Senior Revenue Analytics Lead

United Site Services, Inc

Meridian (ID)

On-site

USD 90,000 - 134,000

Full time

3 days ago

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Benefits offered by this job

Medical/Pharmacy

Dental

Vision

401(k) with employer match

Employer‑Paid Short‑Term Disability

Employee Discounts

Job summary

United Site Services is seeking a Senior Business Intelligence Analyst to advance analytics for Revenue Operations. You will develop scalable data models, automate processes, and build executive dashboards to improve forecasting, pipeline visibility, and sales performance.

Reporting to the Senior Director of Analysis & Insights, you will work with Sales, Finance, Marketing, BI, and IT to deliver production-quality data solutions and actionable insights for executive decision-making.

Qualifications

Bachelor’s degree in Business, Analytics, Finance, Economics, Information Systems, Data Science, Computer Science, or a related field.
Minimum of 5 years of experience in Sales Analytics, Revenue Operations, Business Intelligence, Data Analytics, or a related analytical function.
Advanced SQL skills with demonstrated ability to work with complex queries, multiple tables, CTEs, window functions, transformations, and large datasets.
Experience with Snowflake or a comparable cloud data platform and strong knowledge of modern data modeling practices.
Experience developing and maintaining dbt models or working with a comparable data transformation framework.
Strong experience with Power BI, including data modeling, DAX, semantic models, dashboard development, and executive reporting.
Experience developing and maintaining automated workflows using Power Automate or a comparable workflow automation platform.
Experience working with Salesforce data and a strong understanding of CRM concepts including accounts, opportunities, pipeline, ownership, and sales activity.
Strong understanding of sales performance concepts including revenue, forecasting, pipeline, targets, attainment, productivity, account management, and new business.
Strong problem-solving, communication, and collaboration skills with the ability to work independently, manage multiple priorities, and translate complex analytical findings into clear business recommendations.

Responsibilities

Build, develop, and maintain scalable data models supporting Sales Performance, Forecasting, Pipeline Management, Account and Book Health, New Business, and other Revenue Operations priorities.
Write, optimize, and maintain complex SQL transformations and dbt models to support reporting, analytics, and recurring business processes.
Design, develop, and enhance Power BI dashboards, semantic models, DAX measures, and executive-level reporting solutions.
Own analytical solutions from requirements gathering through development, validation, implementation, documentation, and ongoing support.
Develop and maintain Sales Effectiveness KPIs and performance frameworks related to revenue, pipeline, forecasting, targets, attainment, productivity, and account management.
Support sales forecasting, target setting, budgeting, pipeline analysis, and commercial planning through advanced data modeling and analysis.
Partner directly with Sales and Revenue Operations leaders to translate business questions into analytical approaches, insights, and actionable recommendations.
Design and maintain automated reporting and workflow solutions using tools such as Power Automate, Salesforce, and other available technologies.
Own data quality within assigned areas through reconciliation, validation, exception monitoring, root‑cause analysis, and implementation of appropriate quality controls.
Partner with BI, Data Engineering, and IT teams on data architecture, governance, model design, performance optimization, and enterprise analytics standards.