2

Remote Fbi Data Analyst Jobs in Missouri (NOW HIRING)

ABOUT THE ROLE The Data Scientist is a key driver of innovation, transforming data into actionable ... analytical solutions This position offers the opportunity to work fully remote within the United ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$81K - $111K/yr

As a Senior Data & Analytics Engineer, you'll take end-to-end ownership of a modern data platform and business intelligence layer within a fully remote, international environment. You'll help ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Are you early in your actuarial career and excited to turn data into meaningful business insights? MEM Insurance is seeking an Actuarial Analyst to join our growing Finance team. In this role, you ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

Remote. While this is a remote position, occasional on-site attendance may be required as business ... This role is well suited for someone who enjoys working with data, solving complex business ...

Experience with geospatial data analysis, remote sensing, satellite imagery processing and deep learning for statistical modeling. Experience with big data technologies and cloud-based data platforms ...

Showing results 21-40

Remote Fbi Data Analyst information

What is a remote FBI data analyst?

Remote FBI Data Analysts are professionals who work for the Federal Bureau of Investigation and specialize in collecting, processing, and interpreting data to assist in investigations and operations. They perform their duties from locations outside of traditional FBI offices, often using secure digital platforms to access sensitive information. These analysts help identify patterns, trends, and connections in large data sets to support law enforcement cases, national security efforts, and intelligence analysis. Their work is crucial for making informed decisions and advancing the FBI's mission while allowing for flexible work arrangements.

How does a remote FBI data analyst typically collaborate with on-site teams while working offsite?

Remote FBI Data Analysts frequently collaborate with on-site teams through secure digital communication platforms, such as encrypted video conferences and secure data-sharing tools. They participate in regular virtual meetings to discuss case progress, share analytical findings, and coordinate investigative strategies. Effective remote analysts proactively communicate and document their work to ensure seamless integration with field agents, supervisors, and other analysts. Building strong working relationships and maintaining clear channels of communication are essential to overcome the challenges of remote work in a high-security environment.

What are the key skills and qualifications needed to thrive as a remote FBI data analyst, and why are they important?

To thrive as a Remote FBI Data Analyst, you need strong analytical skills, attention to detail, and a degree in fields like criminal justice, statistics, or computer science. Familiarity with data analysis software (such as SQL, Python, or SAS), federal security protocols, and potentially a Top Secret security clearance is typically required. Exceptional critical thinking, clear communication, and integrity are important soft skills for interpreting sensitive data and collaborating across remote teams. These skills and qualities are vital to ensure the accurate analysis of intelligence, support national security objectives, and maintain the confidentiality of investigations.

What is the difference between Remote Fbi Data Analyst vs Remote Cybersecurity Data Analyst?

AspectRemote Fbi Data AnalystRemote Cybersecurity Data Analyst
Required CredentialsBachelor's in Criminal Justice, Data Analysis certificationsBachelor's in Cybersecurity, Data Analysis certifications
Work EnvironmentGovernment agencies, law enforcementTech companies, cybersecurity firms
Employer & IndustryFederal government, law enforcementPrivate sector, cybersecurity industry
Common Search & ComparisonYesYes

The main difference between a Remote Fbi Data Analyst and a Remote Cybersecurity Data Analyst lies in their focus and work environment. Fbi Data Analysts work primarily within government agencies analyzing criminal or intelligence data, while Cybersecurity Data Analysts focus on protecting digital assets in private or public tech sectors. Both roles require strong data analysis skills and relevant certifications, but their industry applications and daily tasks differ significantly.

What are the most commonly searched types of Fbi Data Analyst jobs in Missouri?

The most popular types of Fbi Data Analyst jobs in Missouri are:

What are popular job titles related to Remote Fbi Data Analyst jobs in Missouri?

For Remote Fbi Data Analyst jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Remote Fbi Data Analyst jobs?

