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Data Analyst Jobs in Riverside, MO (NOW HIRING)

Pwc

Data Strategy-Manager

Kansas City, MO · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Pwc

Data Governance- Manager

Kansas City, MO

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Sporting Kansas City

Data Scientist

Kansas City, KS · On-site

The successful candidate will work closely with coaches, scouts, analysts and other stakeholders, translating complex data into key insights, developing interpretable and context-relevant models ...

NovationIQ

Data Scientist

Kansas City, KS · On-site

$110 - $160/hr

The successful candidate will work closely with coaches, scouts, analysts and other stakeholders, translating complex data into key insights, developing interpretable and context-relevant models ...

New

System One

SAP Master Data Specialist

Weatherby Lake, MO · On-site

$100K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Lead root cause analysis for recurring data issues. * Manage and maintain SAP master data objects, including business partners, material master, finance master data, and asset master data. * Support ...

System One

SAP Master Data Specialist

Weatherby Lake, MO · On-site

$100K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Lead root cause analysis for recurring data issues. * Manage and maintain SAP master data objects, including business partners, material master, finance master data, and asset master data. * Support ...

System One

SAP Master Data Specialist

Weatherby Lake, MO · On-site

$100K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Lead root cause analysis for recurring data issues. * Manage and maintain SAP master data objects, including business partners, material master, finance master data, and asset master data. * Support ...

System One

SAP Master Data Specialist

Weatherby Lake, MO · On-site

$100K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Lead root cause analysis for recurring data issues. * Manage and maintain SAP master data objects, including business partners, material master, finance master data, and asset master data. * Support ...

System One

SAP Master Data Governance Lead

Weatherby Lake, MO · On-site

$100K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Lead root cause analysis for recurring data issues. * Manage and maintain SAP master data objects, including business partners, material master, finance master data, and asset master data. * Support ...

System One

SAP Master Data Governance Lead

Weatherby Lake, MO · On-site

$100K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Lead root cause analysis for recurring data issues. * Manage and maintain SAP master data objects, including business partners, material master, finance master data, and asset master data. * Support ...

System One

SAP Master Data Governance Lead

Weatherby Lake, MO · On-site

$100K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Lead root cause analysis for recurring data issues. * Manage and maintain SAP master data objects, including business partners, material master, finance master data, and asset master data. * Support ...

System One

SAP Master Data Governance Lead

Weatherby Lake, MO · On-site

$100K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Lead root cause analysis for recurring data issues. * Manage and maintain SAP master data objects, including business partners, material master, finance master data, and asset master data. * Support ...

System One

SAP Master Data Governance Lead

Weatherby Lake, MO · On-site

$100K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Lead root cause analysis for recurring data issues. * Manage and maintain SAP master data objects, including business partners, material master, finance master data, and asset master data. * Support ...

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Showing results 41-60

All JobsData Analyst JobsData Analyst Jobs in Riverside, MO

Data Analyst information

See Riverside, MO salary details

$32.9K

$79.9K

$131.5K

How much do data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data analyst in Riverside, MO is $79,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,800.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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 relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs

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

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

What are popular job titles related to Data Analyst jobs in Riverside, MO?

For Data Analyst jobs in Riverside, MO, the most frequently searched job titles are:

What cities near Riverside, MO are hiring for Data Analyst jobs?

Cities near Riverside, MO with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Riverside, 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 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $79,892 per year, or $38.4 per hour.

Senior Specialist, Data Science

Canadian Pacific Railway

Kansas City, MO • On-site

$120.72 - $140/hr

Other

Posted yesterday

New

Canadian Pacific rating

7.1

Company rating: 7.1 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

256th of 492 rated business services

Job description

Design, develop, and implement data-driven models and analytical frameworks to generate predictive insights and support strategic business decision-making; apply statistical methods, data mining techniques, and analytical tools to analyze large datasets and identify patterns, trends, and correlations; develop and optimize data pipelines and data processing workflows using cloud platforms (e.g., AWS) and data warehouse technologies (e.g., Snowflake) to support scalable analytics; perform predictive modeling, scenario analysis, and forecasting to evaluate business performance, risks, and opportunities; establish and maintain data quality frameworks, validation processes, and monitoring systems to ensure accuracy, reliability, and consistency of analytical outputs; design and implement data models, including structured datasets and analytical data marts, to support advanced analytics and reporting use cases; develop and deliver dashboards and data visualizations using tools such as Power BI or Tableau to communicate insights to stakeholders; collaborate with business and technical stakeholders to translate business requirements into data-driven solutions and analytical models; conduct root cause analysis of data and performance issues, and implement data-driven solutions to improve system performance and business outcomes; evaluate and recommend advanced analytics tools, technologies, and methodologies to enhance data science capabilities; apply advanced SQL and programming techniques to extract, manipulate, and analyze data for modeling and reporting purposes; support data governance initiatives, including data lineage, metadata management, and compliance with data standards and regulatory requirements; present analytical findings, models, and recommendations to stakeholders, including executive leadership, to support decision-making; drive continuous improvement through automation, optimization of data processes, and implementation of scalable analytics solutions. Salary: $120,723 - $140,000 per year.

MINIMUM REQUIREMENTS

Bachelor’s degree or its U.S. equivalent in Computer Science, Information Systems, Computer Engineering, or a related field, plus 5 years of professional experience as a Sr. Data Analyst, Data Modeler, or any occupation, job title, position involving data analysis, data management, and database design.

Must also have experience in the following: 5 years of professional experience writing, optimizing, and troubleshooting advanced SQL queries; including complex joins, aggregations, subqueries, stored procedures, functions, and performance tuning in relational databases; 5 years of professional experience performing data manipulation, automation, and statistical analysis, including building robust data pipelines and ETL processes to integrate disparate railroad data sources; 5 years of professional experience documenting SQL queries, logic, data workflows, and analytics results for technical and non-technical stakeholders; 5 years of professional experience working with cross‑functional teams (including business, IT, and finance) to gather requirements, clarify business needs, and deliver solutions strictly via SQL; 4 years of professional experience utilizing statistical analysis, including regression analysis, time‑series forecasting, applied to rail operations data to generate insights; 3 years of professional experience developing executive dashboards and interactive reports using tools including Power BI or Qlik, to communicate operational insights and performance metrics effectively; 3 years of professional experience in rail transportation operations, including knowledge of industry terminology and processes, and applying this knowledge to support analysis and decision‑making in a railroad environment.

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