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Performance Improvement Data Analyst Jobs in Kansas

Sr. Data Analyst

Overland Park, KS · On-site

$85K - $107K/yr

As a CBRE Data Sr. Analyst, you will perform a variety of analyses to ensure that recommendations ... Apply modeling and optimization methods to develop new strategies and improve business performance ...

... performance accurately from launch onwar What We're Looking For * B.Tech/BS in Computer Science ... data analytics, product analytics, business analytics, financial analysis, data science, or a ...

... Data Analyst to process and maintain high-quality aeronautical data. The role involves editing ... improvement freely and positively • Demonstrate understanding of the importance of thoroughly ...

A desire for continuous improvement and learning * Leadership and development skills demonstrated ... Advanced Power BI (data modeling, DAX, performance optimization) * Experience supporting or ...

Posted today

Develop centerlining support tools and guidance to help improve key performance metrics, including ... Coursework or practical experience related to continuous improvement, data analysis, process ...

Posted today

Appian Analyst (Must have Appian Experience) Location: Remote, US Based, East Coast Working Hours ... improvement in DAMIS workflows and reporting * Support integration of Appian data with external ...

Showing results 21-40

Performance Improvement Data Analyst information

What are the key skills and qualifications needed to thrive as a performance improvement data analyst?

A Performance Improvement Data Analyst should possess strong analytical skills, expertise in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data visualization tools (such as Tableau or Power BI), statistical analysis software (like SAS or R), and quality improvement methodologies (such as Lean or Six Sigma certification) is typically required. Exceptional attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating data insights into actionable recommendations. These competencies are essential for identifying trends, driving process improvements, and supporting organizational decision-making.

How does a performance improvement data analyst typically collaborate with cross-functional teams to drive organizational change?

Performance Improvement Data Analysts often work closely with departments such as operations, quality assurance, and management to identify performance gaps and recommend actionable solutions. They facilitate meetings to present data findings, translate analytics into practical strategies, and support teams during the implementation of process improvements. This role requires effective communication and the ability to build consensus among stakeholders, as well as ongoing follow-up to measure the impact of changes and ensure continuous improvement.

What is the difference between Performance Improvement Data Analyst vs Business Analyst?

AspectPerformance Improvement Data AnalystBusiness Analyst
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; certifications like CAP or CBAPBachelor's in Business, Management, or related field; certifications like CBAP or PMI-PBA
Work EnvironmentData-driven teams, healthcare, manufacturing, or corporate settingsBusiness units, project teams, corporate offices across industries
Employer & Industry UsageHealthcare, manufacturing, finance, and consulting firms focusing on process improvementsVarious industries including finance, IT, healthcare, focusing on business process analysis

The Performance Improvement Data Analyst primarily focuses on analyzing data to identify process inefficiencies and recommend improvements, often within healthcare or manufacturing sectors. In contrast, a Business Analyst evaluates business needs, documents requirements, and supports project implementation across diverse industries. While both roles require analytical skills and certifications, their core responsibilities and work environments differ, with the Data Analyst emphasizing data analysis and the Business Analyst focusing on business processes and solutions.

What is a performance improvement data analyst?

A Performance Improvement Data Analyst is a professional who collects, analyzes, and interprets data to identify areas where an organization can enhance its efficiency, quality, and overall performance. They work with various teams to develop strategies based on data-driven insights, often focusing on process optimization and cost reduction. Their role may include creating reports, visualizing data trends, and supporting decision-making by providing actionable recommendations. These analysts are commonly found in healthcare, business, and manufacturing settings, among others.
What are popular job titles related to Performance Improvement Data Analyst jobs in Kansas? For Performance Improvement Data Analyst jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Performance Improvement Data Analyst jobs in Kansas look for? The top searched job categories for Performance Improvement Data Analyst jobs in Kansas are:
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Sr. Data Analyst

CBRE

Overland Park, KS • On-site

$85K - $107K/yr

Full-time

Posted 9 days ago


CBRE rating

8.1

Company rating: 8.1 out of 10

Based on 349 frontline employees who took The Breakroom Quiz

104th of 488 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).

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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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