Accounting Data Analyst

REPAY

Atlanta (GA)

On-site

USD 70,000 - 110,000

Full time

14 days+

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Benefits offered by this job

100% coverage of employee healthcare
401(k) employer match
Employee Stock Purchase Plan
Annual Bonus Program
Casual dress code and snacks

Job summary

REPAY, a leading fintech in Atlanta, seeks an Accounting Data Analyst to automate billing, journaling, and reporting, connecting Accounting with IT and other departments. You will design scalable workflows, analyze data, and implement ML-driven improvements to forecasting and anomaly detection.

Strong communication and independent work style are needed. Ideal candidates have 3+ years in accounting and data analytics, with experience in RPA, Python/SQL, and ERP systems.

Qualifications

  • Bachelor’s degree in Accounting, Finance, Data Analytics, Computer Science, or related field.
  • Master’s degree in Data Analytics, Statistics, Computer Science, or related field, or equivalent experience.
  • 3+ years hands-on accounting experience including journal entries, reconciliations, and financial reporting.
  • 3+ years in a data analyst or similar analytical role.
  • Experience with process automation tools such as RPA, workflow platforms, or Python/SQL scripting.
  • Working knowledge of machine learning concepts and their application to data and automation.
  • Self-starter who can work independently to identify problems and drive solutions.
  • Strong analytical, organizational, and problem-solving skills.
  • Excellent communication skills to explain technical concepts to non-technical stakeholders.
  • Experience with AI tools and platforms is a plus.

Responsibilities

  • Lead automation of billing, journal entries, reconciliations, and recurring reporting.
  • Identify manual accounting workflows and design automated solutions using data systems and scripting.
  • Build and maintain automated workflows moving data between accounting and other areas.
  • Collaborate with IT and Accounting leadership to evaluate, implement, and optimize automation tools.
  • Document automated processes and ensure controls for accuracy and auditability.
  • Analyze accounting data to identify trends and opportunities for improvements.
  • Develop dashboards and reporting tools for leadership with timely insights.
  • Apply machine learning techniques to improve forecasting and anomaly detection.
  • Serve as liaison between accounting and other departments to streamline data handoffs.
  • Train and support accounting team members on new tools and automated processes.

Skills

Accounting experience
Data analysis
Automation tooling
Python
SQL
RPA

Education

Bachelor’s degree in Accounting/Finance/Data Analytics/CS
Master’s degree in Data Analytics/Statistics/CS

Tools

ERP systems
Databases
Scripting languages

Job description

ABOUT REPAY

REPAY (“Realtime Electronic Payments” / NASDAQ TICKER: RPAY) is an established and fast-growing publicly traded financial technology and payment processing company headquartered in Atlanta, Georgia, with offices across the country. REPAY enables its customers to accept payments anytime, anywhere, and through any channel while providing a secure, seamless, and enjoyable payment experience for the end consumers. REPAY offers a comprehensive suite of electronic payment and funding solutions, including debit and credit card processing, ACH processing, Instant Funding, and electronic bill payment systems with full IVR, text, and mobile capabilities. The scalability of its products allows merchants of all sizes to add an instant arsenal of intelligent payment technology solutions to their businesses without significant development costs or infrastructure investments.

Position Summary

The Accounting Data Analyst leads process automation across the accounting function, driving efficiency by automating billing, reporting, journal entries, and other recurring accounting processes. This role also builds automated workflows that connect Accounting with other departments across REPAY, reducing manual handoffs and improving data accuracy and speed across the organization.

This position is ideal for a self-starter who can work independently to identify automation opportunities, prioritize them, and see them through to completion with minimal oversight. The ideal candidate combines real-world accounting experience with strong technical skills across data systems and machine learning and is comfortable partnering with both Accounting and technical teams to design and implement scalable solutions.

