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Manager Data Analyst Jobs in Riverside, MO (NOW HIRING)

Contributing to and overseeing the successful delivery of data platform, analytics, and data ... Collaborating with project management to plan work for delivery teams and verifying quality ...

Healthcare Data Analyst

Overland Park, KS · On-site

$2.5K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This job is responsible for performing statistical modeling and data analysis to develop metrics ... Prior experience inthe UtilizationManagement (UM) or Managed Care Payer space. * Experience working ...

... Data Analyst to process and maintain high-quality aeronautical data. The role involves editing ... and database management • Knowledge of Cartography, GIS principles and methodologies • ...

Develop and manage data models supporting financial reporting across multiple systems * Deliver ad hoc reporting and analysis directly, reducing reliance on intake from Product/Tech * Validate and QA ...

Develop and manage data models supporting financial reporting across multiple systems * Deliver ad hoc reporting and analysis directly, reducing reliance on intake from Product/Tech * Validate and QA ...

Develop and manage data models supporting financial reporting across multiple systems * Deliver ad hoc reporting and analysis directly, reducing reliance on intake from Product/Tech * Validate and QA ...

Data Strategy-Manager

Kansas City, MO · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

Data Governance- Manager

Kansas City, MO

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

Item Data Management Expert

Olathe, KS · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

By leveraging data analysis, SQL skills and deep entity knowledge, you will ensure our item and ... Manage and audit complex clusters of item master data unique to the TVH Americas context to ensure ...

Senior Data Governance Analyst

Overland Park, KS · On-site

$110 - $160/hr

  • Medical

  • Life

  • Retirement

  • PTO

... Senior Data Governance Analyst -- Unstructured Data & AI Readiness! About the Company: Security ... S. retirement market with more than $60 billion in assets under management. We offer opportunities ...

The team consists of 4 Security Architects and an IAM Analyst, reporting to the Sr. Manager, Cyber Security, and is focused on securing enterprise data across modern collaboration platforms. If you ...

Data Engineer - Manager

Kansas City, MO · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Showing results 41-60

Manager Data Analyst information

See Riverside, MO salary details

$32.9K

$79.9K

$131.5K

How much do manager data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manager 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 Manager Data Analyst do?

A Manager Data Analyst oversees a team of data analysts, guiding their work in collecting, processing, and interpreting complex data to help organizations make informed decisions. They are responsible for developing data strategies, ensuring data accuracy, and translating analytical findings into actionable insights for business leaders. In addition to technical expertise, they often collaborate with other departments, manage projects, and mentor team members to support business goals and drive growth.

What are the key skills and qualifications needed to thrive as a Manager Data Analyst?

To thrive as a Manager Data Analyst, you need a strong background in statistics, data modeling, and analytics, often supported by a degree in a quantitative field and experience in data analysis roles. Familiarity with tools such as SQL, Python or R, business intelligence platforms (e.g., Tableau, Power BI), and data management systems is typically required. Leadership, problem-solving abilities, and effective communication skills set standout candidates apart by enabling them to lead teams and translate data insights to stakeholders. These skills are vital for driving data-driven business decisions and ensuring the effective functioning of analytics teams.

How does a Manager Data Analyst typically balance hands-on data analysis with overseeing team projects?

A Manager Data Analyst is often responsible for both performing complex data analysis and managing a team of analysts. Balancing these duties involves delegating day-to-day analytical tasks to team members while focusing on project oversight, strategic planning, and stakeholder communication. Managers frequently review team outputs, provide mentorship, and ensure that data-driven insights align with business objectives. This dual role requires strong organizational skills and the ability to shift between technical work and leadership responsibilities.

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

AspectManager Data AnalystData Analyst
ResponsibilitiesOversees data teams, manages projects, develops strategiesAnalyzes data, prepares reports, supports decision-making
Required SkillsLeadership, project management, advanced analyticsData analysis, SQL, Excel, visualization tools
Experience5+ years, leadership experience often required1-3 years, entry to mid-level
CertificationsRelevant certifications like CAP, PMP beneficialSQL, Excel, Tableau certifications advantageous

The main difference between a Manager Data Analyst and a Data Analyst lies in scope and responsibility. Managers oversee teams and strategic initiatives, while Data Analysts focus on data analysis and reporting. Both roles require strong analytical skills, but managerial positions demand leadership and project management experience.

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

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

Infographic showing various Manager Data Analyst job openings in Riverside, MO as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $79,892 per year, or $38.4 per hour.

Manager, Data Engineering

Reply

Kansas City, KS • On-site

Full-time

Re-posted 25 days ago


Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks for our customers. As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have strong communication skills and serve as a trusted partner to our customers. A strong understanding of data governance and advising customers on frameworks is critical to this role. This is an exciting role for people that like collaborating across a team, enjoying flexibility/autonomy in completing work, and solving challenging problems.
Responsibilities
  • Assist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals
  • Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs
  • Providing leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture
  • Staying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops
  • Defining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks
  • Collaborating with project management to plan work for delivery teams and verifying quality deliverables

Minimum Requirements
  • Bachelor's degree in computer science or related field
  • 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects
  • 4 years of experience in a consulting role working directly with Enterprise customers
  • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
  • Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
  • Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
  • Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
  • Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies

Preferred Qualifications
  • Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps
  • Knowledge and familiarity with Microsoft Purview
  • DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
  • Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
  • Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra

About Reply
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.
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.