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Volunteer Data Visualization Analyst Jobs in Missouri

Jobgether

Working knowledge of Python, particularly pandas, data wrangling, analysis, and basic data visualization or automation. * Strong understanding of DeFi concepts, including AMMs, lending protocols ...

GDIT

Data Science Analyst

Saint Louis, MO

$133K - $180K/yr

Data Management, Metadata Standards, Visualization Certifications: None Experience: 5 + years of related experience US Citizenship Required: Yes We are seeking a Data Science Analyst/Engineer to join ...

Ameren Services

Data Analytics Coop

Saint Louis, MO · On-site

$21 - $30/hr

Basic knowledge of data visualization, relational databases, writing queries (SQL), and programming ... Working analytical skills to address business problems, identify trends, and generate actionable ...

AMS Ameren Services

Data Analytics Coop

Saint Louis, MO

$21 - $30/hr

Basic knowledge of data visualization, relational databases, writing queries (SQL), and programming ... Working analytical skills to address business problems, identify trends, and generate actionable ...

System One

Sr. Business Analyst

Saint Louis, MO · On-site

$89K - $116K/yr

Provide expert-level support for data visualization tools like Tableau to support business ... voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity ...

Jobtailor

Distinguished Data Scientist

California, MO · On-site

$180 - $260/hr

Present insights with data visualization, quantified business impact, and confidence intervals Requirements * Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

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Volunteer Data Visualization Analyst information

What is the difference between Volunteer Data Visualization Analyst vs Data Analyst?

AspectVolunteer Data Visualization AnalystData Analyst
Required CredentialsTypically relevant skills, certifications in data visualization tools (e.g., Tableau, Power BI)Often requires a degree in data science, statistics, or related fields
Work EnvironmentVolunteer settings, non-profits, community projectsCorporate, government, or organizational environments
Employer & Industry UsageNon-profit organizations, NGOs, community groupsBusinesses, government agencies, consulting firms
Common Search & Comparison IntentUnderstanding volunteer roles in data visualizationProfessional data analysis careers

The Volunteer Data Visualization Analyst focuses on creating visual data representations in volunteer or non-profit settings, often with less formal credentials. In contrast, Data Analysts typically work in professional environments requiring specific degrees and broader data analysis skills. Both roles involve data visualization, but their work contexts and credential requirements differ.

What are popular job titles related to Volunteer Data Visualization Analyst jobs in Missouri?

For Volunteer Data Visualization Analyst jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Volunteer Data Visualization Analyst jobs in Missouri look for?

The top searched job categories for Volunteer Data Visualization Analyst jobs in Missouri are:

Volunteer Data Visualization Analyst jobs near you
Infographic showing various Volunteer Data Visualization Analyst job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Engineer/Data Analyst

Advantage Tech

Kansas City, MO • On-site

Full-time

Posted 18 days ago

Job description

Data Engineer/Analyst
Position Summary
The Data Engineer/Data Analyst is responsible for designing, building and maintaining our cloud-based data ecosystem while also delivering high-value analytics, reporting, and business insights. You'll work across the full data lifecycle - from engineering and modeling to visualization and strategic analysis - ensuring the organization has reliable, scalable, and actionable data.
KEY RESPONSIBILITIES
Data Engineering & Architecture (Primary Responsibility)
  • Design, provision, and configure cloud data warehouse and storage environments (e.g., Azure Synapse, Data Lake, Fabric).
  • Develop, test, and maintain scalable ETL/ELT pipelines using SQL, Azure Data Factory, Python, or similar tools.
  • Architect and implement dimensional models, data marts, and data cubes to support analytics and reporting needs.
  • Ensure data quality, reliability, and performance across all pipelines and data structures.
  • Create clear, comprehensive documentation for data systems, pipelines, and processes.

Analytics, Reporting & Business Insights (Secondary Focus)
  • Build and maintain impactful dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Looker.
  • Partner with business stakeholders to understand analytical needs and translate them into technical solutions.

Cross-Functional Collaboration & Strategy
  • Work closely with the team to ensure alignment on architecture, governance, and best practices.
  • Support the evolution of the organization's data strategy by identifying opportunities for automation, optimization, and improved insight delivery.
  • Contribute to the long-term vision of a scalable, modern data ecosystem that empowers business users.

QUALIFICATIONS
Knowledge, Skills and Abilities
Required:
  • Expert SQL Skills: Mastery of SQL for complex querying, performance tuning, and data manipulation.
  • Cloud Experience: Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP) in relation to data services.
  • Programming: Strong proficiency in Python for data manipulation and pipeline development.
  • Data Visualization: Experience building reports and dashboards with a major BI tool (e.g., Tableau, Looker, Power BI).
  • Strong organizational, planning, and problem-solving skills
  • Proven ability to manage deadlines and priorities in a fast-paced environment
  • Excellent written and verbal communication skills
  • Familiarity with ERP systems (Epicor P21 preferred), WMS, or operational reporting tools
  • Execution-focused with strong follow-through
  • Detail-oriented while able to see the bigger picture
  • Results-driven mindset aligned with business outcomes

Nice-to-Have Skill:
  • AI/ML Familiarity: Understanding of data preparation for Artificial Intelligence (AI) and Machine Learning (ML) models and experience with related data tools.

Education and Experience
  • Technical Proficiency: 3+ years of professional experience in data engineering, ETL development, and data modeling.
  • Experience with specific tools mentioned (Azure Data Factory, Power BI, etc.).
  • Experience in Business Analysis or formal requirements gathering.
  • Bachelor's degree in business, Information Systems, Computer Science or related field preferred
  • Experience managing cross-functional initiatives with multiple stakeholders a plus
  • Experience in industrial distribution, manufacturing, or supply chain environments preferred
  • Experience supporting process improvement or operational transformation initiatives

Physical Requirements
  • Prolonged periods of sitting at a desk and working on a computer.

Apply