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Senior Data Associate Jobs (NOW HIRING)

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data ... EMC Data Science Associate (EMCDSA) * Cloudera Certified Data Scientist (CCDH) / Certified Cloud ...

Clinical Data Associate

Redmond, WA · On-site

$75K - $95K/yr

The Clinical Data Associate (CDA) supports the Clinical Data Manager in executing data management ... senior data management staff. This role is full-time onsite in Redmond, WA. Please note that ...

Clinical Data Associate

Redmond, WA · On-site

$75K - $95K/yr

The Clinical Data Associate (CDA) supports the Clinical Data Manager in executing data management ... senior data management staff. This role is full-time onsite in Redmond, WA. Please note that ...

Data Senior Associate-Risk Systems

Cincinnati, OH · On-site

$82K - $104K/yr

Fifth Third Bank Data Senior Associate-Risk Technology ABOUT THE ROLE: The Data Associate role is an intermediate individual contributor role supporting the -Risk Systems & AI Transformation Team.

Senior Data Scientist Senior Data Scientist Who are we? Versant Health is one of the nation ... As a Versant Health associate, you can enjoy a comprehensive Total Rewards package, which includes ...

Senior Data Scientist Senior Data Scientist Who are we? Versant Health is one of the nation ... As a Versant Health associate, you can enjoy a comprehensive Total Rewards package, which includes ...

Senior Data Analyst

Washington, DC · On-site

$97K - $122K/yr

Scott & Associates (KLSA) is a mission-driven management and technology consulting firm that ... Senior Data Analyst The Senior Data Analyst will serve as a senior technical and analytical ...

Senior Data Scientist

Colorado Springs, CO · On-site

$135K - $210K/yr

Job Title Senior Data Scientist Location Colorado Springs, CO 80910 US (Primary) Category Intelligence Job Type Full-Time Career Level Staff Education Associate Degree Travel Security Clearance ...

Senior Procurement Data Associate

Coppell, TX · On-site

$14.75 - $19.25/hr

The Senior Procurement Data Analyst is responsible for accurately analyzing and collecting data and ... Communicates the results of data analysis in written and verbal form to the Associate Director ...

Senior Associate, Data Architect

Huntsville, AL

$62.75 - $83.75/hr

Senior Associate, Data Architect Job Code: 40398 Job Location:Huntsville, AL Job Schedule: 9/80: Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off The ...

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Senior Data Associate information

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

Senior Data Associates typically do not earn $200,000 annually; however, senior roles in data science, analytics, or engineering with advanced skills, certifications, and experience can reach or exceed this salary level. High-paying roles often require expertise in programming, statistical analysis, and familiarity with tools like SQL, Python, or cloud platforms, along with leadership responsibilities or specialized knowledge.

What is the highest salary for a senior data analyst?

The highest salary for a senior data analyst can reach up to $100,000 to $130,000 annually, depending on factors such as industry, location, experience, and company size. In some regions and specialized sectors, salaries may exceed this range, especially for those with advanced skills in data visualization, SQL, and statistical analysis.

What is the difference between Senior Data Associate vs Data Analyst?

AspectSenior Data AssociateData Analyst
Required CredentialsBachelor's degree in data-related field; experience in data managementBachelor's degree in statistics, data science, or related field; analytical skills
Work EnvironmentData teams within corporate or research settings, often supporting data operationsBusiness or research environments analyzing data to inform decisions
Employer & Industry UsageUsed in finance, healthcare, tech companies for data support rolesCommon across industries for data interpretation and reporting

The main difference is that Senior Data Associates focus on managing and supporting data processes, while Data Analysts primarily interpret data to generate insights. Senior Data Associates often handle data quality and operations, whereas Data Analysts focus on analysis and reporting.

Is 40 too late for data science?

Age is not a barrier to becoming a senior data associate or entering data science. Many professionals transition into data roles later in their careers by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through online courses or certifications. Success depends on your ability to learn and adapt, not age.

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

To thrive as a Senior Data Associate, you need expertise in data analysis, data management, and a solid understanding of database systems, often supported by a degree in statistics, computer science, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau is typically required. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and collaborating with stakeholders. These skills ensure accurate data insights, drive informed business decisions, and facilitate efficient teamwork within data-driven organizations.

What does a data associate do?

A senior data associate is responsible for collecting, organizing, and analyzing large datasets to support business decisions. They often use tools like Excel, SQL, or data visualization software and ensure data accuracy and integrity in their work environment.

What are Senior Data Associates?

Senior Data Associates are experienced professionals who manage, analyze, and interpret large datasets to support business decision-making. They are responsible for data cleaning, validation, and organization, as well as designing and implementing data collection processes. Senior Data Associates often collaborate with data scientists, analysts, and other stakeholders to ensure data accuracy and accessibility. Their role typically requires strong analytical skills, attention to detail, and proficiency in data management tools and programming languages such as SQL or Python.