Cities in Missouri with the most Remote Fbi Data Analyst job openings:

Data Scientist

Enterprise Holdings

Saint Louis, MO • On-site, Remote

Full-time

Re-posted 27 days ago


Enterprise Holdings rating

7.1

Company rating: 7.1 out of 10

Based on 268 frontline employees who took The Breakroom Quiz

117th of 177 rated vehicle equipment hire


Job description

Overview
ABOUT THE COMPANY
Enterprise Mobility is a leading provider of mobility solutions, owning and operating the Enterprise Rent-A-Car, National Car Rental and Alamo Rent A Car brands through its integrated global network of independent regional subsidiaries. Enterprise Mobility and its affiliates offer extensive car rental, carsharing, truck rental, fleet management, retail car sales, as well as travel management and other transportation services, to make travel easier and more convenient for customers.
Privately held by the Taylor family of St. Louis, Enterprise Mobility together with its affiliate Enterprise Fleet Management manages a diverse fleet of 2.4 million vehicles and accounted for nearly $39 billion in revenue through a network of more than 9,500 fully-staffed neighborhood and airport rental locations in more than 90 countries and territories.
As we continue to build a team that drives us forward, we are excited to announce the opening for a Data Scientist.
ABOUT THE ROLE
The Data Scientist is a key driver of innovation, transforming data into actionable insights that improve business processes. In this role, you'll develop cutting-edge analytical products-creating algorithms for automation, building predictive models, designing experiments, and applying causal inference techniques to observational data. You'll also harness mathematical optimization to identify the most profitable business strategies. Success in this position requires strong collaboration with both technical and non-technical teams to ensure the creation, delivery, and adoption of impactful analytical solutions
This position offers the opportunity to work fully remote within the United States (except for Alaska and/or Hawaii). Team members who choose virtual / remote work should have an adequate space to serve as their home office, and must be able to work a schedule within U.S. Central Standard Time core business hours This position will require employees to come on site to one of our St. Louis campus locations a few times per year for meetings/events or as needed. #LI-REMOTE
We are committed to a fair and transparent hiring process. Candidates should expect identity verification, video interviews, technical validation of skills, and verification of employment, education, and work authorization. Falsification of information, proxy interviewing, or misrepresentation of experience or location will result in disqualification.
Responsibilities
As a Data Scientist focused on revenue management, you will design and deploy advanced deep learning models to forecast demand. These models will enable branch-level decision-making, helping maximize revenue by leveraging historical trends and predictive analytics. In this role, you will collaborate closely with cross-functional teams to develop and implement analytical solutions that drive measurable business impact.
  • Collaborate with the team to design and deliver analytical solutions that drive business impact
  • Extract, clean, and manipulate structured and unstructured data from multiple sources
  • Perform exploratory data analysis to identify patterns, trends, and insights
  • Develop predictive models to support data-driven decision-making
  • Design and oversee experiments, ensuring accurate execution and interpretation of results
  • Apply causal inference techniques using observational data to uncover relationships
  • Prepare and deliver clear documentation of methodologies, findings, and recommendations
  • Create and present insightful reports and presentations for technical and non-technical audiences
  • Partner with cross-functional teams to implement and operationalize analytical solutions

Equal Opportunity Employer/Disability/Veterans
Qualifications
Required:
  • Must be presently authorized to work in the U.S. without a requirement for work authorization sponsorship by our company for this position now or in the future
  • Must reside in the United States (does not include Alaska or Hawaii)
  • Must be able to work a schedule within U.S. Central Standard Time core business hours.
  • Must have a Master's Degree in a Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)
  • Must have two (2+) years of experience with predictive models, statistical inference and deep learning
  • Must have experience using libraries like tensorflow or pytorch
  • Must have experience preparing and giving presentations to technical and non-technical audiences
  • Must have proficiency in R or Python
  • Must be committed to incorporating security into all decisions and daily job responsibilities

Preferred:
  • Doctorate Degree in a Statistical or Mathematical field (e.g. Engineering, Social Science, or Statistics)
  • Experience designing experiments
  • Experience exploring and visualizing data
  • Experience using Linux/Unix
  • Experience using SQL
  • Experience working with data (merging, recording, etc.) from a variety of sources/formats
  • Experience working with observational data to attempt causal inference (e.g. matching, weighting, etc.)

What Enterprise Holdings employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom