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Aqua Finance, Inc.

Senior Credit Analytics Engineer

Aqua Finance, Inc.

Senior Credit Analytics Engineer building SQL- and Python-based data products for Aqua Finance’s consumer lending programs. Developing analytics-ready datasets, reporting solutions, and credit analytics infrastructure.

Posted 8/20/2026full-timeIllinois, Minnesota, North Carolina • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing analytics-ready datasets, utilizing advanced SQL, Python, and dbt for data transformation workflows. Proficient in implementing reporting solutions with Power BI and ensuring data quality through best practices in business intelligence.

Highest-signal resume keywords
Advanced SQL ProficiencyPython DevelopmentData Transformation WorkflowsReporting Solutions in Power BIAnalytics Engineering Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLPythonDbtData EngineeringAnalytics EngineeringData ValidationData ReconciliationDimensional ModelsData MartsAnalytics-Ready Datasets
Soft Skills
Strong CommunicationAnalytical SkillsProblem-Solving SkillsOrganizational Skills
Tools & Technologies
Power BISigmaSnowflakeGitAqua Finance
Industry Keywords
BankingConsumer LendingFinancial ServicesFintechCredit RiskCollections

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Design, develop, and maintain analytics-ready datasets supporting underwriting, credit risk, pricing, originations, collections, dealer oversight, performance, and portfolio analytics
  • Develop reusable SQL objects, dimensional models, data marts, and curated datasets
  • Build and maintain scalable data transformation workflows using SQL, Python, dbt, Git, and Snowflake-native scheduling and automation
  • Simplify, consolidate, integrate, and reconcile data from lending and operational systems into trusted analytical data products
  • Partner with analysts and business stakeholders to convert analytical needs into reusable data products and standardized business logic
  • Establish reporting and business intelligence best practices, including consistent metrics, reusable datasets, semantic models, documentation, organization, and quality controls
  • Develop, maintain, and share ownership of reporting solutions using Power BI, Sigma, or comparable tools
  • Design analytical solutions balancing speed, flexibility, performance, maintainability, and longer-term data architecture
  • Collaborate with Data Engineering, IT, and Operations to align solutions with enterprise standards, system capabilities, and business processes
  • Implement automated testing, validation, monitoring, and documentation for analytical data assets
  • Support Aqua Finance’s consumer-friendly financing programs for clean water, home renovations, and outdoor purchases

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field, or commensurate work experience required
  • 5 years of experience in analytics engineering, data engineering, business intelligence, or advanced analytics required
  • Advanced SQL proficiency and experience with Python, dbt, and Git required
  • Experience developing, validating, reconciling, and troubleshooting complex analytical datasets across multiple systems
  • Experience designing analytics-ready datasets required
  • Snowflake experience preferred
  • Experience supporting reporting solutions in Power BI, Sigma, or a comparable platform preferred
  • Banking, consumer lending, financial services, fintech, credit risk, or collections experience preferred
  • Strong communication, analytical, problem-solving, and organizational skills required
  • Must be able to sit for long periods of time
  • Must be able to work on a computer 90% of the time
  • May occasionally lift, push, or pull up to 20 pounds

