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Lead Analytics Engineer EasyPay Finance

• 4.3 Vista, CA Job Details Full-time $135,000
• $180,000 a year 4 hours ago Benefits Internet reimbursement Health savings account AD&D insurance Paid holidays Paid time off Employee assistance program 401(k) matching Qualifications Data Integration (Data management) Business intelligence report generation Git SQL Database server management Production systems Business intelligence tools Data pipeline scheduling Improving database performance APIs Python Data analytics technologies Full Job Description

POSITION OVERVIEW

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.

KEY 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.

REQUIRED QUALIFICATIONS

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.

PREFERED QUALIFICATIONS

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.

YOUR FIRST 90 DAYS

Learn the business and the current platform. Operate

• take over daily operations of the platform alongside the team. Deliver
• land one new source, end to end. Define
• get the first shared KPI definitions agreed and written down.

WHAT WE OFFER

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