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Entry Level Data Analyst Jobs in Crestview, FL (NOW HIRING)

High-Speed Systems Engineer

Shalimar, FL · On-site

$57K - $104K/yr

... data analytics, cybersecurity, logistics, training, and intelligence analysis and operations ... Dual majors and aerospace backgrounds encouraged. * Entry-level to early career. Candidates with 0 ...

Entry Level Data Analyst information

See Crestview, FL salary details

$11

$27

$52

How much do entry level data analyst jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for entry level data analyst in Crestview, FL is $27.83, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $31.11 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
What are the most commonly searched types of Data Analyst jobs in Crestview, FL? The most popular types of Data Analyst jobs in Crestview, FL are:
What cities near Crestview, FL are hiring for Entry Level Data Analyst jobs? Cities near Crestview, FL with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Crestview, FL as of July 2026, with employment types broken down into 83% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 8% Hybrid, and 10% Remote job distribution, with an average salary of $57,889 per year, or $27.8 per hour.

High-Speed Systems Engineer

Leidos

Shalimar, FL • On-site

$57K - $104K/yr

Full-time

Posted 8 days ago


Leidos rating

8.4

Company rating: 8.4 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

67th of 488 rated business services


Job description

Looking for an opportunity to make an impact?

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainably. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

Your greatest work is ahead!

Leidos' Defense Systems Advanced Development Organization is seeking an entry-level to early career systems engineer specializing in Value-Driven Design (VDD), Model-Based Systems Engineering (MBSE), and parametric lifecycle modeling to support a classified, highspeed system portfolio. The successful candidate will apply digital engineering frameworks to capture stakeholder requirements and translate mission-critical engineering parameters into structured architecture baselines that feed decisionquality trade studies.

If this sounds like the kind of environment where you can thrive, keep reading!

Leidos Defense Systems Sector provides a diverse portfolio of systems, solutions, and services covering land, sea, air, space, and cyberspace for customers worldwide. Solutions for Defense include enterprise and mission IT, large-scale intelligence systems, command and control, geospatial and data analytics, cybersecurity, logistics, training, and intelligence analysis and operations support. Our team is solving the world's toughest security challenges for customers with "can't fail" missions. To explore and learn more, click here!

Are you ready to make an impact? Share your resume with us today!

Primary Responsibilities.

  • Draft and maintain EARSformatted requirement statements and attributes; produce requirementtoverification traceability and test artifacts (procedures, reports).
  • Create and maintain SysML MBSE artifacts including Logical, Physical, and Allocative architecture views; document allocations of performance, cost, reliability, and verification to physical elements.
  • Build and maintain parametric manufacturing and O&S models (Excel/Python/MATLAB) to quantify lifecycle impacts of design alternatives and support sensitivity analysis.
  • Produce trade studies, decision briefs, and internal white papers that quantify warfighter utility and lifecycle cost/benefit.
  • Support integration, verification planning, and mapping of verification activities to requirements; participate in test planning and reporting.
  • Operate effectively in a matrixed environment; transition between programs as required.
  • Work full time onsite in a controlled area; comply with SCIF and program security procedures; travel approximately one week per quarter.

Basic Qualifications.

  • BS in Systems, Aerospace, Mechanical, Electrical, Industrial, Computer Engineering, Physics, or related STEM discipline from an ABETaccredited institution (or equivalent). Dual majors and aerospace backgrounds encouraged.
  • Entry-level to early career. Candidates with 0+ years of experience are appropriate; hiring band flexible for recent graduates with strong artifacts.
  • U.S. Citizen eligible for TopSecret clearance; willing to accept TS sponsorship at hire. (Position requires ability to obtain and maintain required clearance.)
  • Familiarity with SysML concepts and MBSE principles; basic scripting or modeling in Python or MATLAB; demonstrated technical writing ability.
  • Able to perform in a collaborative, multidisciplinary engineering environment and communicate effectively.
  • Travel: 10-20% travel, remainder will be onsite.

Preferred Qualifications.

  • Coursework or project experience in highspeed dynamics, aerothermodynamics, propulsion, instrumentation, or related aerospace topics.
  • Exposure to Cameo/MagicDraw, DOORS, SIMIO, or other MBSE and requirements tools.
  • Experience with parametric cost modeling, Monte Carlo or sensitivity analysis.
  • ASEP/INCOSE or OMG SysML training (funded/reimbursed by employer is acceptable).
  • Prior internship or capstone work producing requirements, MBSE views, or lifecycle models.
  • Familiarity with DoD acquisition lifecycle and program processes.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:July 23, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $57,850.00 - $104,575.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.


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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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