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From Home Data Analytics Jobs in Missouri (NOW HIRING)

Data Analytics Coop

Saint Louis, MO · On-site

$21 - $30/hr

Ability to organize, integrate, and analyze large quantities of data from multiple sources * Working analytical skills to address business problems, identify trends, and generate actionable insights

Data Analytics Coop

Saint Louis, MO · On-site

$21 - $30/hr

Ability to organize, integrate, and analyze large quantities of data from multiple sources * Working analytical skills to address business problems, identify trends, and generate actionable insights

Manager, Data Analytics

Anderson, MO · On-site

$80K - $155K/yr

As a Manager, Data Analytics, you will serve as a strategic analytics partner to Customer ... Programs range from high school completion to bachelor's degrees, including English Language ...

Manager, Data Analytics

Cassville, MO · On-site

$80K - $155K/yr

As a Manager, Data Analytics, you will serve as a strategic analytics partner to Customer ... Programs range from high school completion to bachelor's degrees, including English Language ...

Manager, Data Analytics

Noel, MO · On-site

$80K - $155K/yr

As a Manager, Data Analytics, you will serve as a strategic analytics partner to Customer ... Programs range from high school completion to bachelor's degrees, including English Language ...

Data Analytics Engineer

Saint Louis, MO · On-site +1

$111K - $133K/yr

The Data Analytics Engineer will be a part of the Data Engineering team whose primary mission is to build trusted Data Ingestion Pipelines to seamlessly move and transform data from SaaS and in house ...

Infrastructure Data Analytics Engineer

Earth City, MO · On-site

$108K - $130K/yr

Try new things, learn new skills and discover what you excel at-all from Day One. The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing ...

Programs range from high school completion to bachelor's degrees, including English Language ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

Programs range from high school completion to bachelor's degrees, including English Language ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

Senior Manager, Data Analytics

Noel, MO · On-site

$90K - $180K/yr

Programs range from high school completion to bachelor's degrees, including English Language ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

Big Data Analytics Developer

Saint Louis, MO · On-site

$51.50 - $66.75/hr

... entice or lure engineers from their employers. We represent only high caliber technical ... Senior Big Data Analytics Developer w/proven experience leading the design and build of 'Big Data ...

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From Home Data Analytics information

What is a work from home data analyst?

A work from home data analyst is a professional who collects, processes, and interprets data to help organizations make informed decisions—all while working remotely. They use statistical tools and software to analyze large datasets, identify trends, and create reports or visualizations. These analysts often collaborate with teams through digital communication platforms and can work in a variety of industries, such as finance, healthcare, or marketing. The flexibility of remote work allows them to perform their tasks from any location with a reliable internet connection.

What are the key skills and qualifications needed to thrive as a work from home data analyst?

To thrive as a Work-From-Home Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or data science. Experience with technical tools like SQL, Excel, Python, R, and data visualization platforms (e.g., Tableau or Power BI) is typically required. Excellent communication, self-motivation, and time management skills help remote analysts collaborate effectively and deliver insights independently. These competencies ensure accurate data interpretation, effective remote teamwork, and impactful business decision-making.

How do remote data analytics professionals typically collaborate with team members and stakeholders while working from home?

Remote data analytics professionals often use a combination of video meetings, instant messaging, and collaborative platforms to stay connected with their teams and stakeholders. Regular virtual stand-ups, shared dashboards, and cloud-based project management tools help ensure transparency and real-time updates on projects. Effective communication and proactive sharing of insights are important for building trust and ensuring that data-driven recommendations are clearly understood and implemented by business partners. While remote, you'll need to be comfortable with both asynchronous and synchronous collaboration to keep projects on track.

What is the difference between From Home Data Analytics vs From Home Data Analyst?

AspectFrom Home Data AnalyticsFrom Home Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Data Science, Analytics, or related field; proficiency in analytics tools
Work EnvironmentRemote, often project-based or consulting rolesRemote, typically in corporate or consulting settings
Employer & Industry UsageTech companies, consulting firms, finance, healthcareTech companies, finance, marketing, healthcare
Common Search & ComparisonYesYes

From Home Data Analytics involves analyzing data remotely across various industries, often focusing on strategic insights. From Home Data Analyst typically performs data analysis tasks remotely within specific organizations, focusing on reporting and operational insights. Both roles require similar skills and credentials but differ slightly in scope and industry application.

Can you work from home in data analytics?

Data analytics jobs often offer remote work options, especially for roles involving data analysis, reporting, and visualization that can be performed using tools like Excel, SQL, and Python. Many companies allow data analysts to work from home full-time or part-time, provided they have a reliable internet connection and the necessary software. Remote work arrangements depend on the employer's policies and the specific responsibilities of the role.

Is data analytics a good career for remote work?

