Aperia · 14 hours ago
Data Analyst – Merchant Solutions
Alpharetta, GA
Full-time
Onsite
Mid Level
3+ years expAperia Solutions is a leader in SaaS solutions for the Payments and Compliance industries, seeking a highly analytical Data Analyst to support their SMB Retention & Engagement efforts. This role involves owning data and reporting to drive merchant targeting and engagement strategies across various channels.
Information ServicesInformation TechnologySoftware
No H1B
Responsibilities
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 workstreams 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 appropriate analytical methods (e.g., hypothesis testing, regression, uplift modeling, time-series approaches) to evaluate program impact
Partner with cross-functional teams to define success metrics and attribution logic
Conduct deep-dive analyses on churn drivers, behavioral patterns, channel performance, and campaign effectiveness
Translate complex analytical findings into clear, actionable recommendations
Qualification
Required
Bachelor's degree in business, finance, analytics, engineering, or a related field—or equivalent experience
3+ years of experience in data analytics, business intelligence, or statistical analysis
Strong SQL skills and experience working with large, complex, siloed datasets
Proficiency with BI tools (Looker, Tableau, Power BI, or similar)
Solid grounding in statistics, including: experimental design (A/B tests, randomized trials), hypothesis testing and statistical significance, regression modeling and causal inference, confidence intervals and variance estimation
Ability to present complex data in a clear, concise, and actionable manner
Demonstrated ability to break down ambiguous problems into structured components
Excellent communication and presentation skills
Experience working in fast-paced, matrixed environments
Preferred
Master's degree in Data Science, Statistics, Analytics, Economics, or a related quantitative field
Experience in fintech, payments, SaaS, or lifecycle/CRM programs is a plus, in a role supporting small businesses is a bonus
Experience building predictive models (e.g., churn prediction, propensity scoring, uplift models)
Familiarity with experimentation platforms or statistical libraries (e.g., scikit‑learn, statsmodels, R)
Experience working with marketing automation, CRM, or lifecycle engagement tools
Benefits
Health insurance
Health savings account
Dental insurance
Vision insurance
401(k) matching
Life insurance
Paid time off
Parental leave
Disability insurance
Childcare assistance
Education reimbursement
Fitness membership
Volunteer time off
Company
Aperia
Your success is our objective.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
M
Michael Keirnan
CFO
Company data provided by crunchbase