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Contractual Quantitative Data Analyst Jobs (NOW HIRING)

Data Analyst

Washington, DC ยท On-site

$48.07 - $52.88/hr

The Quantitative Data Analyst helps with the interpretation, implementation, analysis, and visualization of large amounts of data within OCIO into more readable formats for customer personnel and our ...

Data Analyst Job Location: Indianapolis IN, 46204 Job Location: Hybrid Contract Duration: 11 Months ... and quantitative data. โ€ข Working knowledge of MS Office Suite including Excel, Word, and ...

Data Analyst The Opportunity: As a data analyst, you love diving into data and turning it into ... Establish quantitative and qualitative metrics and key performance indicators to drive technical ...

Data Analyst

Honolulu, HI ยท On-site

$77K - $176K/yr

Data Analyst The Opportunity: As a data analyst, you love diving into data and turning it into ... Establish quantitative and qualitative metrics and key performance indicators to drive technical ...

Data Analyst

Honolulu, HI ยท On-site

$77K - $176K/yr

As a data analyst, you love diving into data and turning it into meaningful insights. With the ... Establish quantitative and qualitative metrics and key performance indicators to drive technical ...

As a data analyst, you love diving into data and turning it into meaningful insights. With the ... Establish quantitative and qualitative metrics and key performance indicators to drive technical ...

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Contractual Quantitative Data Analyst information

See salary details

$56.5K

$133.9K

$240K

How much do contractual quantitative data analyst jobs pay per year?

As of Jun 14, 2026, the average yearly pay for contractual quantitative data analyst in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

Is 30 too late for data science?

For a Contractual Quantitative Data Analyst, starting a career in data science at age 30 is feasible, as many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience or certifications. Age is less important than skill development and practical knowledge in this competitive field.

Can I freelance as a data analyst?

Contractual quantitative data analysts can freelance by offering their skills in data cleaning, analysis, and reporting to clients on a project basis. Successful freelancing typically requires strong proficiency in tools like Excel, SQL, or Python, and the ability to manage multiple clients and deadlines independently.

Is AI replacing data analysts?

AI is automating certain tasks within the role of a contractual quantitative data analyst, such as data cleaning and basic analysis, but it does not fully replace the need for human expertise in interpreting complex data, making strategic decisions, and understanding context. Data analysts who develop skills in machine learning tools and programming languages like Python or R can leverage AI to enhance their work, but human judgment remains essential for nuanced insights. The role continues to evolve alongside technological advancements, emphasizing the importance of adaptability and continuous learning.

Is a quant analyst a high paying job?

A quantitative data analyst often earns a competitive salary, especially in finance and technology sectors where specialized skills in statistical analysis, programming, and data modeling are valued. Salaries can vary based on experience, location, and industry, but the role is generally considered well-paying compared to many entry-level positions.

What is the difference between Contractual Quantitative Data Analyst vs Data Scientist?

AspectContractual Quantitative Data AnalystData Scientist
CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysis toolsBachelor's or Master's in Data Science, Computer Science, or related; often advanced certifications
Work EnvironmentProject-based, contractual roles within finance, marketing, or consulting firmsResearch and development settings, tech companies, or large enterprises
Employer & Industry UsageUsed by companies needing short-term data analysis projectsUsed for developing models, predictive analytics, and machine learning

While both roles involve data analysis, Contractual Quantitative Data Analysts focus on short-term, project-specific tasks using statistical tools, whereas Data Scientists develop complex models and algorithms for long-term insights. The roles differ mainly in scope, skill depth, and employment type.

More about Contractual Quantitative Data Analyst jobs
What cities are hiring for Contractual Quantitative Data Analyst jobs? Cities with the most Contractual Quantitative Data Analyst job openings:
What are the most commonly searched types of Quantitative Data Analyst jobs? The most popular types of Quantitative Data Analyst jobs are:
What states have the most Contractual Quantitative Data Analyst jobs? States with the most job openings for Contractual Quantitative Data Analyst jobs include:
Infographic showing various Contractual Quantitative Data Analyst job openings in the United States as of June 2026, with employment types broken down into 6% Internship, 82% Full Time, 6% Part Time, 2% Temporary, and 4% Contract. Highlights an 86% In-person, 2% Hybrid, and 12% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.
Data Analyst

Full-time

Posted 15 days ago


Job description

Work Location & Eligibility: This position is fully on-site in Dallas, Texas and is not eligible for remote work. Relocation assistance is not available. Applicants must be authorized to work in the United States without current or future employer sponsorship.
Improved data gathering and analysis is a priority for the Perot Museum in helping to understand visitor behavior and expectations, donor priorities, and trends in education. As a member of the Insights and Analytics team, the Data Analyst is responsible for overseeing the accuracy of the museum's data, creating readily accessible dashboards and key performance metrics, providing participation data needed in grant applications and other fundraising initiatives, and forecasting program participation. In addition, the Data Analyst will work closely with other teams in the organization's maintenance of its data. Critical to the success of this role is the ability to build strong, cooperative working relationships with stakeholders as well as the ability to communicate clearly and understandably.
Essential Duties & Responsibilites
  • Develop accurate internal dashboards and contribute to the development of metrics
  • Serve as a collaborative thought partner with departments across the museum to provide data/information and analysis helpful to improved management of their areas
  • Respond promptly to ad-hoc requests in an effective manner
  • Provide accurate data for Board meetings and other internal meetings
  • Work closely with I.T. team and implementation partners in process development within systems
  • Evaluate quantitative and qualitative survey results and lead as well as aid in the development of surveys

Supervisory Responsibilites - No.
Required Education, Experience & Skills
  • Bachelor's degree in data analytics, mathematics, business or related field
  • Minimum of 4 years of experience as a data analyst or related experience
  • Ability to operate independently in a fast-paced environment, balance multiple priorities, and manage projects with multiple stakeholders of various levels of the organization
  • Proficient in using Microsoft technology such as Outlook, Excel, Word and PowerPoint as well as database management including SQL or SQL-like languages
  • Excellent verbal and written communication skills with ability to communicate with all levels of the organization
  • Demonstrated effective problem-solving, quantitative data analysis, and qualitative data analysis skills
  • Demonstrated effective collaboration across departments and teams
  • Experience identifying and adapting imperfect data as well as reverse engineering dashboards and analyses
  • Intermediate Level Tableau and Tableau Prep skills

Preferred Experience
  • Experience in a museum or non-profit organization preferred
  • Salesforce and/or Ticketure experience preferred
  • Advanced Level Tableau skills
  • Tableau Certification

Essential Functions
While performing the duties of this position, the employee will be required regularly to:
  • Sit for extended periods of time while utilizing resource materials such as computer and project management tools

While performing the duties of this position, the employee will be frequently required to:
  • Communicate on the telephone and via video calls
  • Additionally, there may be occasional light lifting of boxes and other materials of 20 lbs. or less.

There will be periodic times during the year where extended standing is required
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Disclaimer
  • The job description is designed to indicate the general duties and level of work to be performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties and responsibilities required of employees assigned to this job.
  • This position is fully on-site and not eligible for remote or hybrid work. Relocation assistance is not provided. The Perot Museum of Nature and Science does not sponsor employment visas, and applicants must be authorized to work in the United States without employer sponsorship now or in the future.