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Data Reconciliation Analyst Jobs (NOW HIRING)

Jj

Revenue Reconciliation Analyst

Shepherdsville, KY · On-site

The Revenue Reconciliation Analyst is responsible for end-to-end management of revenue ... Digital and data-driven mindset, with ability to leverage tools and emerging technologies to drive ...

Hudson Data LLC

Data Quality Analyst

Trenton, NJ · On-site

Data Quality Analyst Location: Trenton, NJ Duration:12 Months contract Short Description: Seeking a ... Write complex, high-performance SQL queries for deep-dive data reconciliation, schema validation ...

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Jj

Revenue Reconciliation Analyst

Titusville, NJ · On-site

The Revenue Reconciliation Analyst is responsible for end-to-end management of revenue ... Digital and data-driven mindset, with ability to leverage tools and emerging technologies to drive ...

Jj

Revenue Reconciliation Analyst

Somerset, NJ · On-site

The Revenue Reconciliation Analyst is responsible for end-to-end management of revenue ... Digital and data-driven mindset, with ability to leverage tools and emerging technologies to drive ...

Lorven Technologies

Data Analyst

Dallas, TX · On-site

Hi, Our client is looking for an Data Analyst in Dallas, Texas location below is the detailed ... SQL knowledge which includes having very good knowledge of Data reconciliation, proficiency in SQL ...

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Data Reconciliation Analyst information

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How much do data reconciliation analyst jobs pay per hour?

As of Jul 20, 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 are Data Reconciliation Analysts?

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:
Data Reconciliation Analyst jobs near you
Infographic showing various Data Reconciliation Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $64,877 per year, or $31.2 per hour.
HIVE Data Operations Analyst

HIVE Data Operations Analyst

InstantServe LLC

Vienna, VA • On-site

Full-time

Re-posted 4 days ago

Job description

Job Description:
Detail Description:
  • 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 Data Operations Analyst, you will oversee the day-to-day operations, data reconciliation, data quality, maintenance, and optimization of Platform HIVE-managed data environments, ensuring the smooth and reliable flow of data across analytics platforms.
  • Leveraging your expertise in big data technologies, SQL, and workflow orchestration, you will coordinate a team responsible for monitoring batch jobs, resolving operational incidents, maintaining data reconciliation, checking for data completeness, data accuracy and coordinating with data management team members. You'll liaise with engineering and analytics teams to troubleshoot complex issues, ensure data integrity, and drive continuous enhancements so that HIVE data assets consistently meet business and compliance requirements.

Skills:
  • 3+ YOE
  • Analytics
  • Technical Acumen in HIVE and SQL
  • HiveQL, SQL
  • HIVE performance optimization, including data partitioning, indexing
  • Hands-on understanding of Hadoop ecosystem, including HDFS, YARN, MapReduce, Spark
InstantServe logo

About InstantServe

Sourced by ZipRecruiter

InstantServe provides a one-stop solution to all Healthcare, IT/Non-IT Staffing needs. Established in 2016, InstantServe is a strong workforce of over 100+ go-getters with a demonstrated background in IT/Non-IT service. We are a nationally certified SBE from the Department of Administration (State of PA). As a proud Minority Woman Owned Small Business Enterprise (M/WBE), InstantServe boasts of a strong team of professionals who have extensive experience catering to several Federal, Public, Commercial, and Healthcare Clients which includes 26 States and 46 government agencies. InstantServe is a client-centric organization that offers cost-effective and reliable solutions. Client satisfaction is sacrosanct! Our team strives to provide the best staffing and IT solutions to take your business to the next level.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Wayne, PA, US

Year founded

2016

Social media

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