forecasting
•Direct experience with a cloud data warehouse like Snowflake
•Technical proficiency with Salesforce CRM data models, reporting structures, and data hygiene practices
•Demonstrated experience using modern BI tools (Tableau, Looker, or Omni) to build reports and self-serve analytics

Experience:5+ yearsRevenue operationsSales analyticsData analyticsSaaSTechnology

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:SQLSnowflakeSalesforceTableauLookerOmniExcelGoogle Sheets

Company Brief

HopSkipDrive

Industry: Mobility Platforms

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Funding: Series D

Headquarters: Los Angeles, United States

Founded: 2013

Website LinkedIn