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Intelligence Collection Jobs in Kansas (NOW HIRING)

Analytics Engineer II

Overland Park, KS · On-site

$90K - $115K/yr

The Analytics Engineer II partners with Data Engineering, Business Intelligence, business analysts ... By submitting your application, you agree to the collection and use of your personal information as ...

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Our field data collection teams are spread across Europe and North America, ready to accept new ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Support site setup, equipment mobilization, and sample collection. * Load, transport, and maintain ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Support site setup, equipment mobilization, and sample collection. * Load, transport, and maintain ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

You will be part of a technical project, supporting data collection with the corporate vehicle. No ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

You will be part of a technical project, supporting data collection with the corporate vehicle. No ... intelligence (AI) tools to support parts of the hiring process, such as reviewing applications ...

Service Coordinator

Kansas City, KS · On-site

$19 - $24/hr

It is not one single thing, but rather a collection of behaviors and actions that are influenced by ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Service Coordinator

Kansas City, KS · On-site

$19 - $24/hr

It is not one single thing, but rather a collection of behaviors and actions that are influenced by ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Experience with tracking implementation, tag management, data collection, and analytics ... Data analysis and business intelligence. * Knowledge of content management and publishing processes.

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Showing results 41-60

Intelligence Collection information

See Kansas salary details

$40.6K

$93.3K

$128.4K

How much do intelligence collection jobs pay per year?

As of Aug 17, 2026, the average yearly pay for intelligence collection in Kansas is $93,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $105,700.00 per year, depending on experience, location, and employer.

What is an intelligence collection?

An Intelligence Collection job involves gathering, analyzing, and interpreting information from various sources to support decision-making in government, military, law enforcement, or private sector organizations. Professionals in this role use techniques like open-source research, human intelligence (HUMINT), signals intelligence (SIGINT), and geospatial intelligence (GEOINT). Their work helps identify threats, assess risks, and provide actionable insights. Strong analytical skills, attention to detail, and discretion are essential for success in this field.

What does an intelligence collection do?

As an Intelligence Collection professional, your daily tasks may include gathering data from open and confidential sources, monitoring alerts or surveillance feeds, and synthesizing raw information into actionable intelligence reports. You might also verify information accuracy, maintain secure databases, and brief internal teams or leadership on key findings. Collaboration with analysts, field operatives, and other intelligence professionals is common to ensure comprehensive intelligence products. This role offers a dynamic work environment that often requires adapting to rapidly changing priorities and working discreetly with sensitive information.

What are the key skills and qualifications needed for intelligence collection?

To excel in Intelligence Collection, candidates usually need strong analytical abilities, attention to detail, and an understanding of intelligence-gathering methods, often supported by a relevant degree in criminal justice, international relations, or a related field. Familiarity with intelligence databases, surveillance technologies, and systems such as SIGINT or HUMINT platforms is valuable, and certifications like Certified Intelligence Analyst (CIA) can enhance prospects. Critical thinking, ethical judgment, and clear written and verbal communication are important soft skills for effective collaboration and reporting. These competencies ensure that intelligence is accurately collected, interpreted, and conveyed to support organizational or national security objectives.

Do intelligence collection jobs pay well?

Intelligence collection jobs often offer competitive salaries, especially for roles requiring security clearances, specialized skills, or experience with intelligence tools. Salaries can vary based on government or private sector employment, location, and level of expertise, with many positions providing additional benefits such as healthcare and retirement plans.
Infographic showing various Intelligence Collection job openings in Kansas as of August 2026, with employment types broken down into 87% Full Time, 9% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $93,326 per year, or $44.9 per hour.

Analytics Engineer II

Mariner

Overland Park, KS • On-site

$90K - $115K/yr

Full-time

Posted 5 days ago


Job description

The Analytics Engineer II builds and delivers enterprise data products that support analytical and operational reporting across Mariner. This role translates defined business requirements into scalable data models and datasets in Snowflake using SQL, dbt, and Python while contributing to data quality, governance, and AI-enabled analytics capabilities. The Analytics Engineer II partners with Data Engineering, Business Intelligence, business analysts, and other stakeholders throughout the analytics lifecycle. This opportunity offers hands-on involvement in modern data platforms, semantic-layer development, and the implementation and ongoing support of data products across the organization.
Responsibilities
  • Collaborate with business stakeholders to gather and clarify data and reporting requirements and translate them into effective data solutions.
  • Develop and maintain scalable data models and data products using dbt and Snowflake in alignment with established architecture and engineering standards.
  • Partner with Data Engineering, Business Intelligence, and business teams to design and implement data products across the analytics lifecycle.
  • Contribute to semantic-layer models, business metrics, and standardized definitions that support AI-enabled agents, workflows, and consistent analytics.
  • Apply Snowflake capabilities, including data definition language (DDL) operations, role-based access control (RBAC), SQL functions, and Snowflake Cortex, in the development and support of data products.
  • Support data quality and governance by applying data validation, security, and quality practices throughout data development and implementation.
  • Participate in code reviews, version control, testing, and continuous integration and continuous delivery (CI/CD) processes in accordance with team standards.
  • Provide clear project updates, technical documentation, and implementation status to technical and business stakeholders.
Requirements
  • 3+ years of professional experience in analytics engineering, data engineering, or business intelligence.
  • 3+ years of experience with SQL and analytical databases such as Snowflake, Databricks, SQL Server, or Azure.
  • Experience developing and maintaining data models, pipelines, and reporting datasets.
  • Experience working in Agile environments and collaborating with cross-functional teams.

Preferred qualifications include a bachelor's degree in computer science, engineering, data analytics, or a related technical field; experience in wealth management or financial services; experience with dbt for data modeling, testing, documentation, and deployment workflows; experience with Git and version control practices; understanding of extract, load, transform (ELT) and extract, transform, load (ETL) processes and tools; and exposure to semantic-layer concepts and tools.
Skills
  • Apply strong analytical, problem-solving, and data validation skills to develop reliable data solutions.
  • Communicate effectively with technical and business stakeholders, including providing clear documentation and project updates.
  • Collaborate across Data Engineering, Business Intelligence, and business teams to deliver solutions that meet defined needs.
  • Organize and coordinate work effectively across assigned projects while contributing within established engineering and delivery practices.

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We welcome your interest in being a part of our firm. We believe in giving associates progressive opportunities, actively nurturing professional growth and giving back to the community. We are dedicated to building a diverse culture where everyone has the support they need to achieve their career goals. We offer an innovative workplace and a culture that fosters camaraderie, teamwork and work-life balance.
By submitting your application, you agree to the collection and use of your personal information as described in our Employee and Applicant Privacy Notice.
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