Website Analytics Specialist (Hybrid) Chicago, IL We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas or take over sponsorship at this time.  About the Role: As a Website Analytics Specialist, problem-solving, self-directing, and action-oriented thinkers are required. You will be responsible for improving website performance by monitoring key conversion funnels, managing our website analytics tracking and tag management, creating reporting in Adobe Analytics and other tracking tools, running conversion optimization tests, maintaining our marketing website content and executing SEO/AEO tactics. The role will be focused on supporting our CashNetUSA brand and does not include direct supervisory responsibilities.  If you’re looking to join a leading Chicago fintech with a data-driven, test-and-learn culture, this could be the perfect role for you. We’re looking for someone ready to turn insights into impact for the CashNetUSA brand. Responsibilities: - Monitor, assess, and report on website and funnel performance. Provide weekly reporting updates and data-driven recommendations to marketing leadership and other key executives. - Stay at the forefront of the evolving search and LLM landscapes by integrating AEO strategies into the overarching digital roadmap. - Analyze visitor segments and traffic trends for optimization and content opportunities.  - Work with our internal creative team to manage and maintain our marketing website. - Create and maintain Adobe Analytics reporting for the marketing team and help the marketing team investigate and troubleshoot conversion issues.  - Partner with cross-functional teams to test UI and UX enhancements to improve the customer application flow. - Develop and optimize landing pages and conversion funnel A/B tests to increase conversion rates.  - Manage implementation of SEO initiatives (manage agency partnerships, work with internal creative teams to optimize website, track rankings and performance, etc.). Requirements: - 5+ years of experience in digital marketing, UX, marketing analytics, SEO, or related fields.  - Have strong web analytics skills with extensive experience using Google Analytics, Adobe Analytics, Hotjar, Ahrefs, Semrush or similar web analytics tools.  - Have experience managing implementation and administration of Google Analytics, Adobe Analytics or similar web analytics tools.  - Have experience with website and tag management (Google Tag Manager, Adobe Launch, etc.), and basic HTML knowledge (CSS and other coding is a plus)  - Have experience designing and running A/B tests through tools such as Optimizely or Adobe Target. - Basic understanding of SEO strategy and HTML.  - Strong analytical and technical skills with experience in data analysis and visualization tools; SQL preferred.  - Excellent project management, communication, and collaboration skills, with a creative and problem-solving mindset. Compensation This position includes various levels within our career ladder. The actual annual salary will be determined based on qualifications, skills, experience, and level assessed during the hiring process and may fall outside of the ranges shown. Budgeted annual salary ranges: - Marketing Associate: $68,500-$99,000 - Senior Marketing Associate: $75,600-$109,200 Additional compensation for this role may include a bonus. All full-time employees are eligible to participate in Company benefits, described in more detail here. Benefits & Perks: - Our hybrid roles require in-office work Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This schedule fosters collaboration, team connection, and strategic planning, enhancing communication and effectiveness to drive results. - Health, dental, and vision insurance including mental health benefits - 401(k) matching plus a roth option (U.S. Based employees only) - PTO & paid holidays off - Sabbatical program (for eligible roles) - Summer hours (for eligible roles) - Paid parental leave - DEI groups (B.L.A.C.K. @ Enova, HOLA @ Enova, Women @ Enova, Pride @ Enova, South Asians @ Enova, APEX @ Enova, and Parents @ Enova) - Employee recognition and rewards program - Charitable matching and a paid volunteer day…Plus so much more! About Enova Enova International is a leading financial technology company that provides online financial services through our AI and machine learning-powered Colossus™platform. We serve non-prime consumers and businesses alike, while offering world-class technology and services to traditional banks—in order to create accessible credit for millions.  Being a values-driven organization is at the core of Enova’s success. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best. Through our values and our commitment to making Enova an awesome place to work, we maintain an environment of inclusion and culture where our employees can thrive. You can learn more about Enova’s values and culture here.  It is our policy to provide equal employment opportunity for all persons and not discriminate in employment decisions by placing the most qualified person in each job, without regard to any other classification protected by federal, state, or local law. California Applicants: Click here to review our California Privacy Policy for Job Applicants.

• Take ownership of and expand our transformation layer using DBT, ensuring new models align with the established architectural patterns. • Design and extend dimensional models using frameworks like Kimball or BEAM, ensuring the schema accurately reflects the nuance of our business operations. • Work with BigQuery. • Establish data quality monitoring and testing frameworks. • Act as a bridge between business and data: Deeply analyse business workflows to gather requirements and translate them into reliable facts and dimensions. • Document data definitions and business logic, ensuring the "why" behind the modelling decisions is clear. • Maintain the long-term health and optimisation of the transformation layer.

• Build and own dbt models for the financial subledger platform (staging → intermediate → canonical facts/balances/marts → semantic), including naming conventions, macros, and reusable patterns. • Implement strong data quality and controls in dbt: tests (unit/relationship/assertions), freshness, anomaly checks, and automated reconciliations that support close and audit readiness. • Embed AI-assisted reconciliation capabilities into the platform (within appropriate security/controls guardrails): automate variance triage, suggest likely root causes, and generate human-reviewable reconciliation narratives and evidence artifacts. • Own end-to-end subledger data products (e.g., event/fact layers, balance rollforwards, reconciliation outputs) with traceability from source events through transformations to reporting outputs. • Partner with Accounting/Financial Reporting to translate requirements into clear model specifications (definitions, posting logic assumptions, tie-out rules) and ship them as durable dbt assets. • Drive production operational ownership: monitoring/alerting, incident response, root-cause fixes, and release hygiene for the pipelines and models you own. • Collaborate with upstream engineering teams to define inputs and improve source data quality via contracts and change management. • Coach and develop one Analytics Engineer (Poland) via code review, pairing, scoped ownership, and clear technical direction.

• Build and own dbt models for the financial subledger platform (staging → intermediate → canonical facts/balances/marts → semantic), including naming conventions, macros, and reusable patterns. • Implement strong data quality and controls in dbt: tests (unit/relationship/assertions), freshness, anomaly checks, and automated reconciliations that support close and audit readiness. • Embed AI-assisted reconciliation capabilities into the platform (within appropriate security/controls guardrails): automate variance triage, suggest likely root causes, and generate human-reviewable reconciliation narratives and evidence artifacts. • Own end-to-end subledger data products (e.g., event/fact layers, balance rollforwards, reconciliation outputs) with traceability from source events through transformations to reporting outputs. • Partner with Accounting/Financial Reporting to translate requirements into clear model specifications (definitions, posting logic assumptions, tie-out rules) and ship them as durable dbt assets. • Drive production operational ownership: monitoring/alerting, incident response, root-cause fixes, and release hygiene for the pipelines and models you own. • Collaborate with upstream engineering teams to define inputs and improve source data quality via contracts and change management. • Coach and develop one Analytics Engineer (Poland) via code review, pairing, scoped ownership, and clear technical direction.