Senior Revenue Data & Analytics Specialist - Remote

UnitedHealth Group•Richmond, BC

7h•CA$82,700 - CA$171,900•Remote

About The Position

This role blends data engineering, financial analysis, and business analytics. You will maintain critical data pipelines, manage large datasets, lead recurring revenue forecasting, and support cross functional teams through dashboards, reporting, and ad hoc analysis. Strong SQL/ETL and Excel skills, and financial acumen are essential. You’ll enjoy the flexibility to work remotely from anywhere within Canada as you take on some tough challenges.

Requirements

Advanced SQL
enterprise level dashboarding experience
Experience with Salesforce, SAP, and large datasets
Experience with visual analytics (PowerBI dashboards development and maintenance)
Intermediate Excel skills (experience with VLOOKUP, pivot tables, INDEX, and Power Query)
Experience with financial analysis and business metrics: forecasting, variance, risk assessment
Python for ETL/automation (pandas preferred)
ETL pipeline creation and maintenance
Proven ability to diagnose system discrepancies, treat and reconcile data
Proven ability to manage competing deadlines
Proven curiosity, attention to detail, and strong documentation habits
Proven good communication and comfortable presenting to small groups (~10 people)

Nice To Haves

Revenue recognition or financial modeling experience
API integration experience
Proven R or additional analytics tools; healthcare/finance/tech industry exposure
Proven predictive modeling, regression, or basic machine learning

Responsibilities

Lead recurring revenue forecasting across all Enterprise Imaging business units for hundreds of customers
Analyze attrition, maintenance compression, and client level impacts
Validate SAP revenue data and perform Actuals vs. Forecast variance analysis
Assess and escalate revenue risks; support EOL forecasting
Incorporate special revenue recognition rules into forecast models
Monitor data from Salesforce, SAP, Smartsheet, and internal systems
Reconcile multiple risk sources (Qualtrics, Salesforce, email)
Track labor hour data and identify inconsistencies impacting forecasts
Ensure alignment and integrity across all forecasting related systems
Build and maintain SQL jobs, ETL processes, and large scale data pipelines
Support and troubleshoot Python scripts for automation and data processing
Improve data structures, transformations, and quality (duplicates, nulls, outliers)
Build and maintain Power BI dashboards; support migration from Spotfire
Deliver dashboards and reports end to end, including data modeling
Handle ad hoc requests: dashboards, data mining, reporting, executive summaries
Collaborate with Finance, Sales, Revenue Accounting, Contracts, and Operations
Document data logic, sources, and metric definitions
Present insights and explain complex concepts to technical and non technical audiences