Sr Marketing Analyst

Regional Management Corp.; United States; On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Comprehensive medical

Dental

Vision plan

401k plans with a company match

PTO and paid holidays

Paid parental leave

Employee assistance program for mental

Job summary

Regional Finance is seeking a Senior Marketing Analyst to turn complex marketing and customer data into growth strategies for our personal loan business. You will own analytics across direct mail, digital, affiliate leads, and lifecycle programs, building data products and measurement frameworks with cross-functional partners.

You will develop reproducible workflows in Python and SQL, use Snowflake and Sigma, and mentor analysts while presenting insights to senior leaders.

Qualifications

• Bachelor’s degree in analytics, statistics, data sciences, economics, finance, marketing, computer science, information systems, or a related quantitative field
• Four or more years of progressively responsible experience in marketing analytics, customer analytics, risk analytics, data science, or a related discipline
• Advanced SQL and strong Python skills for data manipulation, automation, statistical analysis, visualization, and production-quality workflows; experience with Git-based version control and code review.
• Demonstrated experience working with large, complex datasets in a modern cloud data platform such as Snowflake or a comparable environment.
• Strong grounding in experimental design, causal thinking, inferential statistics, forecasting, segmentation, and predictive modeling.
• Experience developing governed dashboards and decision tools in Sigma or comparable business-intelligence platform.
• Strong working knowledge of approved generative-AI tools for coding, analytics, research, documentation, workflow automation, and quality assurance, including prompt design, output validation, hallucination detection, privacy safeguards, and responsible-use practices.
• Ability to understand lending economics and connect marketing decisions to approval, funding, revenue, credit loss, lifetime value, contribution margin, and return on capital.
• Excellent written and verbal communication skills, with demonstrated ability to influence business partners and present complex analysis to senior leaders.
• High standards for accuracy, documentation, reproducibility, data stewardship, and independent judgment in a regulated environment.

Responsibilities

• Own end-to-end measurement and optimization of campaigns across direct mail, digital, affiliate, email, and retention channels.
• Build segmentation and targeting recommendations using diverse data sources.
• Develop reproducible production workflows leveraging Python and SQL to score audiences and generate forecasts.
• Establish automated quality controls, reconciliations, peer-review checks, and audit trails for campaigns and files.
• Measure the full customer lifecycle and translate findings into strategy changes.
• Design and evaluate A/B and multivariate tests; determine sample sizes and significance.
• Analyze funnels and partner performance; adjust pricing, bids, routing, and spend.
• Create and maintain dashboards and executive reporting in Python or Sigma.
• Collaborate with Snowflake and data-engineering partners to improve data models and self-service analytics.
• Build, validate, monitor, and explain predictive models for response and profitability; work with Credit Risk.
• Perform geographic and market-potential analysis to support branch territories and new markets.
• Use generative-AI assistants to accelerate coding, testing, and documentation.
• Identify automation opportunities to reduce cycle time and manual effort.
• Present insights to senior leaders with clear distinction of facts and uncertainties.
• Mentor analysts and promote reusable code and disciplined analytics practices.

Skills

Advanced SQL

Python

Snowflake

Marketing analytics

Data visualization

Experiment design

AI tools (Claude)

Communication

Education

Bachelor’s degree

Equivalent experience

Tools

Git

Sigma

dbt

Job description

Take your career to the next level! In the last few years our goal has been expansion, creating growth opportunities for many of our team members. Not only are we serious about growth, but we are also serious about helping our customers during hard financial times. We take pride in providing solutions and offering a helping hand, not only to our customers but also to the communities we serve. As we continue to expand and grow into a national leader in consumer financing, we invite you to consider joining our team. If you'\'re passionate about making a meaningful impact in people's lives and bringing a personal touch to finance, we\'d love to have you on board!

Job Purpose

The Senior Marketing Analyst turns complex market, customer, credit, campaign, and operational data into profitable growth strategies for our personal loan business. This role owns advanced analytics across direct mail, prequalified offers, digital and affiliate leads, and customer lifecycle programs; builds reliable data products and measurement frameworks; and partners with Credit Risk, Finance, Operations, Compliance, and Technology to improve acquisition economics, credit quality, customer experience, and return on capital. The analyst is expected to work independently, automate repeatable processes, communicate clearly with senior leaders, and use modern AI tools responsibly to accelerate coding, analysis, documentation, and insight generation without compromising accuracy, privacy, security, or regulatory obligations.

Duties and Responsibilities

• Own end-to-end measurement and optimization of direct-mail, prequalified, digital, affiliate, email, and retention campaigns using response, conversion, booked volume, cost per booked loan, lifetime value, net credit loss, contribution margin, and return-on-capital metrics.
• Build customer and prospect segmentation, targeting, offer, channel, and contact-strategy recommendations using credit-bureau, first-party, digital, geographic, and operational data.
• Develop reproducible production workflows leveraging Python, AI tools like Claude, and SQL to score audiences, apply eligibility and suppression rules, assign offers and branches, create mail and lead files, and generate selection waterfalls and forecasts.
• Establish automated quality controls, reconciliations, peer-review checks, documentation, and audit trails so every campaign population, exclusion, offer, and downstream file is complete, accurate, explainable, and reproducible.
• Measure the full customer lifecycle—including application, approval, funding, renewal, retention, delinquency, loss, and profitability—and translate findings into changes to targeting, pricing, offers, and channel strategy.
• Design and evaluate champion/challenger tests, holdouts, A/B and multivariate experiments; determine sample sizes; quantify incrementality and statistical significance; and recommend scalable actions.
• Analyze digital and affiliate funnels from lead through funded loan, identify conversion and credit-performance drivers, evaluate partner quality, and recommend changes to filters, pricing, bids, routing, and spend.
• Create and maintain trusted dashboards, scorecards, forecasting tools, and executive reporting in Python, Sigma, or comparable platforms, with governed definitions and drill-down capability.
• Work with cloud data platforms such as Snowflake and with data-engineering partners to improve data models, lineage, quality, accessibility, and self-service analytics.
• Build, validate, monitor, and explain predictive models for response, conversion, propensity, attrition, and profitability; partner with Credit Risk on the appropriate use of risk, fraud, and pricing models.
• Perform geographic and market-potential analysis to support branch territories, digital lead routing, expansion, consolidation, and new-market planning while applying consistent, documented criteria.
• Use approved generative-AI assistants and agentic workflows to accelerate coding, testing, data preparation, research, documentation, reporting, and scenario analysis.
• Identify and implement automation opportunities that reduce cycle time and manual effort.
• Present concise, decision-ready insights to senior leaders and cross-functional partners, clearly distinguishing facts, assumptions, uncertainty, risks, and recommended actions.
• Mentor analysts, promote reusable code and disciplined analytics practices, and continuously evaluate emerging data, cloud, visualization, and AI capabilities.

