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Static Data Analyst Jobs (NOW HIRING)

Data Operations Analyst

Chicago, IL · On-site

$75K - $95K/yr

... of static and time-series data across applications. • follow, document and review standard ... perform business analysis and define requirements for data management processes and system ...

New

Analysis and resolution of incidents in the different Business Areas FO MO Risks * Request management and monitoring of the registration of static and market data with the different areas of the bank.

Treasury Associate

Boston, MA · Hybrid

$85K - $90K/yr

The ideal candidate is analytical, organized, diligent, and able to thrive in a fast-paced ... Static Data Management * Input static data into Treasury Workstation as part of the rotation for ...

Perform market comparison analysis of the features, data or issues related to local transit ... Make necessary edits for all transit data types if the provided static data is not accurate.

Perform market comparison analysis of the features, data or issues related to local transit ... Make necessary edits for all transit data types if the provided static data is not accurate.

... is analyzed to generate static and dynamic reports and infographics used to derive business ... Demonstrated experience using Excel and Tableau to perform data analysis, to include writing ...

... is analyzed to generate static and dynamic reports and infographics used to derive business ... Demonstrated experience using Excel and Tableau to perform data analysis, to include writing ...

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Static Data Analyst information

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$34K

$82.6K

$136K

How much do static data analyst jobs pay per year?

As of Jul 11, 2026, the average yearly pay for static data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data engineers, who prepare and manage data infrastructure; data scientists, who develop models and advanced analytics; and operations analysts, who optimize processes using data insights. Each type requires different skills, tools, and focus areas within the data analysis field.

Are data analysts still in demand?

Data analysts are currently in high demand across many industries due to the increasing reliance on data-driven decision making. Skills in SQL, Excel, and data visualization tools like Tableau or Power BI enhance employability, and the role is expected to grow as organizations prioritize analytics for competitive advantage.

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

To thrive as a Static Data Analyst, you need strong analytical skills, attention to detail, and a degree in finance, business, or a related field. Familiarity with financial data management systems, advanced Excel, and database tools such as SQL is commonly required. Effective communication, problem-solving abilities, and organizational skills help you manage large volumes of static data and collaborate with cross-functional teams. These skills are crucial for maintaining data accuracy, supporting business operations, and minimizing financial risk.

What jobs pay 200,000 a year in the USA?

For a Static Data Analyst, reaching a $200,000 annual salary typically requires extensive experience, advanced skills in data management and analysis, and often senior or specialized roles. High-paying positions may also involve leadership responsibilities, working in industries like finance, technology, or consulting, and may require certifications such as CFA or advanced degrees.

What are static data analysts?

Static data analysts are professionals responsible for managing and maintaining reference data—also known as static data—in financial institutions and other organizations. This data includes information that does not change frequently, such as client details, security identifiers, and account information. Their main role is to ensure the accuracy, consistency, and integrity of this data across various systems, supporting efficient operations and regulatory compliance. They work closely with other departments to resolve data discrepancies and implement data quality controls.

What is the difference between Static Data Analyst vs Dynamic Data Analyst?

AspectStatic Data AnalystDynamic Data Analyst
CredentialsBachelor's degree in Data Science, Statistics, or related field; proficiency in SQL and ExcelSame as Static Data Analyst, often with additional skills in real-time data tools
Work EnvironmentOffice-based, working with stored, historical dataOffice or remote, working with real-time or streaming data
Industry UsageFinance, healthcare, marketing, where historical data analysis is keyIT, e-commerce, telecommunications, focusing on live data monitoring

Static Data Analysts focus on analyzing stored, historical data to identify trends and insights, while Dynamic Data Analysts work with real-time data streams to monitor ongoing processes. Both roles require similar skills and credentials but differ in their data types and work environments.

Is 40 too late for data science?

A Static Data Analyst can transition into data science at any age, including 40, especially with relevant skills in programming, statistics, and tools like Python or R. Many professionals successfully switch careers later in life by gaining certifications, building portfolios, and continuous learning, making age less of a barrier in the field.

What are some common challenges faced by Static Data Analysts when maintaining large datasets, and how can they be addressed?

