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Data Reconciliation Analyst Jobs (NOW HIRING)

... ledger data. You will investigate and resolve discrepancies down to the last penny, build the ... reconciliation, settlement, payment operations, accounting, or finance analytics with a Bachelor ...

Responsible for maintaining user access, data accuracy, completeness, data reconciliation, supporting reporting and analytics needs, and confirming documentation and SOPs are current. * As the HIVE ...

Sr. Data Analyst

Piscataway, NJ ยท On-site

$87K - $110K/yr

Support data reconciliation, data validation, and quality assurance activities. * Participate in ... Source data analysis * Source-to-Target Mapping (STTM) * Business rule documentation * Data ...

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Data Reconciliation Analyst information

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How much do data reconciliation analyst jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data reconciliation analyst in the United States is $31.19, according to ZipRecruiter salary data. Most workers in this role earn between $28.12 and $34.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data reconciliation analyst, and why are they important?

To thrive as a Data Reconciliation Analyst, you need strong analytical skills, attention to detail, and a background in finance, accounting, or data management, often supported by a relevant degree. Familiarity with reconciliation software, advanced Excel functions, and enterprise resource planning (ERP) systems such as SAP or Oracle is typically required. Excellent problem-solving abilities, communication skills, and the capacity to work independently make candidates stand out in this role. These competencies ensure accurate data matching, timely identification of discrepancies, and support for efficient financial operations.

What are some typical challenges data reconciliation analysts face when working with large and diverse data sources?

Data Reconciliation Analysts often encounter challenges related to integrating data from multiple systems that may use different formats, standards, or levels of data quality. Ensuring data accuracy and consistency across these sources requires keen attention to detail and strong analytical skills. Additionally, analysts may face tight deadlines and the need to troubleshoot discrepancies quickly, all while collaborating closely with IT, finance, and operations teams to resolve issues efficiently. Proficiency in reconciliation tools and clear communication with stakeholders are key to overcoming these challenges.

What is a data reconciliation analyst?

Data Reconciliation Analysts are professionals responsible for comparing and verifying data from different sources to ensure accuracy and consistency. Their main duties include identifying discrepancies, investigating the causes of mismatched records, and resolving errors to maintain data integrity. They often work with large datasets in industries such as finance, banking, or logistics, using specialized software tools to automate and streamline the reconciliation process. Strong analytical skills and attention to detail are essential in this role.

What is the difference between Data Reconciliation Analyst vs Data Analyst?

AspectData Reconciliation AnalystData Analyst
Required CredentialsBachelor's in Finance, Accounting, or related field; certifications like CPA or data analysis certificationsBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Excel or data analysis tools
Work EnvironmentFinancial institutions, accounting firms, or corporate finance departmentsVarious industries including marketing, healthcare, finance, and technology
Employer & Industry UsageUsed in finance, banking, and accounting sectors for data accuracyUsed across multiple industries for data insights and reporting

The Data Reconciliation Analyst primarily focuses on verifying and matching financial or transactional data to ensure accuracy, often within finance or accounting settings. In contrast, a Data Analyst interprets broader data sets to generate insights across various industries. While both roles require strong analytical skills, the Data Reconciliation Analyst emphasizes data accuracy and validation, whereas the Data Analyst emphasizes data interpretation and reporting.

More about Data Reconciliation Analyst jobs
What job categories do people searching Data Reconciliation Analyst jobs look for? The top searched job categories for Data Reconciliation Analyst jobs are:
Infographic showing various Data Reconciliation Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,877 per year, or $31.2 per hour.

Reconciliation & Reporting Analyst

TPI Global Solutions

Oakland, CA โ€ข On-site

Other

Posted 12 days ago


Job description

Job Description: Job Title: Reconciliation & Reporting Analyst Duration: 12+ Months contact with high possibilities for extension Location: 100% Remote Position About the role You will join the Recon and Reporting team, which owns our post-transaction systems: the platform responsible for reconciling money, tracing the end-to-end flow of funds, and meeting our tax and regulatory reporting obligations to merchants, customers, and authorities worldwide. Reconciliation and financial reporting are essential to running a payments business, and given our transaction volume, this role has direct, measurable impact on financial accuracy and trust. As an Analyst on the team, you will be the person who ensures the numbers tie out. You will reconcile card-network settlement and report files (Visa, Client, and equivalents), along with data from acquirers, processors, and banks, against our internal payment and ledger data. You will investigate and resolve discrepancies down to the last penny, build the automated reporting that finance, accounting, and business stakeholders rely on, and turn what you learn from breaks and exceptions into better metrics, controls, and tooling. Our mantra: all funds in the right place, at the right time, for the right purpose. What you'll do Execute time-sensitive daily, weekly, and monthly reconciliations between card networks, banking partners, processors, and internal transaction and ledger data to ensure data integrity across all sources. Investigate unreconciled items and discrepancies: perform root-cause analysis across network, bank, and internal data, drive corrective actions, and escalate irregularities promptly. Design, develop, and maintain automated SQL-based reconciliation and reporting solutions (e.g., break dashboards, settlement summaries, exception queues) using team best practices, with guidance and review from senior analysts. Contribute to the design of the team's success metrics (e.g., match rates, break aging, time-to-resolution, reporting SLAs) and communicate KPI results to business partners and leadership. Support month-end close: prepare reconciliation reporting, standardized summaries, and supporting documentation that feed downstream accounting, audit, and regulatory processes. Monitor daily settlement, funding, and banking activity to detect irregularities, and spot upstream data or pipeline issues that impact reconciliation and reporting data sources. Partner day-to-day with Engineering, Product, Accounting, Treasury, and Compliance: file and follow production support tickets, define business requirements for fixes and enhancements, and validate changes before deployment. Maintain clear process documentation and runbooks, identify control gaps and manual toil, and propose automation and process improvements. Handle reconciliation and reporting requests from internal stakeholders and external partners, communicating clearly with both technical and non-technical audiences. Use AI tools to explore ideas, improve speed of delivery, and deepen insights in your analytical work. Skills: (Minimum Requirements): 5+ years of related experience in reconciliation, settlement, payment operations, accounting, or finance analytics with a Bachelor's degree (Finance, Accounting, Economics, a quantitative field, or similar); or a Master's degree; or equivalent work experience. Independent proficiency in SQL, including building and maintaining automated SQL-based reporting. Strong Excel skills (complex formulas, pivot tables) and comfort working with large, messy transactional datasets. Detail-oriented "detective" mindset: demonstrated ability to research discrepancies, question the correctness and completeness of data, and follow issues through to resolution. Working knowledge of general accounting principles and the mechanics of money movement. Strong written and verbal communication skills, with the ability to present findings to both analytics peers and non-technical business stakeholders. Self-motivated and proactive; delivers accurate work on tight, recurring deadlines and proactively communicates progress, learnings, and delays. Preferred Qualifications: Prior experience with card-network reconciliation and settlement (Visa, Client, Client, Client), including network settlement, clearing, and report files. Familiarity with funds-transfer processes and rails (ACH, wire, SWIFT, RTP/FedNow) and with the payments ecosystem: merchants, acquirers, issuers, processors, and program banks. Experience with reconciliation tools, banking portals, and BI/reporting platforms (e.g., Looker, Tableau). Exposure to month-end close, interchange and fee/cost reconciliation, revenue-leakage detection, or regulatory and tax reporting. Experience supporting audits, internal controls, or SOX-adjacent processes. Curiosity about payments products and a track record of improving or automating operational processes.