Product Analyst II at Earnest | United States | Rezi

Product Analyst II at Earnest

Product Analyst II

Earnest · United States

1 weeks ago

Product Analyst II

Earnest · United States

8 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

Earnest empowers ambitious professionals to make confident financial decisions and build the life they envision. As a Product Analyst on the Data and Analytics team, you will report to the Analytics Manager and work closely with our Product teams to use data to make better decisions and accelerate learning. This role requires true analytical curiosity and the ability to solve unstructured problems.

Responsibilities

  • Lead data-driven experimentation to improve the client loan application experience
  • Perform hands-on, in-depth analysis and presentations to assist in identifying product opportunities and product roadmap decisions
  • Develop and maintain product analytics tracking across web and mobile platforms
  • Partner with Product, Research, and Design to define customer personas and roadmap priorities
  • Collaborate with Analytics Engineering to validate analytics solutions and drive model development
  • Identify opportunities for new product analytics initiatives, improved reporting processes, or enhanced testing strategies

Requirements

  • 3+ years in a product or analytical role, blending data with strategic business insights.
  • Proficiency in SQL for manipulating and summarizing complex data.
  • Hands-on experience with analytics platforms (such as Segment, Amplitude, or Looker).
  • 1+ years working with A/B testing, statistical methodologies, and conversion funnels.
  • Exposure to the end-to-end product development lifecycle, from initial concept to implementation.
  • Experience transforming raw data using ETL tools (such as dbt or Fivetran).
  • Knowledge of data governance and internal control requirements.
  • Background in modeling financial portfolios, particularly student loans.
  • Understanding of lifecycle marketing and customer segmentation strategies.
  • Working knowledge of R or Python.

Skills

  • SQL
  • Segment
  • Amplitude
  • Looker
  • A/B testing
  • statistical methodologies
  • conversion funnels
  • ETL tools
  • dbt
  • Fivetran
  • data governance
  • internal control requirements
  • modeling financial portfolios
  • student loans
  • lifecycle marketing
  • customer segmentation strategies
  • R
  • Python

Location

  • US

Work Type

  • Full-time

Experience Level

  • 3+ years

Salary/Compensations

  • $100,000 - $125,000 USD

Benefits

  • Annual performance-based bonus
  • Equity
  • Health, Dental, & Vision benefits plus savings plans
  • Mac computers + work-from-home stipend
  • Monthly internet and phone reimbursement
  • Employee Stock Purchase Plan
  • Restricted Stock Units (RSUs)
  • 401(k) plan with company match
  • Robust tuition reimbursement program
  • $1,000 travel perk on each Earnie-versary
  • Competitive days of annual PTO
  • Competitive parental leave

About the Company

  • Earnest empowers ambitious professionals to make confident financial decisions and build the life they envision.
  • Earnies are committed to helping borrowers move forward with confidence by offering smarter borrowing options with a clearer path to taking control of their debt.
  • At Earnest, our people bring our cultural principles to life. These principles define how we work, how we win, and what we expect of ourselves and each other: Every Second Counts, Choose To Do Hard Things, Pursue Excellence, Lead Together, Don’t Take Yourself Too Seriously.

Equal Opportunity

  • Earnest provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, veteran status, disability or genetics.
  • Qualified applicants with criminal histories will be considered for the position in a manner consistent with the Fair Chance Ordinance.