Static Data Analysts often encounter challenges such as ensuring data accuracy, managing frequent updates, and maintaining consistency across multiple systems. These issues can be addressed by implementing rigorous data validation processes, establishing clear data governance policies, and regularly coordinating with both internal teams and external vendors. Utilizing automation tools for data entry and updates can also help minimize errors and improve efficiency, allowing analysts to focus on higher-level data management and analysis tasks.
More about Static Data Analyst jobs
What cities are hiring for Static Data Analyst jobs? Cities with the most Static Data Analyst job openings:
Infographic showing various Static Data 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 $82,640 per year, or $39.7 per hour.
Data Operations Analyst

Data Operations Analyst

UBS

Chicago, IL • On-site

$75K - $95K/yr

Full-time

Posted 2 days ago

New


Job description

Your role
Are you curious about how financial instruments, benchmarks and indices are used across the Asset Management lifecycle? Are you organised, detail-oriented and motivated by analytical challenges? We're looking for someone who can:
• support daily and periodic index calculation, validation and distribution activities, including benchmark setup, maintenance, reconciliation and deactivation, in line with agreed service level agreements (SLAs) across the full lifecycle.
• respond to internal queries to clarify, verify, reconcile and control security, index, benchmark and performance data, ensuring completeness, accuracy and timeliness.
• control, analyse, calculate and maintain systems and databases to ensure the accuracy and integrity of static and time-series data across applications.
• follow, document and review standard operating procedures to ensure they remain fit for purpose and aligned with operational requirements.
• perform business analysis and define requirements for data management processes and system workflows.
• support user acceptance testing (UAT) and production releases, working closely with data vendors, operations teams and stakeholders to resolve data issues and meet SLA commitments.
Join us
At UBS, we know that it's our people, with their diverse skills, experiences and backgrounds, who drive our ongoing success. We're dedicated to our craft and passionate about putting our people first, with new challenges, a supportive team, opportunities to grow and flexible working options when possible. Our inclusive culture brings out the best in our employees, wherever they are on their career journey. And we use artificial intelligence (AI) to work smarter and more efficiently. We also recognize that great work is never done alone. That's why collaboration is at the heart of everything we do. Because together, we're more than ourselves.
We're committed to disability inclusion and if you need reasonable accommodation/adjustments throughout our recruitment process, you can always contact us.
Disclaimer / Policy statements
UBS is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills and experiences within our workforce.
Your team
You will be part of the Data Services team within Asset Management - Group Operations, aligned to traditional operations. In this role, you will support the team's day-to-day processes, including the delivery of timely, accurate and complete benchmark, index and analytics data to the UBS Asset Management Division, in line with defined requirements.
Team provides 24/7 coverage to ensure uninterrupted support and assistance to the asset management division. Team members are based in Chicago, Zurich, Krakow, Singapore, and Pune
Your expertise
• a university degree, ideally in Business Management, Finance or Information Technology.
• strong knowledge of securities, pricing, indices, fixed income analytics, asset classes and financial instruments.
• solid experience in reconciliation, root cause analysis, complex issue resolution and documenting findings clearly.
• strong written and verbal communication skills in English, with the ability to explain both technical and non-technical topics to stakeholders.
• working knowledge of leading market data platforms such as Rimes, Bloomberg, ICE and Refinitiv.
• proficiency in data analysis and manipulation tools, including Excel, VBA, macros, SQL and ETL tools such as Alteryx.
• basic scripting knowledge, such as Python or Shell, to support automation initiatives.
• ideally, exposure to tools such as Power BI, SimCorp Dimension, Power Automate and other Power Apps.
• ideally, familiarity with index licensing and vendor management.
About us
UBS is a leading and truly global wealth manager and the leading universal bank in Switzerland. We also provide diversified asset management solutions and focused investment banking capabilities. Headquartered in Zurich, Switzerland, UBS is present in more than 50 markets around the globe.
We know that great work is never done alone. That's why we place collaboration at the heart of everything we do. Because together, we're more than ourselves. Want to find out more? Visit ubs.com/careers.
How we hire
We may request you to complete one or more assessments during the application process. Learn more
Salary information
The indicative gross base salary range as a full-time equivalent role:
• United States - Illinois - Chicago min USD 75000 - max USD 95000 /annum
The expected salary for this role will be determined by relevant factors which may include but are not limited to, role-required experience, qualifications, education, location and skill level. UBS offers a range of competitive benefits and for further information, please visit ubs.com/employee-benefits. We may, at our sole discretion, provide additional variable compensation or awards.

UBS Financial Services logo

About UBS Financial Services

Sourced by ZipRecruiter

UBS is the world's largest and only truly global wealth manager. We operate through four business divisions: Global Wealth Management, Personal & Corporate Banking, Asset Management and the Investment Bank. Our global reach and the breadth of our expertise set us apart from our competitors. With more than 70,000 employees, we have a presence in all major financial centers in more than 50 countries. Do you want to be one of us?

Industry

Securities, commodity contracts, and financial investments

Company size

10,000+ Employees

Headquarters location

Weehawken, NJ, US