Senior Data Optimization Analyst

Senior Payments Data Optimization Analyst

Atlanta, Georgia, United States

Who are we?

Optimized Payments is the only fintech firm purpose-built to find and unlock value wherever it resides in our portfolio’s payment ecosystem. We’ve assembled a team with deep expertise across payments specialties to develop a proprietary analytics platform that finds actionable insights. We are an Atlanta based 17‑year‑old, growing, company looking for talented individuals who want to grow with us.

Our client portfolio includes Fortune 500 firms such as Apple, Staples, Safeway, Priceline, Auto Nation, and the U.S. Postal Service.

Who are you?

Are you a strategic mastermind and part organizational guru looking to join a fintech? Look no further! Optimized Payments is seeking a highly motivated and experienced Senior Payments Data Optimization Analyst to join our growing team.

OP is seeking an innovative and dedicated individual committed to both serving our customers and having fun! Driven, with an entrepreneurial spirit and a heart for fintech. We’re looking for someone who wants to make a significant impact on the Company, Clients, and your Career. At Optimized Payments, our people embrace these qualities, so if this sounds like you then please read on!

The Role:

The Senior Payments Data Optimization Analyst serves as the technical business liaison between Optimized Payments’ consulting team and internal Data Engineering and Data Science partners. The role focuses on transaction-level data, aggregated data, reporting accuracy, and performance optimization across our client base.

Approximately 75% of the role partners with technical teams on data quality, analytics, and optimization initiatives, with 25% supporting client-facing insights and consulting discussions across platforms such as Fiserv, Chase, Stripe, Adyen, Worldpay, etc.

While this is a hybrid position based in Atlanta, you will have the opportunity to work remote primarily.

Responsibilities:

• Identify, track, and elevate data discrepancies or integrity issues impacting analytics, KPIs, client reporting, and analysis.
• Support data normalization efforts of authorization, clearing, settlement, and fee data across multiple processors, gateways, and client data sources.
• Partner with data engineering teams to define data requirements, schemas, and transformation logic for payment analytics requirements and improve data pipelines.
• Contribute to and maintain documentation of data definitions, KPI logic, and calculation methodologies.
• Assist in maintaining consistent reporting standards and governance controls across clients.
• Validate reporting outputs and ensure alignment between source transaction data and downstream dashboards.
• Review source-to-target mappings, schemas, and transformations to ensure accuracy of downstream reporting.

Payments Performance & Optimization

• Analyze transaction, authorization, decline, fee, and network data to identify optimization opportunities for existing clients.
• Monitor and report on key payments KPIs (e.g., authorization rates, interchange impact, routing performance, fraud indicators).
• Develop data-driven recommendations to improve payments performance and reduce cost for our clients.
• Support testing and performance initiatives for clients (e.g., routing strategies, retry logic, tokenization adoption, configuration changes).
• Quantify impact of optimization initiatives and track performance over time.

Client Support & Insights

• Prepare client-facing reporting and performance summaries using our proprietary analytics platform.
• Translate complex payment and operational data into clear, actionable recommendations.
• Support consulting discussions with analytical context, benchmarking, and scenario modeling.

Cross-Functional Collaboration

• Partner with Technology, Data Engineering, Product, and Client teams to implement and measure optimization initiatives.
• Help define business requirements for reporting enhancements and data improvements.
• Document findings, assumptions, and measurable outcomes of optimization efforts.

Skills and

Qualifications:

• Bachelor’s degree in a related field such as Finance, Statistics, Economics, or Computer Science.
• 3–5 years of…