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Associate Data Analyst Jobs in Lees Summit, MO (NOW HIRING)

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

... analysis and decision-making across the Club. The successful candidate will provide key ... All associates are expected to positively collaborate with individuals of diverse backgrounds. We ...

Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

... analysis and decision-making across the Club. The successful candidate will provide key ... All associates are expected to positively collaborate with individuals of diverse backgrounds. We ...

Analytics Engineer II

Overland Park, KS · On-site

$90K - $115K/yr

The Analytics Engineer II builds and delivers enterprise data products that support analytical and ... We believe in giving associates progressive opportunities, actively nurturing professional growth ...

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Explain advanced analytic and modeling procedures in the language that audiences with no predictive ...

Crime Analyst

Independence, MO · On-site

$55 - $75/hr

Minimum Qualifications Associate's Degree in Intelligence Studies, Criminal Justice, Public ... data, analyzing findings, drawing conclusions, and writing comprehensive findings. To successfully ...

New

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Explain advanced analytic and modeling procedures in the language that audiences with no predictive ...

Staff Analyst

Kansas City, MO · Hybrid

$60K - $80K/yr

... have over 900 associates nationwide. At Myers and Stauffer, you will have a career that is ... Build SQL queries, build data extraction logic, and validate data used in reimbursement ...

Staff Analyst

Kansas City, MO · Hybrid

$60K - $80K/yr

... have over 900 associates nationwide. At Myers and Stauffer, you will have a career that is ... Build SQL queries, build data extraction logic, and validate data used in reimbursement ...

Showing results 41-60

Associate Data Analyst information

See Lees Summit, MO salary details

$33.1K

$80.4K

$132.3K

How much do associate data analyst jobs pay per year?

As of Sep 3, 2026, the average yearly pay for associate data analyst in Lees Summit, MO is $80,407.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,400.00 per year, depending on experience, location, and employer.

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

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

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What is the role of an associate data analyst?

An associate data analyst collects, processes, and analyzes data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under supervision to generate reports and identify trends. Strong analytical skills and attention to detail are essential for this entry-level role.

What are the most commonly searched types of Data Analyst jobs in Lees Summit, MO?

The most popular types of Data Analyst jobs in Lees Summit, MO are:

What job categories do people searching Associate Data Analyst jobs in Lees Summit, MO look for?

The top searched job categories for Associate Data Analyst jobs in Lees Summit, MO are:

What cities near Lees Summit, MO are hiring for Associate Data Analyst jobs?

Cities near Lees Summit, MO with the most Associate Data Analyst job openings:

Infographic showing various Associate Data Analyst job openings in Lees Summit, MO as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,407 per year, or $38.7 per hour.

Associate Analytics Engineer

Lockton, Inc.

Kansas City, MO • On-site

Full-time

Posted 7 days ago


Lockton rating

9.0

Company rating: 9.0 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

38th of 315 rated insurance


Job description

Job Summary:
The Associate Analytics Engineer supports the modernization of the organization's reporting and data environment. Initially focused heavily on Power BI development and reporting, this role will progressively move data models and business logic upstream from individual reports into centralized, reusable data and semantic layers.
Working with Analytics Engineers, Data Engineers, and business stakeholders, the Associate Analytics Engineer will maintain and enhance existing Power BI solutions while developing the skills and practices needed to build reliable, scalable, and well-governed data assets.
Key Responsibilities
Power BI & Analytics
• Develop, maintain, and enhance Power BI reports, dashboards, and semantic models.
• Translate business requirements into effective Power BI solutions and analytical experiences.
• Develop and maintain Power BI data models, measures, and business logic.
• Troubleshoot data, modeling, and report issues and improve report performance and usability.
• Partner with business stakeholders to understand reporting needs and translate business definitions into consistent metrics and logic.
• Identify opportunities to reduce duplicated logic and move reusable business logic upstream from individual Power BI reports.
Analytics Engineering & Data Modeling
• Progressively migrate data models, transformations, and business logic from Power BI into centralized data and semantic layers.
• Develop and maintain analytics-ready datasets using emerging Analytics Engineering practices and patterns.
• Apply dimensional modeling concepts, including star schemas and other established data modeling practices.
• Write clean, maintainable SQL to transform and prepare data for analytical use.
• Contribute to reusable enterprise data assets and standardized business logic.
• Partner with Analytics Engineers and Data Engineers to understand data structures, technical patterns, and implementation approaches.
Data Quality & Performance
• Validate data and business logic to ensure reporting and analytical solutions are accurate and reliable.
• Monitor and troubleshoot Power BI and query performance.
• Partner with Analytics and Data Engineers to improve performance, reliability, and maintainability.
• Support testing and validation of data models, metrics, and transformations.
Requirements:
• Experience developing Power BI reports, dashboards, and data models.
• Strong SQL skills and the ability to write clean, complex, and maintainable queries.
• Understanding of data warehousing and dimensional modeling concepts, including star schemas and Kimball methodologies.
• Experience developing business logic and metrics within Power BI.
• Familiarity with modern cloud data platforms such as Databricks.
• Exposure to Git, version control, testing, or other software development practices is a plus.
• Interest in developing an Analytics Engineering skill set and applying engineering practices to data.
• Ability to translate business requirements and definitions into clear, consistent data logic.
• Strong analytical, problem-solving, and communication skills.
• Ability to collaborate with business stakeholders, Analytics Engineers, and Data Engineers.
Growth in the Role
The role is expected to evolve from a strong focus on Power BI development toward increasing responsibility for Analytics Engineering. Over time, the Associate Analytics Engineer will take on greater ownership of:
• Data modeling and transformation outside of Power BI.
• Reusable enterprise business logic and semantic definitions.
• Testing, validation, and technical documentation.
• Migration of reporting logic into centralized data assets.
• Code-based development and version-controlled data solutions.
• Technical design and implementation of analytics-ready data assets.
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