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Aqua Finance, Inc. Website LinkedIn All Job Openings 201 - 500 employees Founded 1985 🏗️ Construction 🏥 Healthcare 🏨 Hospitality Construction
  • Healthcare
  • Hospitality Aqua Finance, Inc. is a financial services company that specializes in providing consumer financing solutions to facilitate access to various home improvement projects and recreational products. They focus on diverse areas such as water treatment, HVAC systems, pools, spas, and general home renovations, helping dealers and customers make significant life enhancements more affordable. With a commitment to customer service, Aqua Finance partners with dealers to ensure a smooth and transparent financing process for borrowers. Senior Credit Analytics Engineer Job not on LinkedIn 🔥 2 minutes ago 🏢 null – Onsite ⏰ Full Time 🟠 Senior 📊 Analytics Engineer 👻 Ghost score 10% Python SQL Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • Design, develop, and maintain analytics-ready datasets supporting underwriting, credit risk, pricing, originations, collections, dealer oversight, performance, and portfolio analytics
  • Develop reusable SQL objects, dimensional models, data marts, and curated datasets
  • Build and maintain scalable data transformation workflows using SQL, Python, dbt, Git, and Snowflake-native scheduling and automation
  • Simplify, consolidate, integrate, and reconcile data from lending and operational systems into trusted analytical data products
  • Partner with analysts and business stakeholders to convert analytical needs into reusable data products and standardized business logic
  • Establish reporting and business intelligence best practices, including consistent metrics, reusable datasets, semantic models, documentation, organization, and quality controls
  • Develop, maintain, and share ownership of reporting solutions using Power BI, Sigma, or comparable tools
  • Design analytical solutions balancing speed, flexibility, performance, maintainability, and longer-term data architecture
  • Collaborate with Data Engineering, IT, and Operations to align solutions with enterprise standards, system capabilities, and business processes
  • Implement automated testing, validation, monitoring, and documentation for analytical data assets
  • Support Aqua Finance’s consumer-friendly financing programs for clean water, home renovations, and outdoor purchases 🎯 Requirements
  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, Engineering, Economics, or a related quantitative field, or commensurate work experience required
  • 5 years of experience in analytics engineering, data engineering, business intelligence, or advanced analytics required
  • Advanced SQL proficiency and experience with Python, dbt, and Git required
  • Experience developing, validating, reconciling, and troubleshooting complex analytical datasets across multiple systems
  • Experience designing analytics-ready datasets required
  • Snowflake experience preferred
  • Experience supporting reporting solutions in Power BI, Sigma, or a comparable platform preferred
  • Banking, consumer lending, financial services, fintech, credit risk, or collections experience preferred
  • Strong communication, analytical, problem-solving, and organizational skills required
  • Must be able to sit for long periods of time
  • Must be able to work on a computer 90% of the time
  • May occasionally lift, push, or pull up to 20 pounds Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Software Engineer, ETL, Informatica 🕒 Yesterday LTHC 2 - 10 🧘 Wellness ⚽ Sports 👥 B2C Website LinkedIn All Job Openings Software Engineer developing ETL/Informatica solutions for Excellus BCBS health-plan operations. Supporting SDLC, testing, production systems, security, and cross-functional delivery. 🏢 Rochester – Onsite 💵 $60.4k - $176.9k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Analytics Engineer Cognos ETL Informatica Java JavaScript Python SDLC SQL Unix .NET Senior Data Analytics Engineer 🕒 Yesterday AeroVironment 1001 - 5000 🏭 Manufacturing 💼 Consulting 📦 Logistics Website LinkedIn All Job Openings Senior Data Analytics Engineer developing Oracle data warehouses, ETL pipelines, and Power BI analytics. Supporting AeroVironment’s autonomous defense technologies with actionable enterprise insights. 🏢 Simi Valley – Onsite 💵 $100.5k - $153.3k / year 💰 Post-IPO Equity on 2023-09 ⏰ Full Time 🟠 Senior 📊 Analytics Engineer ETL Oracle SQL Tax Innovation – Data and Analytics Engineering Manager 🕒 5 days ago PwC 10,000+ employees 💸 Finance 💼 Consulting ☁️ SaaS Website LinkedIn All Job Openings PwC Tax Manager developing AI, GenAI, and analytics engineering solutions for clients. Leading data architecture, modeling, prompt engineering, and team development. 🏢 Dallas – Onsite 💵 $99k - $266k / year 💰 Grant on 2023-09 ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Analytics Engineer 🦅 H1B Visa Sponsor Azure Python Senior Manager, Tax Innovation – Data and Analytics Engineering 🕒 5 days ago PwC 10,000+ employees 💸 Finance 💼 Consulting ☁️ SaaS Website LinkedIn All Job Openings PwC tax innovation senior manager developing AI and GenAI data solutions for clients. Leading analytics engineering, architecture, and teams to transform data into business insights. 🏢 Dallas – Onsite 💵 $124k - $335k / year 💰 Grant on 2023-09 ⏰ Full Time 🟠 Senior 📊 Analytics Engineer 🦅 H1B Visa Sponsor Azure Python Senior Analytics Engineer, Digital Technology 🕒 August 12 Aritzia 5001 - 10000 📣 Marketing 📦 Logistics 🏭 Manufacturing Website LinkedIn All Job Openings Analytics engineer developing trusted data models, semantic layers, and data products for Aritzia’s luxury fashion business. Improving reporting, governance, and decision-making across the organization. 🏢 Seattle – Onsite 💵 $100k - $300k / year ⏰ Full Time 🟠 Senior 📊 Analytics Engineer 🦅 H1B Visa Sponsor Amazon Redshift BigQuery SQL View More Analytics Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates About us Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass Resume Review AI Apply Copilot OpenClaw job finder API docs Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs