
Mid Data Analyst, Billing
Lean Tech
full-time
Posted on:
Location Type: Remote
Location: Colombia
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About the role
- Analyze customer payment behavior
- Identify billing and reconciliation issues
- Consolidate data across multiple systems
- Present insights that drive retention, cash recovery, and operational improvements
- Reconcile financial information across multiple billing and subscription systems, including Stripe, Zuora, Salesforce, payroll providers, lockbox sources, and internal policy systems.
- Identify payment failure trends and root causes (e.g., insufficient funds, do-not-honor codes, chargebacks)
- Provide insights to improve payment success and customer retention
- Create and maintain dashboards and reports with data visualization tools (e.g., Looker, Excel)
- Export and refine datasets in Excel or Google Sheets
- Ensure full QA of your reports before presenting results
- Troubleshoot data issues with inconsistencies and conciliating data from external sources
- Collaborate closely with billing, collections, Operational Excellence, and engineering teams
Requirements
- Strong experience in extracting data from multiple data sources, such as Snowflake.
- Knowledge of SQL Programming, preferably in a Cloud environment
- Basic experience integrating or analyzing data from Stripe, Zuora, payroll systems, lockbox sources, or similar billing/payment platforms.
- Experience integrating data from CRM systems like Salesforce or any other.
- Strong proficiency in Excel and Google Sheets, including reconciliation-focused work.
- Experience building dashboards, reports, and data models in Looker.
- Comfortable working with raw data, structured data, fuzzy matching logic, and data validation processes.
- Understanding of the data lifecycle from ingestion to warehouse to reporting tools.
- Familiar with financial reconciliation processes and Accounts Receivable.
- Basic knowledge with subscription billing, insurance billing workflows, or payment operations is a strong plus.
- Ability to interpret financial trends and operational performance data.
Benefits
- Professional development opportunities with international customers
- Collaborative work environment
- Career path and mentorship programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisSQL programmingdata extractiondata reconciliationdata visualizationdashboard creationdata modelingfuzzy matching logicdata validationfinancial trend interpretation
Soft Skills
collaborationproblem-solvingcommunicationattention to detailanalytical thinking