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Static Data Analyst Jobs (NOW HIRING)

HarbourVest

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 ...

TSMG

Mapping City/Country Expert

New York, NY · On-site

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.

TSMG

Mapping City/Country Expert

New York, NY · On-site

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.

J5 Consulting

Data & Business Analysis

Mclean, VA · On-site

... 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 ...

smart folks inc

OR · On-site

$42 - $54.75/hr

Maintain static data within the Quantum environment to ensure system integrity. * Troubleshoot, fix ... Receive, analyze, and prioritize related support tickets. * Provide timely solutions to users.

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How much do static data analyst jobs pay per year?

As of Jun 20, 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, data scientists, data engineers, and quantitative analysts. Each type focuses on different aspects of data, such as interpreting business needs, developing models, managing data infrastructure, or performing statistical analysis, often using tools like SQL, Excel, and visualization software.

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 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 like programming, statistics, and tools such as Python or R. Many professionals successfully switch careers later in life by gaining certifications and practical experience, 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.

What jobs pay 500,000 a year in the US?

In the US, highly specialized roles such as senior executives, investment bankers, and certain medical specialists can earn annual salaries of $500,000 or more. These positions often require advanced education, extensive experience, and strong industry networks, with compensation frequently including bonuses and stock options.

What jobs will boom in 2026?

In 2026, roles for Static Data Analysts are expected to grow as organizations increasingly rely on data management and automation. Skills in data visualization, SQL, and familiarity with data governance tools will be valuable, with demand driven by digital transformation across industries.
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Static Data Analyst jobs near you

Murex Backoffice

Futran Tech Solutions Pvt. Ltd.

New York, NY • On-site

Full-time

Posted 18 days ago

Job description

Hands on Murex Back Office consultant with MX3 back office project experience skilled in the integration workflows and interfaces with strong technical background
Strong in Integration skills
Configuration of Trade Validation process
Trade confirmation and matching process
Settlement Workflows
Static data and operating model
Connectivity2 Mx package interface
MxML interfaces Markitwire Interface
Integration Post Trade Services Trade Repository Payment
Knowledge on Reporting and Datamart Extractions
Technical skills SQL XML Unix Java XSLT
System and Integration Testing
Work experience in Mx 31 upgrade project is plus
3-8 years of experience
Other Murex Areas should be aware of
Functional overview on FXD FI and IRS
GOM Murex Platform
DistributionPretrade
Trade life cycle
Mx CICD Git bucket Mx Test
Bakc office

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