Data analytics is well-suited for remote work because many tasks involve analyzing digital data, using tools like Excel, SQL, and visualization software. Professionals in this field can often collaborate virtually and manage their schedules independently, making remote work a common and viable option.

What are the most commonly searched types of Data Analytics jobs in Missouri?

The most popular types of Data Analytics jobs in Missouri are:

What are popular job titles related to From Home Data Analytics jobs in Missouri?

For From Home Data Analytics jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching From Home Data Analytics jobs in Missouri look for?

The top searched job categories for From Home Data Analytics jobs in Missouri are:

Data & Analytics Analyst

Endo International

Hazelwood, MO • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Why Us?

At Par Health, we believe great healthcare is built on getting the essentials right. We're looking for passionate, talented individuals who share our commitment to improving lives. With a global workforce, we lead with pride and purpose-prioritizing quality and safety while fostering a culture of continuous improvement, accountability, and teamwork. Elevating the Essentials isn't just our tagline, it's the higher standard we live by every day.

Job Description Summary

The Data & Analytics Associate supports the Data, Analytics & Automation Center of Excellence by assisting with reporting, dashboard development, data preparation, data quality activities, business analysis and automation initiatives. This role works closely with data engineers, analytics architects, BI developers and business stakeholders to help deliver trusted data products, analytics solutions and automation opportunities across the organization.
This is a developmental role intended to provide broad exposure to modern data platforms, Power BI, Microsoft Fabric, Power Platform and Microsoft Copilot technologies while building foundational technical, analytical and business skills.

Job Description

Data Analysis & Reporting

  • Assist in the development and maintenance of Power BI dashboards, reports and scorecards.
  • Create basic visualizations, KPI tracking reports and recurring analytics summaries.
  • Support business users in understanding available reports, datasets and data assets.
  • Validate report results and investigate apparent data discrepancies or unusual trends.
  • Perform ad hoc analysis to support business questions, operational reviews and decision-making.
Data Management & Quality
  • Support data cleansing, validation, profiling and quality improvement activities.
  • Assist with documenting data definitions, source systems, business rules and KPI calculations.
  • Help maintain metadata, data catalogs, dashboard inventories and data asset documentation.
  • Participate in testing datasets, pipelines, reports and data transformations prior to release.
  • Escalate data quality issues and support root-cause analysis with senior technical team members.
Automation & Process Improvement
  • Help identify opportunities for workflow improvement, report automation and manual-effort reduction.
  • Assist with development, testing and support of Power Automate flows and lightweight Power Platform solutions.
  • Support Power Apps and low-code tools used by business teams, under guidance from senior developers.
  • Document current-state processes, business requirements and success criteria for automation use cases.
  • Participate in user acceptance testing and post-deployment support for automation solutions.
Business Engagement & CoE Operations
  • Gather and document business requirements for reporting, analytics and automation requests.
  • Support the CoE intake process, request tracking, prioritization preparation and status reporting.
  • Assist with training materials, quick reference guides, knowledge articles and user communications.
  • Maintain solution documentation, meeting notes, action items and delivery artifacts.
  • Contribute to governance standards, templates and continuous improvement practices for the CoE.
Copilot and AI-Enabled Analytics Requirements
  • Demonstrated interest in Microsoft Copilot, generative AI and AI-enabled productivity tools.
  • Ability to use Microsoft 365 Copilot or comparable AI tools to improve documentation, analysis, meeting preparation, summarization and communication tasks.
  • Willingness to learn Power BI Copilot, Fabric Copilot, Copilot Studio and related Microsoft AI capabilities as the CoE matures.
  • Ability to validate AI-generated outputs against trusted data sources, documented definitions and business context before reuse or publication.
  • Ability to help business users understand effective prompting, responsible AI usage and appropriate limits of Copilot-generated insights.
  • Interest in supporting Copilot adoption by creating examples, quick tips, training materials and use-case documentation.

Education & Experience

Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business Analytics, Mathematics, Statistics, Engineering or a related field; equivalent education and experience may be considered.

0 to 3 years of experience in data analytics, reporting, business intelligence, information technology, business analysis or a related area. Internship or project experience is acceptable.

Knowledge

Familiarity with Power BI or a comparable reporting/visualization tool.

Basic understanding of databases, data relationships, reporting concepts and data quality principles.

Demonstrated curiosity, attention to detail and willingness to learn new technical tools.

Skills & Abilities

  • Strong Excel skills, including formulas, tables, pivots and basic data analysis techniques.
  • Basic SQL experience or demonstrated ability to query and work with structured datasets.
  • Strong written and verbal communication skills with the ability to ask good questions and document findings clearly.

Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.

EEO Statement:

We comply with all applicable federal, state, and local laws prohibiting discrimination and harassment, and provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or genetic information, or any other classification protected by federal, state or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.