Data Analyst – Merchant Solutions
Listed on 2026-02-16
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Security
Aperia Solutions is a Texas-based fintech and managed consultancy specializing in SaaS solutions for Payments and Compliance. Founded in 1999, Aperia serves banks, processors, payment facilitators, merchant service providers, independent sales organizations, and government entities with business intelligence, risk management, compliance, and customer intelligence platforms.
About the RoleWe are seeking a highly analytical Data Analyst to support SMB Retention & Engagement. This role is part of the SMB Business Transformation organization and will own the data, reporting, segmentation, and statistical measurement needed to execute our retention and engagement roadmap across digital and traditional outreach channels. You will build the analytical foundation that drives merchant targeting, offer adoption, channel optimization, and program scaling.
This is a high-impact role supporting cross-functional partners in Product, Customer Support/Ops, Sales, and Data Science.
- Own and maintain all datasets supporting SMB retention and engagement initiatives
- Develop scalable data models for merchant cohorts, lifecycle stages, churn indicators, and offer eligibility
- Build dashboards and reporting for all program work streams and deliver weekly/monthly reporting for leadership and operational teams
- Develop merchant selection, segmentation, eligibility criteria, prioritization rules, and ranking frameworks for all retention and engagement campaigns
- Collaborate with cross-functional teams to refine offer strategy through data-driven insights
- Design statistically rigorous test vs. control frameworks for campaigns and lifecycle interventions
- Apply analytical methods (e.g., hypothesis testing, regression, uplift modeling, time-series) to evaluate program impact
- Define success metrics and attribution logic with cross-functional partners
- Conduct deep-dive analyses on churn drivers, behavioral patterns, channel performance, and campaign effectiveness
- Translate complex analytical findings into clear, actionable recommendations
- Bachelor’s degree in business, finance, analytics, engineering, or related field—or equivalent experience
- 3+ years of experience in data analytics, business intelligence, or statistical analysis
- Strong SQL skills and experience with large, complex datasets
- Proficiency with BI tools (Looker, Tableau, Power BI, or similar)
- Solid grounding in statistics, including experimental design (A/B tests), hypothesis testing, regression modeling and causal inference, confidence intervals
- Ability to present complex data in a clear, actionable manner
- Ability to break down ambiguous problems into structured components
- Excellent communication and presentation skills
- Experience working in fast-paced, matrixed environments
- Master’s degree in Data Science, Statistics, Analytics, Economics, or related quantitative field
- Experience in fintech, payments, SaaS, or lifecycle/CRM programs is a plus, especially supporting small businesses
- Experience building predictive models (e.g., churn prediction, propensity scoring, uplift models)
- Familiarity with experimentation platforms or statistical libraries (e.g., scikit-learn, stats models, R)
- Experience with marketing automation, CRM, or lifecycle engagement tools
- Must be willing to submit to a background investigation and drug test as part of the selection process
- This position is not eligible for visa sponsorship. Applicants must have authorization to work in the country without sponsorship
- Full-Time
- Monday to Friday
- Health insurance
- Health savings account
- Vision insurance
- 401(k) matching
- Life insurance
- Paid time off
- Parental leave
- Disability insurance
- Fitness membership
- Volunteer time off
Equal Employment Opportunity:
Aperia is an equal opportunity employer and does not discriminate on the basis of any protected status.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).