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Data Operations Assistant Jobs (NOW HIRING)

ABOUT THIS POSITION The Data Operations Analyst is responsible for ensuring the accuracy ... * Assist in providing data and documentation to support audits and internal control reviews Issue ...

ABOUT THIS POSITION The Data Operations Analyst is responsible for ensuring the accuracy ... * Assist in providing data and documentation to support audits and internal control reviews Issue ...

Operations Assistant Location: Aspen, CO 81611Objective: Xssentials is seeking an Operations ... Perform data entry and maintain accurate records in ConnectWise Software * Coordinate with ...

Perform data entry into Excel, Word, Google Workspace, and CRM system in a timely manner. * Work with Operations manager to meet budget requirements and assist gather necessary data to support budget ...

Perform data entry into Excel, Word, Google Workspace, and CRM system in a timely manner. * Work with Operations manager to meet budget requirements and assist gather necessary data to support budget ...

Perform data entry into Excel, Word, Google Workspace, and CRM system in a timely manner. * Work with Operations manager to meet budget requirements and assist gather necessary data to support budget ...

Senior Data Operations Analyst

Crum Lynne, PA · On-site

$82.10K - $103.60K/yr

Create and review reports to assess the operational health of production applications * Assist in the development and expansion of data quality programs and initiatives * Prepare and present analysis ...

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Data Operations Assistant information

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How much do data operations assistant jobs pay per hour?

As of May 30, 2026, the average hourly pay for data operations assistant in the United States is $19.82, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $22.36 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Operations Assistant, and why are they important?

To thrive as a Data Operations Assistant, you need strong analytical skills, attention to detail, and proficiency with data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with database systems, Microsoft Excel, and data management software such as SQL or CRM platforms is typically required. Excellent organizational abilities, problem-solving skills, and effective communication help you stand out in this position. These skills and qualities are crucial for ensuring data accuracy, supporting business operations, and facilitating informed decision-making.

What are some common challenges faced by Data Operations Assistants, and how can they be overcome?

Data Operations Assistants often encounter challenges such as managing large volumes of data with tight deadlines, ensuring data accuracy, and coordinating with multiple departments for seamless data flow. To overcome these, it’s important to develop strong organizational and communication skills, become proficient in data management tools, and establish clear processes for data validation. Regular collaboration with team members and proactive troubleshooting can help minimize errors and improve workflow efficiency.

What are Data Operations Assistants?

Data Operations Assistants support the management, processing, and quality control of data within an organization. They handle tasks such as data entry, updating records, verifying accuracy, and assisting with data reporting. Their role helps ensure that business data is accurate, up-to-date, and easily accessible for analysis or decision-making. They often work closely with data analysts, IT teams, or operations managers to maintain data integrity and streamline workflows.

What is the difference between Data Operations Assistant vs Data Analyst?

AspectData Operations AssistantData Analyst
Required CredentialsAssociate degree or relevant certificationsBachelor's degree in data-related fields
Work EnvironmentData entry, data management, support rolesData interpretation, reporting, analysis
Employer & Industry UsageBusinesses needing data support, administrative tasksOrganizations analyzing data for insights
Search & Comparison IntentUnderstanding support roles in data managementAnalyzing data to inform decisions

The Data Operations Assistant primarily handles data entry, management, and support tasks within organizations, often requiring an associate degree or relevant certifications. In contrast, a Data Analyst focuses on analyzing data, creating reports, and deriving insights, typically holding a bachelor's degree. While both roles work with data, the Assistant supports data workflows, whereas the Analyst interprets data for strategic purposes.