Minimum Qualifications

• Bachelor’s degree in analytics, statistics, data sciences, economics, finance, marketing, computer science, information systems, or a related quantitative field; equivalent relevant experience may be considered.
• Four or more years of progressively responsible experience in marketing analytics, customer analytics, risk analytics, data science, or a related discipline, including ownership of complex analyses from question through recommendation.
• Advanced SQL and strong Python skills for data manipulation, automation, statistical analysis, visualization, and production-quality workflows; experience with Git-based version control and code review.
• Demonstrated experience working with large, complex datasets in a modern cloud data platform such as Snowflake or a comparable environment.
• Strong grounding in experimental design, causal thinking, inferential statistics, forecasting, segmentation, and predictive modeling.
• Experience developing governed dashboards and decision tools in Sigma or comparable business-intelligence platform.
• Strong working knowledge of approved generative-AI tools for coding, analytics, research, documentation, workflow automation, and quality assurance, including prompt design, output validation, hallucination detection, privacy safeguards, and responsible-use practices.
• Ability to understand lending economics and connect marketing decisions to approval, funding, revenue, credit loss, lifetime value, contribution margin, and return on capital.
• Excellent written and verbal communication skills, with demonstrated ability to influence business partners and present complex analysis to senior leaders.
• High standards for accuracy, documentation, reproducibility, data stewardship, and independent judgment in a regulated environment.

Preferred Qualifications

• Experience in consumer finance, personal lending, credit cards, fintech, or other financial-services environment.
• Hands-on experience with direct-mail prescreen or prequalification programs, credit-bureau data, firm-offer campaign controls, suppression logic, and mail-house or fulfillment partners.
• Experience with digital lead generation, affiliate marketplaces, web analytics, attribution, funnel optimization, and marketing-partner performance management.
• Experience with machine-learning techniques and libraries such as pandas, numpy, Polars, scikit-learn, XGBoost, or comparable tools; familiarity with model monitoring, explainability, and governance.
• Experience with dbt, orchestration tools, APIs, CI/CD, data catalogs, or automated testing within an analytics engineering environment.
• Experience with geospatial analysis, market sizing, branch or territory optimization, and fair-lending-aware geographic methodologies.
• Experience creating semantic models, executive dashboards, and self-service reporting in Sigma, a comparable platform.
• Graduate degree or relevant certification in analytics, data sciences, statistics, computational finance, finance, computer science or AI is a plus.

Equal Opportunity Statement

Regional is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, national origin, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, transgender status, age, disability, genetic information, veteran status, uniform service, or any other characteristic protected by applicable law ("Protected Characteristics"). Regional’s policy of non-discrimination applies to all phases of the employment process and relationship, including, but not limited to, recruitment and selection; compensation and benefits; professional development and training; promotions and opportunities; transfers; social and recreational programs; layoff; and terminations.

Company Overview

Founded in 1987, Regional Finance provides services to 500,000 plus customers annually and provides employment for over 2000 team members and growing. We place an emphasis on making a meaningful difference in peoples’ lives by bringing a personal touch to finances and a commitment to diversity, equity, and inclusion that creates a work environment where all employees have a sense of belonging. Team members will have an incredible benefits package, including but not limited to a comprehensive medical, dental, and vision plan, 401k plans with a company match, and PTO and paid holidays. At Regional Finance, we care about each other, our customers, and our communities and look for each Team Member’s strengths to meet our shared goals.

Benefits

• comprehensive medical
• dental
• vision plan
• 401k plans with a company match
• PTO and paid holidays
• paid parental leave
• employee assistance program for mental health and counseling

California Privacy Notice

If you are a job applicant who resides in the state of California, please review our California Employee Privacy Policy at the following link: https://regionalfinance.com/wp-content/uploads/2022/11/UPDATED-Employee-Privacy-Policy-11.2022.pdf

Notice to California Applicants Regional Management Corp. ("Regional Management", "we", "our", or "us") respects the privacy of our employee's personal information. Pursuant to the California Consumer Privacy Act ("CCPA"), as amended by the California Privacy Rights Act of 2020 ("CPRA"), we are required to provide California employees and job applicants with a privacy policy that contains a comprehensive description of our online and offline practices regarding our collection, use, sale, sharing, and retention of their personal information as well as a description of the rights they have regarding their personal information. This Privacy Policy provides the information the CCPA requires as well as other useful information regarding our collection and use of employees and job applicants’ personal information. If you are a job applicant who resides in the states of California, please review our California Employee Privacy Policy by clicking on the following link: California Employee Privacy Policy