Lead Analytics Engineer
EasyPay Finance- Location
- Vista, California, United States
- Workplace
- Hybrid
- Employment
- Full Time
- Salary
- USD 135,000–180,000/yr
Posted today
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
Skills
- SQL Server
- Python
- Git
- Salesforce
- Tableau
- Metabase
- dbt
- Azure SQL
- LLM
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