Key Responsibilities
Process Automation & Systems
  • Lead the automation of billing, journal entries, reconciliations, and recurring reporting processes across the accounting function.
  • Identify manual, repetitive accounting workflows and design automated solutions using available data systems, scripting, and workflow automation tools.
  • Build and maintain automated workflows that move data and outputs between accounting and other areas of REPAY, reducing manual handoffs and errors.
  • Partner with IT and Accounting leadership to evaluate, implement, and optimize systems and tools that support automation and data integrity.
  • Document automated processes and establish controls to ensure accuracy, auditability, and compliance with accounting policies and procedures.
Data Analysis & Reporting
  • Analyze accounting data to identify trends, discrepancies, and opportunities for process improvement.
  • Develop dashboards and reporting tools that provide Accounting and Finance leadership with timely, accurate insights.
  • Apply machine learning and data science techniques, where appropriate, to improve forecasting, anomaly detection, and reporting efficiency.
Cross-Functional Collaboration
  • Serve as a liaison between accounting and other departments to streamline data handoffs and eliminate manual intervention.
  • Work independently to identify automation opportunities across the organization, prioritize initiatives, and drive them to completion with minimal oversight.
  • Train and support accounting team members on new tools, systems, and automated processes.
Qualifications
  • Bachelor’s degree in Accounting, Finance, Data Analytics, Computer Science, or a related field.
  • Master’s degree in Data Analytics, Statistics, Computer Science, or a related field, or equivalent work experience.
  • Minimum of 3+ years of hands‑on accounting experience, including journal entries, reconciliations, and financial reporting.
  • Minimum of 3+ years of experience in a data analyst or similar analytical role.
  • Strong understanding of accounting policies, procedures, and internal controls.
  • Proficiency working with a variety of data systems, databases, and ERP/accounting platforms.
  • Experience with process automation tools, such as RPA, workflow automation platforms, or scripting languages (e.g., Python, SQL).
  • Working knowledge of machine learning concepts and their application to data and process automation.
  • Self-starter who can independently identify problems, design solutions, and drive projects to completion with minimal supervision.
  • Strong analytical, organizational, and problem‑solving skills.
  • Excellent communication skills, with the ability to explain technical concepts to non‑technical stakeholders.
  • Experience with AI tools and platforms is a plus.
WHY JOIN REPAY.… BECAUSE CULTURE IS EVERYTHING
GROWTH & PEOPLE-CENTERED LEADERSHIP

As the industry‑leading financial technology provider in the Consumer Finance and Business to Business spaces, we continue to set the standard for application development and delivery. In 2019, REPAY became a public company listed on the Nasdaq Stock Market (RPAY). For the past three consecutive years, we have placed on the ACG® Atlanta Georgia Fast 40, a list recognizing the top 40 fastest‑growing middle‑market companies in Georgia. REPAY’s leadership empowers each team member to make a difference and stretch to their fullest potential. Our dedication to frequent, transparent communication is shown with companywide meetings where our leaders share company vision and encourage employees to ask questions.

FUN WORK ENVIRONMENT & GREAT TEAMS

We offer it all: business to casual dress, great snacks & beverages, and open‑air collaborative team settings.

REPAY has been certified as a Great Place to Work® company for 2017, 2018, 2019, 2020, 2021, and 2022. The REPAY team is fun, smart, collaborative, and truly enjoys working together. Making a difference in our local communities – we support several philanthropic initiatives every year to give back to our local communities. We are self‑driven, motivated professionals who do not require micro‑management to ensure we produce high quality and timely work.

INNOVATION & EDUCATION

We create highly sophisticated payment processing applications and are always pushing the boundaries of what is possible. We are constantly revolutionizing the industry by building on new ideas from clients and employees. We provide the resources necessary to ensure new innovations can develop quickly and with quality. We encourage continuing education, including professional conferences and events.

PUTTING OUR PEOPLE FIRST

We believe our people are the best, and we care immensely about their success.

Benefits
  • 100% coverage of employee healthcare premiums
  • life insurance
  • disability insurance
  • work‑life balance resources
  • 401(k)-employer match
  • Employee Stock Purchase Plan
  • Annual Bonus Program
  • business to casual dress, great snacks & beverages, and open‑air collaborative team settings
  • support several philanthropic initiatives every year to give back to our local communities
  • continuing education, including professional conferences and events

REPAY’s core values are Excellence, Passion, Innovation, Respect, and Integrity.

REPAY is an Equal Opportunity Employer and we promote a company culture where diversity, equity and inclusion are central. We are committed to build our teams and grow a company in which employees can succeed, regardless of race, color, national origin, sex, sexual orientation, gender identity or expression, transgender status, pregnancy, religion, age (40 and over), disability, service in the uniformed services, protected veteran status, genetic information, or any other classification protected by federal, state or local law. Celebrating our diverse backgrounds, views and beliefs allows us to embrace what makes us unique and continue to innovate and push the boundaries of what is possible.

We are interested in every qualified candidate who is eligible to work in the United States. This position is not eligible for hire in California. Additionally, we are not able to sponsor visas.

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