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EasyPay Finance

Lead Analytics Engineer

EasyPay Finance

. Run the analytics database and scheduled jobs, ensuring they are reliable, monitored, and documented .

Posted 9/17/2026full-timeRemote • California • United StatesSenior💰 $135,000 - $160,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in managing production data pipelines, operational reporting, and API integration while leading analytics initiatives. Proficient in SQL Server and Python, with a strong focus on data quality and KPI management.

Highest-signal resume keywords
SQL ServerPythonAPI ExtractionData Pipeline ManagementOperational Reporting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQL ServerPythonAPI ExtractionData Pipeline ManagementOperational ReportingData ModelingKPI DefinitionScheduled Job OperationsData Quality ChecksIncremental Data Loads
Soft Skills
LeadershipCollaborationCommunication
Tools & Technologies
BI ToolsGit
Industry Keywords
Analytics DatabaseVendor APIsCRMContact CenterLending Platforms

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Run the analytics database and scheduled jobs, ensuring they are reliable, monitored, and documented
  • Pull in new sources through vendor APIs, including CRM, contact center, and lending platforms, using incremental, restartable loads
  • Model raw data into trusted tables and views
  • Build operational reporting, including call lists, merchant partner reporting, and management reports
  • Own the data dictionary and KPI definitions in partnership with business owners
  • Lead one analyst, setting direction and improving quality
  • Learn the business and current platform during the first 90 days
  • Take over daily platform operations alongside the team
  • Deliver one new data source end to end
  • Establish and document shared KPI definitions

Requirements

What you’ll need
  • 5+ years running production data pipelines and reporting
  • Strong SQL Server skills, including window functions, deduplication, and performance on large tables
  • Python and API extraction and pipeline experience
  • Experience operating scheduled jobs with logging, alerting, and quality checks
  • Experience publishing data to a BI tool and supporting its users
  • Comfortable working in Git

Benefits

Comp & perks
  • Paid Time Off (PTO) Program
  • 10 paid holidays
  • 401(k) programs and employer match
  • Internet reimbursement - $40 per month
  • Access to Employee Assistance Program (EAP)
  • Ongoing learning and development resources
  • Flexible Spending or Health Savings Accounts
  • Life and AD&D Insurance
  • Retailer discounts