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Remote Data Analysis Excel Jobs in Missouri (NOW HIRING)

Jobgether

This is a remote opportunity for an experienced Machine Learning Specialist to design and deliver data-driven products and AI solutions. You will work across machine learning, data science, analytics ...

unigroup

Pricing Analyst

Des Peres, MO · On-site +1

Remote. While this is a remote position, occasional on-site attendance may be required as business ... Identify trends and opportunities through data analysis to improve pricing effectiveness and ...

micro1 AI

Cheminformatics Specialist - Remote

Columbia, MO · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

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Remote Data Analysis Excel information

What is a remote data analysis Excel job?

A Remote Data Analysis Excel job involves analyzing and interpreting data using Microsoft Excel while working from a location outside of a traditional office setting. Professionals in this role use Excel to clean, organize, and visualize data, often creating reports, charts, and dashboards for decision-making purposes. They may work with large datasets, apply formulas, and utilize advanced Excel features like pivot tables and macros. Communication and collaboration are typically done through digital platforms since the work is performed remotely.

What are the key skills and qualifications needed to thrive as a remote data analyst specializing in Excel?

To thrive as a Remote Data Analyst specializing in Excel, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field. Advanced knowledge of Microsoft Excel functions, data visualization tools, and familiarity with databases or business intelligence systems are typically required. Attention to detail, problem-solving abilities, and effective communication skills help you deliver clear insights and collaborate remotely. These competencies ensure accurate data analysis, informed decision-making, and successful teamwork in a virtual work environment.

What are some common challenges faced by remote data analysts working primarily with Excel, and how can they be addressed?

Remote data analysts using Excel often face challenges such as managing large datasets that may slow down performance, ensuring data accuracy when collaborating asynchronously, and maintaining version control on shared files. To address these, many teams use cloud-based solutions like OneDrive or SharePoint for real-time collaboration and version history, and leverage Excel's advanced features such as Power Query and PivotTables for efficient data handling. Regular communication with team members and clearly defined file-naming conventions also help prevent errors and ensure everyone is working with the latest data.

What is the difference between Remote Data Analysis Excel vs Remote Data Analysis Power BI?

AspectRemote Data Analysis ExcelRemote Data Analysis Power BI
Required CredentialsExcel certifications, data analysis skillsPower BI certifications, data visualization skills
Work EnvironmentPrimarily Excel-based, cloud collaboration toolsPower BI dashboards, cloud platforms, collaboration tools
Industry UsageFinancial, marketing, operations analysisBusiness intelligence, reporting, data visualization
Search & Comparison IntentUnderstanding Excel data analysis rolesComparing data visualization tools in analysis roles

Remote Data Analysis Excel focuses on data manipulation and analysis within Excel, suitable for roles emphasizing spreadsheet skills. Remote Data Analysis Power BI involves creating interactive dashboards and visualizations, often used for advanced reporting. Both roles require data analysis skills but differ in tools and output focus, making them distinct yet related career paths in data analysis.

What are popular job titles related to Remote Data Analysis Excel jobs in Missouri?

For Remote Data Analysis Excel jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Remote Data Analysis Excel jobs in Missouri look for?

The top searched job categories for Remote Data Analysis Excel jobs in Missouri are:

What cities in Missouri are hiring for Remote Data Analysis Excel jobs?

Cities in Missouri with the most Remote Data Analysis Excel job openings:

Remote Data Analysis Excel jobs near you

Machine Learning Specialist

Jobgether

Remote

Contractor

Posted 6 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Machine Learning Specialist based in Netherlands.

This is a remote opportunity for an experienced Machine Learning Specialist to design and deliver data-driven products and AI solutions.
You will work across machine learning, data science, analytics, and predictive modeling to solve complex business challenges.
The role combines hands-on technical delivery with collaboration across data, engineering, analytics, and project teams.
You will transform large and complex datasets into actionable insights, models, reports, and intelligent applications.
There is also an opportunity to influence broader AI initiatives by providing technical guidance and helping shape analytical products.
The position places strong emphasis on responsible AI, including privacy, transparency, accountability, and ethical data practices.
It is well suited to a technically strong professional who enjoys turning advanced analytics into practical business outcomes.

Accountabilities
  • Design, develop, train, validate, and evaluate machine learning models for business and enterprise use cases.
  • Analyze large and complex datasets to identify meaningful patterns, generate insights, and support data-driven decision-making.
  • Prepare, clean, normalize, structure, and organize data for predictive and prescriptive modeling.
  • Develop analytical models, data products, dashboards, reports, and visualizations that communicate findings effectively.
  • Integrate machine learning models into applications, business processes, and operational workflows.
  • Gather, clarify, and document business and technical requirements for AI and analytics initiatives.
  • Collaborate closely with data engineers, analysts, developers, and project teams to deliver end-to-end data solutions.
  • Provide technical leadership, guidance, and expertise across data science and AI initiatives.
  • Support the development of full-stack analytics and AI applications when required.
  • Promote responsible AI practices by considering privacy, accountability, transparency, security, and ethical implications throughout the development lifecycle.
  • Identify, communicate, and appropriately escalate technical risks, dependencies, and issues within a multi-vendor environment.
  • Develop and share reusable analytical models, methodologies, and data products to improve organizational capabilities.
Requirements
  • 6+ years of professional experience using statistical and programming languages for data analysis, machine learning, and related quantitative work.
  • 6+ years of experience designing and implementing analytical and quantitative models.
  • 6+ years of experience preparing and transforming data for predictive and prescriptive modeling.
  • 6+ years of experience applying AI and machine learning techniques to real-world business or enterprise challenges.
  • Strong understanding of data analysis methodologies, statistical techniques, predictive modeling, and machine learning concepts.
  • Demonstrated ability to work with large, complex datasets and translate analytical results into practical recommendations.
  • Strong programming and analytical capabilities, with the ability to develop robust, maintainable data and ML solutions.
  • Experience collaborating effectively with multidisciplinary teams, including data engineers, analysts, developers, and project stakeholders.
  • Ability to understand business requirements and translate them into appropriate technical and analytical approaches.
  • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and non-technical audiences.
  • A responsible and thoughtful approach to AI development, with awareness of privacy, transparency, accountability, and ethical AI principles.
  • Ability to work independently, manage priorities, provide technical guidance, and escalate risks effectively in a complex delivery environment.
Benefits
  • Fully remote working arrangement.
  • Opportunity to work on AI, machine learning, analytics, and data-driven enterprise initiatives.
  • Exposure to complex business problems and large-scale datasets.
  • Cross-functional collaboration with data, engineering, analytics, and project teams.
  • Opportunity to provide technical leadership and influence the development of analytical data products.
  • Environment focused on responsible, transparent, and ethical use of AI.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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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.
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