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Data Jobs in Manhattan, KS (NOW HIRING)

Mapping Driver

Manhattan, KS · Remote

$16 - $18/hr

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field ...

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Senior FP&A Analyst

Manhattan, KS

$72K - $90K/yr

You'll take ownership of the full planning and forecasting cycle, translate complex financial data into actionable insights, and serve as a trusted resource for leaders across the business. We are ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

Senior FP&A Analyst

Manhattan, KS · On-site

$80K - $110K/yr

You'll take ownership of the full planning and forecasting cycle, translate complex financial data into actionable insights, and serve as a trusted resource for leaders across the business. We are ...

Assign, review, and evaluate laboratory or field data for inclusion in reports. Apply sound engineering principles and be able to communicate complex engineering issues and concepts to technical and ...

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Data information

See Manhattan, KS salary details

$40.7K

$146.1K

$215.6K

How much do data jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data in Manhattan, KS is $146,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,200.00 and $150,500.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

What are the most commonly searched types of Data jobs in Manhattan, KS?

The most popular types of Data jobs in Manhattan, KS are:

What are popular job titles related to Data jobs in Manhattan, KS?

For Data jobs in Manhattan, KS, the most frequently searched job titles are:

What job categories do people searching Data jobs in Manhattan, KS look for?

The top searched job categories for Data jobs in Manhattan, KS are:

What cities near Manhattan, KS are hiring for Data jobs?

Cities near Manhattan, KS with the most Data job openings:

Infographic showing various Data job openings in Manhattan, KS as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $146,110 per year, or $70.2 per hour.

Data collector / Driver in Manhattan, KS

Manhattan, KS

Full-time

Re-posted 2 days ago


Job description

Company description
 
Service Measure (SM) is a field data collection company founded in 2013 in New York. 
 
We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.
 
Project objective
 
The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world.
 
The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas. 
 
The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable.
 
The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible.
Requirements:
  • Must have a valid Driver Licence;
  • Good driving skills and clean driving record;
  • General car knowledge would be a plus;
  • Enjoys driving, within standard business hours;
  • Available for a minimum of 3 months;
  • Must have private monitored parking space for corporate vehicle;
  • Great communication and reporting skills;
  • Tech savvy (drivers will use Gmail, Google Forms and Google Meet);
  • High level of responsibility;
  • Self-motivated and detail oriented; 
  • Must be able to successfully pass a background check (criminal and driving record).
 
We would be happy to get to know you and your skills better and see how we can support each other's growth.
 
Please apply and let's meet!

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.