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Static Data Analyst Jobs (NOW HIRING)

Staffingine LLC

Murex FO Support

New York, NY · On-site

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

ITech Recruiting

Applications Support

New York, NY

First Line Support Analyst A position exists for an experienced administrator to fill a First Line ... static data and reports • Production of support statistics • Support call monitoring • ...

Staffingine LLC

Murex consultant

New York, NY · On-site

$80 - $90/hr

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

Omni Inclusive

Endur Business Analyst

Passaic, NJ

... and static data, settlements desk top, DMS and report builder etc. 10+ years of Endur/ETRM ... Strong experience in IT consulting and business analysis - business process definition ...

HarbourVest Partners, LLC

Treasury Associate

Boston, MA · On-site

$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 ...

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 ...

Staffingine LLC

Product Manager ION (Murex)

New York, NY · On-site

$80 - $90/hr

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.

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

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.

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Static Data Analyst information

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How much do static data analyst jobs pay per year?

As of Jun 21, 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

Multi-GNSS Data Analyst

Science Systems & Applications

Lanham, MD • On-site

$80K - $105K/yr

Full-time

Posted 16 days ago

Job description

Science Systems and Applications, Inc (SSAI) is seeking an experienced and skilled Multi-GNSS Data Analyst. The successful candidate will be responsible for processing, analyzing, and validating Multi-GNSS data in support of precision positioning, navigation, and timing (PNT) applications. This role requires deep technical expertise in GNSS measurement processing, error modeling, and geospatial data analysis, with a strong focus on delivering high-accuracy positioning solutions for scientific and engineering applications.

Key Responsibilities:

GNSS Data Processing & Analysis

  • Process raw Multi-GNSS observations using precise point positioning (PPP), Post-Processed Kinematic (PPK), reduced dynamic, differential, undifferenced, and relative positioning techniques
  • Perform static, kinematic, and reduced dynamic Multi-GNSS data processing for ground-based, spaceborne, and airborne platform precise positioning and clock solutions including GNSS space vehicles, ground stations, and LEO geodetic satellites
  • Perform Multi-GNSS data processing in support of Earth Orientation Parameter (EOP) and reference frame solutions
  • Application and improvement of corrections for tropospheric delay, ionospheric delay, multipath, and other systematic error sources
  • Conduct integer ambiguity resolution to achieve centimeter-level positioning accuracy

Quality Assessment & Validation

  • Assess Multi-GNSS solution quality using statistical metrics, residual analysis, and independent validation datasets
  • Identify and mitigate systematic errors, outliers, and data gaps in Multi-GNSS observations
  • Compare Multi-GNSS-derived positions against ground truth and independent reference datasets
  • Document data quality issues and develop strategies for improvement

Integration & Geolocation

  • Integrate GNSS and IMU/INS data for precise platform positioning and attitude determination
  • Support geolocation of remote sensing data including laser altimeter measurements

Software & Tool Development

  • Develop, maintain, and improve GNSS data processing scripts and workflows using PERL, Fortran, C, Python, and similar languages
  • Work with Multi-GNSS processing software such as GIPSY-OASIS, BERNESE, and GEODYN
  • Automate data processing pipelines to handle large volumes of Multi-GNSS observations efficiently
  • Contribute to the development of data processing documentation and standard operating procedures

Collaboration & Communication

  • Collaborate with multidisciplinary teams including scientists, engineers, and project managers
  • Present technical results and findings to both technical and non-technical audiences
  • Contribute to technical reports, peer-reviewed publications, and conference presentations
  • Participate in field campaigns and provide on-site GNSS data collection support as needed

Required Qualifications:

  • Bachelor’s (B.S.) degree in Aerospace Engineering, Geodesy, Geomatics, Electrical Engineering, Physics, Computer Science, or a related field.
  • Minimum 5 years of experience in GNSS data processing and analysis.
  • Strong understanding of GNSS measurement models, error sources, and correction techniques.
  • Proficiency in at least one GNSS processing software package (e.g., GIPSY, BERNESE).
  • Experience with kinematic GNSS processing for spaceborne and airborne or mobile platforms.
  • Proficiency in Python, MATLAB, or C++ for data analysis and automation.
  • Familiarity with geodetic reference frames, coordinate systems, and datum transformations.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills.
  • U.S. Citizenship or Permanent Residency required.

Desired Qualifications

  • Master's or Ph.D. in Geodesy, Geomatics, Navigation, Aerospace Engineering or a closely related field.
  • Experience with kinematic and reduced dynamic Precise Orbit Determination (POD) for spaceborne GNSS receivers.
  • Experience with precise positioning and clock solutions for GNSS space vehicles and ground stations.
  • Experience with Post-Processed Kinematic (PPK), Precise Point Positioning (PPP).
  • Experience with integer ambiguity resolution techniques.
  • Experience supporting airborne or spaceborne remote sensing missions.
  • Knowledge of satellite gravimetry and laser altimetry.
  • Familiarity with IMU/INS integration and tightly/loosely coupled GNSS/INS processing.
  • Active participation in the geodetic or GNSS research community (publications, conferences).


EEO/AA Veterans and Individuals with Disabilities

Physical Requirements: While performing the duties of this job, the employee is regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. The employee frequently is required to talk and hear and occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, peripheral vision, depth perception and the ability to adjust focus