How do Senior Data Associates typically collaborate with cross-functional teams within an organization?

Senior Data Associates often work closely with teams such as engineering, product management, and business analytics to ensure data integrity and support organizational goals. They are responsible for translating business requirements into data solutions, managing data pipelines, and providing actionable insights. Regular communication and collaboration are essential, as they often participate in meetings to discuss project progress, data quality issues, and upcoming analytical needs. This cross-functional interaction not only enhances the impact of their work but also fosters a collaborative, learning-oriented environment.
More about Senior Data Associate jobs
What cities are hiring for Senior Data Associate jobs? Cities with the most Senior Data Associate job openings:
What are the most commonly searched types of Senior Data jobs? The most popular types of Senior Data jobs are:
What states have the most Senior Data Associate jobs? States with the most job openings for Senior Data Associate jobs include:
Infographic showing various Senior Data Associate job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

$91K - $114K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago


Job description

Data Intelligence LLC
Job Openings >> Senior Data Analyst
Senior Data Analyst
Summary
Title: Senior Data Analyst ID: 1592 Location: Quantico, VA
More about this job >
Description

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data analytics, statistical modeling, and integration of data-driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring deep expertise in data science methodologies, software integration, and scalable analytics architectures.

Key Responsibilities

  • Develop, implement, and maintain advanced data science and analytics solutions
  • Design and execute data analysis workflows using statistical and mathematical modeling techniques
  • Build and manage ETL pipelines for ingesting, transforming, and delivering structured and unstructured data
  • Develop and integrate APIs and data services to support enterprise analytics platforms
  • Perform software integration and testing, including development and execution of test plans and scripts
  • Utilize Python, R, and other scripting languages for data analysis and automation
  • Apply data mining, graph algorithms, and statistical techniques to support mission objectives
  • Work with SQL and NoSQL databases, search indexes, and web application servers
  • Leverage tools such as Jupyter Notebook, Pandas, NumPy, Requests, and related data science libraries
  • Create data visualizations and dashboards using spreadsheets and other tools
  • Collaborate with cross-functional teams to deliver scalable and secure analytics solutions

Required Qualifications

  • Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field
  • Minimum 10 years of professional experience in data science or advanced analytics
  • Experience with software integration or testing, including analyzing and implementing test plans and scripts
  • Strong experience with scripting languages such as Python and R
  • Experience with data science, data mining, statistics, and graph algorithms
  • Proficiency with SQL, NoSQL, API development, ETL pipelines, web application servers, and search indexing technologies
  • Experience using tools and frameworks such as:
    • Python, Jupyter Notebook, Pandas, NumPy, Requests
  • Strong foundation in complex mathematical and statistical concepts
  • Experience applying statistical analysis and operations research methodologies
  • Proficiency in data manipulation and visualization using spreadsheets and related tools

Certifications (Preferred)
One or more relevant industry certifications, such as:

  • CompTIA Cloud Essentials, CompTIA A+, CompTIA Security+
  • Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE
  • Certificate of Cloud Security Knowledge (CCSK)
  • EMC Data Science Associate (EMCDSA)
  • Cloudera Certified Data Scientist (CCDH) / Certified Cloud Professional (CCP)
  • Certified Apache Hadoop Developer (HCAHD) / Cloudera Certified Administrator for Apache Hadoop (CCAH)
  • Certified Information Systems Security Professional (CISSP)

About Data Intelligence, LLC:

Data Intelligence, LLC (DI) is a small business that provides Information Technology System Development (Agile, DevSecOps, Cloud Platform support) Cybersecurity (RMF, Security Engineering, Cross Domain Solutions), Tactical Data Link Standards Development and Testing, and Logistics/Warehousing services to U.S. federal clients both CONUS and OCONUS. DI consistently demonstrates exceptional customer service, maintains an employee-centric culture, and delivers hands-on technical expertise to help our clients achieve their mission.

Since 2005, DI has successfully provided IT Systems Engineering, Software Development, Cybersecurity, and supporting solutions and services to customers that include the Department of Defense, Intelligence, and Federal Civilian clients. Current clients include the US Navy, Air Force, Army, Marine Corps, Coast Guard, National Geospatial-Intelligence Agency, Defense Logistics Agency, and The Department of Homeland Security. DI is headquartered in Marlton, New Jersey, with satellite offices in California, Maryland, Ohio, Pennsylvania, Virginia, and Washington, D.C.

Why you should join us:

Data Intelligence offers competitive salaries, comprehensive benefits, a team-oriented environment, and opportunities for advancement. Our excellent employee retention record reflects our employee focus. We work with Veteran's organization to proactively hire those who have served our country. We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.

Apply Now
 
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