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Data Analyst Data Science Jobs in Mission, KS (NOW HIRING)

Sr. Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

This job is part of the Data Science & Analytics job function. They are responsible for reviewing data that supports improving effectiveness and predicting outcomes to develop business intelligence.

Data Analyst

Overland Park, KS · On-site

$70 - $95/hr

Data Analyst** for **Value-Based Insights** (VBI) is responsible for transforming Medicare (CMS) claims data into metrics, benchmarks, and measures that power WellSky's VBI product for Home Health ...

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

Experience with applying statistical methods (e.g. time series analysis, NLP, deep learning, or reinforcement learning) * Hands-on experience with MLOps, model deployment, and CI/CD for data science ...

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

... analysis, NLP, deep learning, or reinforcement learning) * Hands‑on experience with MLOps, model deployment, and CI/CD for data science workflows * Exposure to distributed computing (e.g., Spark ...

Sr Data & AI Scientist

Leawood, KS · On-site +1

$151K - $215K/yr

Advanced proficiency with data science toolkits (e.g., Python NumPy, SciPy, Scikit-learn, TensorFlow, R, Spark ML, Azure ML), programming and scripting for reproducible analysis, and building ...

We're hiring a Data Analyst - People at our rental facility in Columbia, MO, and we're looking for someone who's ready to grow with us, bring energy and drive to their work, and help us build the ...

Senior Data Analyst

Overland Park, KS · On-site

$90 - $130/hr

Senior Data Analyst - Overland Park, KS (MMGY Global) As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media, measurement, and data analytics experience ...

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

Senior Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key piece of the Data Strategy and Analytics team, the Senior Data Analyst will leverage media ...

Showing results 21-40

Data Analyst Data Science information

See Mission, KS salary details

$31.7K

$77.1K

$127K

How much do data analyst data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data analyst data science in Mission, KS is $77,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $90,600.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What job categories do people searching Data Analyst Data Science jobs in Mission, KS look for?

The top searched job categories for Data Analyst Data Science jobs in Mission, KS are:

Infographic showing various Data Analyst Data Science job openings in Mission, KS as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $77,148 per year, or $37.1 per hour.

Sr. Data Analyst

CBRE

Overland Park, KS • On-site

$85K - $107K/yr

Full-time

Posted 20 days ago


CBRE rating

8.1

Company rating: 8.1 out of 10

Based on 349 frontline employees who took The Breakroom Quiz

108th of 496 rated business services


Job description

About the Role:
As a CBRE Data Sr. Analyst, you will perform a variety of analyses to ensure that recommendations and business conclusions are backed by sound data findings and thorough data research.
This job is part of the Data Science & Analytics job function. They are responsible for reviewing data that supports improving effectiveness and predicting outcomes to develop business intelligence.
What You'll Do:
Coordinate data aggregation and curate complex reports using various business intelligence and reporting applications
Perform ad-hoc, strategic review of structured and unstructured data, reflecting global real estate markets and the operations of real estate assets
Develop data structures and pipelines to organize, collect, cleanse, and standardize information to generate insights and address reporting needs
Define complex data requirements and gather information using judgment and statistical tests
Use programming and evaluation tools, including open-source programs to plan models and extract insights
Identify opportunities to maximize data usage. Apply modeling and optimization methods to develop new strategies and improve business performance
Develop ad-hoc reporting based on the review of existing data sources
Exhibit rigor, judgment, and ability to present a highly detailed 'data story' to many levels of the organization
Confirm the quality and integrity of new and existing data sources
Collaborate with operational teams to provide recommendations and communications on enhancing existing or new processes and programs
Apply general knowledge of standard principles and techniques/procedures to accomplish assigned tasks and solve routine problems
Have a broad knowledge of one's own job discipline and some knowledge of several job disciplines within the function
Impact the quality of own work and the work of others on the team; work within guidelines and policies
Lead by example and model behaviors that are consistent with CBRE RISE values. Will need ability to influence to reach an agreement
Work primarily within standardized procedures and practices to achieve objectives and meet deadlines Explain complex information to others in straightforward situations
Ability to document processes
What You'll Need:
Bachelor's Degree preferred with 2-5 years of relevant experience. A combination of experience and education will be considered in lieu of a degree. Master's degree preferred
Understanding of existing procedures and standards to solve complex problems
Ability to understand possible solutions using technical experience to apply appropriate judgment and precedents
In-depth knowledge of Microsoft Office products. Examples include PowerBi, Power Automate, Excel, Outlook, etc.
Strong organizational skills with an inquisitive mindset
Experience with data analysis, data modeling, and data visualization tools, specifically Alteryx, PowerBi and Tableau
Proficiency in programming languages specifically: SQL and Python
Some data engineering skills preferred including PySpark for Microsoft Fabric and Databricks
Ability to work collaboratively in a team environment and communicate effectively with stakeholders
Strong problem-solving skills and attention to detail; leveraging AI tools such as Claude, ChatGPT, and Co-Pilot.
Ability to manage multiple projects and meet deadlines in a fast-paced environment
Knowledge of CMMS systems is preferred
Equal Employment Opportunity: CBRE has a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.
Candidate Accommodations: CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company's success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at recruitingaccommodations@cbre.com or via telephone at +1 866 225 3099 (U.S.) and +1 866 388 4346 (Canada).

What CBRE employees say

Pay

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About CBRE

Sourced by ZipRecruiter

The real estate industry is undergoing significant and exciting change, increasingly driven by data and technology. At CBRE, the world's premier commercial real estate services company, we empower teams to take ownership over that technology and shape it, offering both nimble, research-driven product design and the resources of a Fortune 500 business. We approach culture with intention, valuing camaraderie, collaboration, inclusivity and a healthy work/life balance. The user experience team is passionate about the quality, usability, and simplicity of the experiences we create. Individuals in these roles gather these key user insights, and then use them to inspire and inform product strategy and design solutions. We partner closely with each other, engineering, and product management to create innovative, usable, great-looking products.

Industry

Real estate

Company size

10,000+ Employees

Headquarters location

Dallas, TX, US

Year founded

1906

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