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How much do back office operations analyst jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for back office operations analyst in the United States is $33.75, according to ZipRecruiter salary data. Most workers in this role earn between $24.04 and $40.38 per hour, depending on experience, location, and employer.

What is a back office operations analyst?

Back Office Operations Analysts are professionals who support the day-to-day administrative and operational functions within a company, typically in industries like finance, banking, or insurance. They handle tasks such as processing transactions, reconciling accounts, ensuring data accuracy, and maintaining records. These analysts work behind the scenes to ensure that business operations run smoothly, comply with regulations, and support front office teams. Their role is crucial for reducing errors, improving efficiency, and maintaining the integrity of business processes.

What are the key skills and qualifications needed to thrive as a back office operations analyst?

To thrive as a Back Office Operations Analyst, you need strong analytical skills, attention to detail, and a background in finance or business, often supported by a relevant degree. Familiarity with financial software systems, databases, and tools like Microsoft Excel, as well as knowledge of industry regulations, is typically required. Excellent organizational, problem-solving, and communication skills help analysts coordinate processes and ensure accuracy. These skills are crucial for maintaining efficient operations, minimizing errors, and supporting the overall integrity of financial transactions.

What are some common challenges faced by back office operations analysts, and how can they be effectively managed?

Back Office Operations Analysts often face challenges such as managing high volumes of transactions, ensuring data accuracy, and meeting tight deadlines. These challenges can be addressed by developing strong organizational skills, utilizing automation tools to streamline repetitive tasks, and maintaining clear communication with both internal and external stakeholders. Regular process reviews and staying updated on industry regulations also help in minimizing errors and improving operational efficiency. Proactive problem-solving and collaboration with team members are key to successfully navigating these challenges.

What is the difference between Back Office Operations Analyst vs Customer Service Representative?

AspectBack Office Operations AnalystCustomer Service Representative
Primary RoleProcesses and supports back-end operations, data management, and complianceHandles customer inquiries, provides support, and resolves issues
Required SkillsData analysis, attention to detail, knowledge of back-end systemsCommunication, problem-solving, customer service skills
Work EnvironmentOffice-based, behind-the-scenes supportFront-line, customer-facing roles
Common CertificationsNone specific, often familiarity with industry softwareCustomer service certifications (optional)

While both roles support organizational operations, the Back Office Operations Analyst focuses on processing and supporting internal functions, whereas the Customer Service Representative interacts directly with clients to address their needs. Understanding these differences helps job seekers find roles aligned with their skills and career goals.

Are back office operations analysts in demand?

Back Office Operations Analysts are in demand due to the increasing need for efficient administrative and support functions in financial institutions, healthcare, and other industries. Their skills in data management, process optimization, and familiarity with tools like Excel and ERP systems make them valuable in maintaining operational efficiency, especially as companies focus on automation and compliance.

Is a back office operations analyst entry level?

A back office operations analyst role can be entry level or require some experience, depending on the company. Entry-level positions typically require basic knowledge of financial or administrative processes and proficiency with tools like Excel, while more advanced roles may need prior experience or certifications. Job requirements vary by organization and complexity of responsibilities.
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Back Office Operations Analyst jobs near you
Infographic showing various Back Office Operations Analyst job openings in the United States as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $70,210 per year, or $33.8 per hour.

Murex Back Office Operations Analyst

New York, NY • On-site

Staffingine LLC
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Staffingine LLCexternal

Contractor

Re-posted 18 days ago

Job description

Job Title: Murex Back Office Operations Analyst 
Job Location: New York - New York 

Job Type: Contract 

Job Description:  

  • Provide functional and technical support for the Murex platform, focusing on back-office operations. 

  • Manage end-to-end trade lifecycle workflows including contract management, confirmations, settlements, and collateral. 

  • Work closely with front, middle, and back-office teams to troubleshoot issues and improve system performance. 

  • Develop and maintain MxML workflows, ensuring accuracy and reliability of data flow between systems. 

  • Utilize SQL, XSL, and data dictionary languages for reporting and troubleshooting. 

  • Support integration with third-party systems such as Swift, MarkitWire, and Margin Manager. 

  • Participate in UAT, regression testing, and release validation to ensure smooth production rollouts. 

  • Maintain comprehensive documentation of system configurations and operational procedures. 

Required Skills & Experience: 

  • 2–5 years of relevant experience in financial markets or IT business analysis. 

  • Strong functional knowledge of Murex (Back Office, Production Support, Market Data, Front Office, Risk, Collateral, Datamart). 

  • Experience working with MxML Exchange and data mapping. 

  • Solid understanding of financial instruments (FX, derivatives, fixed income, etc.) and related back-office processes. 

  • Proficiency in SQL, XSL, and data dictionary tools. 

  • Understanding of Swift message formats and financial messaging standards. 

  • Excellent analytical and problem-solving skills with attention to detail. 

Preferred Qualifications: 

  • Experience with Collateral Management, MarkitWire, or Margin Manager. 

  • Background in Murex Datamart development or reporting. 

  • Strong communication and stakeholder management abiliti