More about Data Operations Assistant jobs
What cities are hiring for Data Operations Assistant jobs? Cities with the most Data Operations Assistant job openings:
What are the most commonly searched types of Data Operations jobs? The most popular types of Data Operations jobs are:
What states have the most Data Operations Assistant jobs? States with the most job openings for Data Operations Assistant jobs include:
What job categories do people searching Data Operations Assistant jobs look for? The top searched job categories for Data Operations Assistant jobs are:
Infographic showing various Data Operations Assistant job openings in the United States as of May 2026, with employment types broken down into 2% As Needed, 71% Full Time, 23% Part Time, and 4% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $41,222 per year, or $19.8 per hour.
Data Operations Specialist

Data Operations Specialist

Patientco

Atlanta, GA • On-site

Full-time

Medical, Retirement, PTO

Posted 9 days ago


Job description

ABOUT THIS POSITION

The Data Operations Analyst is responsible for ensuring the accuracy, completeness, and integrity of payment funding and settlement across Waystar's Payment Facilitator ecosystem. This role focuses on reconciling financial transactions between the company (PayFac), its customers, third-party payment partners, and bank deposits.
They also investigate the various data integrity issues that may exist for a payment transaction that did not successfully settle. Waystar is looking for a Data Operations Analyst to join our Payment Operations team, who will serve as a critical control point for identifying, investigating, and resolving discrepancies in payment activity at both the batch and transaction level.
The ideal candidate brings strong analytical skills, a deep understanding of data
relationships, and the ability to translate complex payment flows into actionable
insights. A strong technical aptitude and background in data is required for this role, including familiarity with best practices for data hygiene. We are looking for someone who has independent judgement making skills and the ability to work on a wide variety of tasks under limited supervision. If you have 1-2 years of experience in data analytics or accounting, as well as a familiarity with
standard concepts, practices, and procedures within the data sector, then this is a perfect role for you!

WHAT YOU'LL DO

Account Reconciliation & Financial Accuracy

  • Perform daily reconciliation of transaction-level activity to settlement reports, funding files, and bank deposits
  • Validate the completeness and accuracy of funds flow between:
  • o Customers o Payment processors / vendors o Internal systems o Bank accounts
  • Investigate and resolve discrepancies across payment lifecycle stages (authorization, capture, settlement, funding)
  • Reconcile variances at both summary and detailed transaction levels, ensuring alignment across systems
  • Support month-end close by ensuring all payment-related activity is accurately reconciled and variances are resolved or appropriately documented
  • Ensure completeness and accuracy of financial data in alignment with internal reporting requirements Data Analysis & Reporting
  • Leverage advanced Excel capabilities (pivot tables, lookups, nested formulas, etc.) to analyze large datasets and reconcile financial data
  • Ensure alignment between subledger activity and summarized financial reporting
  • Translate transaction-level data into meaningful insights that support financial accuracy and operational decision-making
  • Develop and enhance reporting to improve visibility into reconciliation performance and trends
  • Assist in providing data and documentation to support audits and internal control reviews Issue Identification & Root Cause Analysis
  • Proactively identify anomalies or breaks in reconciliation processes
  • Analyze discrepancies to determine root cause across systems, vendors, or process failures
  • Own issues from identification through resolution, including validation of fixes
  • Escalate systemic issues where appropriate and partner with internal teams to implement long-term solutions Cross-Functional Partnership
  • Work closely with Accounting to ensure accurate financial reporting and alignment on reconciled balances
  • Partner with Product, Engineering, and Payment Operations teams to resolve discrepancies and improve system accuracy
  • Communicate findings clearly to both technical and non-technical stakeholders

WHAT YOU'LL NEED

  • Advanced proficiency in Microsoft Excel (pivot tables, XLOOKUP/VLOOKUP, SUMIFS, data manipulation)
  • Demonstrated ability to work with large datasets and reconcile detailed transactional data to summary financials
  • Strong analytical and problem-solving skills with high attention to detail
  • Ability to independently investigate issues and drive resolution
  • Effective communication skills with the ability to collaborate cross-functionally
  • Experience in payments, fintech, or high-volume transaction environments
  • Bachelor's degree or equivalent experience strongly desired
  • 2-3 2-5+ years of experience in accounting, reconciliation, audit, or financial operations
  • Effective verbal and written communication skills, must be able to confidently communicate with peers, leaders and clients
  • Flexible workstyle - able to work collaboratively in a team environment

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.