1

Hybrid Analyst Jobs (NOW HIRING)

Financial Analyst

Lewis Center, OH · On-site

$50K - $60K/yr

Hybrid Digital is an eCommerce apparel company located in Lewis Center. With over 40 years of ... This position is a curious and proactive Financial Analyst on a cross-functional finance ...

Background as a data analyst or in a hybrid analyst/engineer role, we value candidates who understand what it means to be the consumer of the data they build What you'll be doing: * Collaborate with ...

Financial Analyst (hybrid)

Hartford, CT · Hybrid

$120K - $130K/yr

Job Title: FP&A Financial Specialist (Hybrid - Hartford, CT) Overview: A highly stable and well-established financial services organization is seeking an experienced FP&A Financial Specialist to join ...

Workday Adaptive Financial Analyst - HYBRID Salary: $70,000-$95,000 Base + 10% Bonus (flexibility for the right candidate) Looking to take ownership of FP&A in a high-growth, transformation-focused ...

Workday Adaptive Financial Analyst - HYBRID Salary: $70,000-$95,000 Base + 10% Bonus (flexibility for the right candidate) Looking to take ownership of FP&A in a high-growth, transformation-focused ...

SAP Analyst (Hybrid) SAP Analyst (Hybrid) Company Overview We are a widely known retail company that has been in business for over 30 years. We have become one of the industry leaders in our space ...

next page

Showing results 1-20

Hybrid Analyst information

See salary details

$31K

$73.3K

$130K

How much do hybrid analyst jobs pay per year?

As of Aug 1, 2026, the average yearly pay for hybrid analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

What is a Hybrid Analyst?

A Hybrid Analyst is a professional who combines skills from multiple disciplines, such as data analysis, business strategy, and technology, to solve complex organizational problems. They often work at the intersection of business and IT, analyzing data, designing solutions, and helping to implement technology-driven changes. Hybrid Analysts are valued for their ability to bridge gaps between technical and non-technical teams, ensuring that business objectives are met with effective, data-backed solutions. This role is especially important in organizations undergoing digital transformation or adopting new technologies.

What is the difference between Hybrid Analyst vs Data Analyst?

AspectHybrid AnalystData Analyst
Required CredentialsBachelor's in Business, IT, or related field; some technical certificationsBachelor's in Statistics, Mathematics, or related field; often certifications in data tools
Work EnvironmentCross-functional teams, combining business and technical tasksData-focused teams, primarily analyzing and visualizing data
Employer & Industry UsageBusiness, finance, healthcare, tech companies integrating multiple rolesTech, finance, marketing firms focusing on data analysis

The Hybrid Analyst combines business acumen with technical skills, working across departments. Data Analysts focus mainly on analyzing data sets. Both roles require similar educational backgrounds and certifications, but Hybrid Analysts often have a broader scope involving both business and technical tasks.

How does a Hybrid Analyst typically balance responsibilities across multiple departments or functions?

As a Hybrid Analyst, you can expect to work closely with various teams, such as IT, operations, and business strategy, often serving as a bridge between technical and non-technical stakeholders. Balancing these responsibilities involves clear communication, setting priorities, and adapting to shifting project needs. Regular check-ins and collaboration with team leads help ensure alignment on goals and deadlines. This dynamic environment fosters broad skill development and prepares you for advancement into specialized or leadership roles.

What are the key skills and qualifications needed to thrive as a Hybrid Analyst, and why are they important?

To thrive as a Hybrid Analyst, you need a strong mix of analytical, business, and technical skills, typically supported by a degree in business, data science, or a related field. Proficiency with data analysis tools like SQL, Excel, and business intelligence platforms, as well as familiarity with project management systems, is often required. Exceptional problem-solving, communication, and adaptability enable Hybrid Analysts to bridge gaps between technical and business teams. These skills and qualities are crucial for delivering actionable insights and driving effective decision-making across diverse organizational functions.
More about Hybrid Analyst jobs
What cities are hiring for Hybrid Analyst jobs? Cities with the most Hybrid Analyst job openings:
What are the most commonly searched types of Hybrid Analyst jobs? The most popular types of Hybrid Analyst jobs are:
What states have the most Hybrid Analyst jobs? States with the most job openings for Hybrid Analyst jobs include:
Infographic showing various Hybrid Analyst job openings in the United States as of July 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 7% Hybrid, and 10% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

GEOINT Hybrid Analyst (Hiring Event)

U.S. Department of Defense (DOD)

Fort Eisenhower, GA • Hybrid

$73K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


U.S. Department Of Defense rating

7.9

Company rating: 7.9 out of 10

Based on 537 frontline employees who took The Breakroom Quiz

28th of 49 rated military and defense


Job description

GEOINT Hybrid Analysts analyze and interpret the full spectrum of spatial data to support U.S. military and policymaker interests. They combine an understanding of geospatial data and imagery analysis to characterize events, discover relationships and trends, and produce geospatial-intelligence. These analysts conduct multi-INT research, conduct descriptive analyses, populate and exploit intellige

Qualifications:

MANDATORY QUALIFICATION CRITERIA: For this particular job, applicants must meet all competencies reflected under the Mandatory Qualification Criteria to include education (if required). Online resumes must demonstrate qualification by providing specific examples and associated results, in response to the announcement's mandatory criteria specified in this vacancy announcement:
Experience applying basic analytic methodologies to evaluate the credibility and reliability of intelligence data.
Experience applying basic geospatial techniques within GIS platforms to visualize location-based information. (Geographic Information Analysis)
Experience applying basic imagery interpretation techniques to identify objects, activities, or features of interest.
Experience creating basic textual information products that clearly communicate analytical findings.
EDUCATION REQUIREMENT: A. Education: Bachelor's degree from an accredited college or university in Cartography, Computer Science, Geographic Information Systems (GIS), Geography, Remote Sensing, Data Analytics, or a related field. -OR- B. Combination of Education and Experience: A minimum of 24 semester (36 quarter) hours of coursework in any area listed in option A, plus experience working in an Intelligence discipline requiring analysis and interpretation of GEOINT data, or related area that demonstrates the ability to successfully perform the duties associated with this work. As a rule, every 30 semester (45 quarter) hours of coursework is equivalent to one year of experience. Candidates should show that their combination of education and experience totals 4 years. -OR- C. Experience: A minimum of 4 years of experience working in an Intelligence discipline requiring analysis and interpretation of GEOINT data, or a related area that demonstrates the ability to successfully perform the duties associated with this work.
PHYSICAL REQUIREMENT: Distinguish principal colors and shades/hues of principal colors; Near visual acuity of 20/20 or better with or without corrective lenses

DESIRABLE QUALIFICATION CRITERIA: In addition to the mandatory qualifications, experience in the following is desired:
Experience collaborating across the Intelligence Community to expand utilization of multiple sensor types
Experience in a related work role for the federal government, specifically the military, Combat Commands and/or Intelligence Community
Experience incorporating data into analyses to enhance intelligence products
Experience adapting existing analytical approaches to fit changing information environments and requirements
Experience with knowledge of a specialized subject area to provide context for intelligence analysis tasks
Experience identifying target audience needs to determine appropriate product format and content

Education:Employment Type: OTHER

What U.S. Department Of Defense employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom