Opportunity Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list. Find me work
dataroles

Lead Analytics Engineer

EasyPay Finance Open · verified Oct 24, 2026
Vista Full-time Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at EasyPay Finance. Vista · full-time · $150,000–$180,000 base.

SalaryStated by EasyPay Finance
$150,000 – $180,000
Base salary for this role, in USD per year, as published in the posting.
RoleData Analysis & BI
SenioritySenior
LocationVista
EmploymentFull-time
Base pay$150,000–$180,000
PostedOct 5, 2026 · 2w ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Keep the SQL Server analytics platform and scheduled workloads reliable, monitored and documented
  • Connect CRM, contact center and lending data through vendor APIs, using incremental loads that can restart
  • Shape raw inputs into trusted tables and views, then build daily call lists, partner reports and management reporting
  • Maintain the data dictionary and shared KPI definitions with business owners, while publishing reusable BI assets
  • Guide one analyst and help set the platform's quality standards and roadmap

What you bring

  • At least five years operating production data pipelines and reporting
  • Strong SQL Server skills, including window functions, deduplication and performance on large tables
  • Experience using Python and APIs to extract data and build pipelines, plus operating scheduled jobs with monitoring and quality checks
  • You've delivered data to a BI tool and supported its users, and you're comfortable working in Git

Who this fits

This is a hands-on senior role for someone who can take over a working platform and keep it running while delivering new data sources and shared definitions. You’ll lead one analyst. The stated San Diego arrangement is onsite or hybrid.

From the employer

  • Lead Analytics Engineer

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.
    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

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI$150k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.