Lead Analytics Engineer at EasyPay Finance in Vista, CA

Job description

• We're consolidating analytics onto a single SQL Server database that sits right alongside our lending systems, and you'll own it end to end: what lands in it, how it's modeled, and the reporting that runs off it. The goal is self-service — governed tables, a real data dictionary, and published models so that most questions answer themselves. When someone does need you directly, the result should be a reusable asset, not a one-off number.
• This is a hands-on job for someone who likes to finish things and keep them running. You'll inherit a working platform and a team that has already solved the hard migration problems. From there, the work is new sources, shared definitions, better distribution, and a roadmap you help write.

Responsibilities

• Run the analytics database and its scheduled jobs - reliable, monitored, and documented.
• Pull in new sources through vendor APIs (CRM, contact center, lending platforms) with incremental, restartable laods
• Model raw data into tables and views the business can trust.
• Build operational reporting that has to be right every day: 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 raising the bar on quality.

Requirements

• 5+ years running production data pipelines and reporting.
• Strong SQL Server: window functions, dedup, and performance on big tables.
• Python and API extraction and pipelines.
• Experience operating scheduled jobs and logging, alerting, and quality checks.
• You've published data to a BI tool and supported the people using it.
• Comfortable working in Git.
• Consumer lending or financial services experience.
• Salesforce or Genesys Cloud Data
• Tableau, Metabase, ThoughtSpot, Omni, or similar
• dbt, AZURE SQL, or AI/LLM tooling on data.

Skills

Required

• Python
• API extraction and pipelines
• BI tool publishing and user support
• Git

Preferred

• Salesforce or Genesys Cloud Data

Benefits

• Compensation is based on work location.
• San Diego (onsite/hybrid): $150,000–$180,000 base per year.
• Remote (outside California): $135k-$160k base per year, set by the labor market for the candidate's location. *
• Individual offers within each range depend on job-related factors such as experience, skills, and qualifications.
• Relax and recharge with Paid Time Off (PTO) Program; plus 10 paid holidays
• Financial health with 401(k) programs and employer match
• Internet reimbursement - $40 per month
• Take care of your emotional, physical, and financial wellbeing with access to EAP
• We invest in your future through ongoing learning and development resources
• Save on taxes with Flexible Spending or Health Savings Accounts
• Peace of mind with Life and AD&D Insurance
• Discounts for shopping at various retailers