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Remote Data Transformation Analyst Jobs in Missouri

Data Engineer - Multiple Positions

Chesterfield, MO ยท Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Guide Big Data Transformations: Implementation of comprehensive big data projects, including the ...

$88K - $106K/yr

... fully remote environment. If you enjoy building resilient data platforms and driving cloud ... Develop Python scripts and database procedures to automate data processing, transformation ...

$66K - $83K/yr

... transformation across multiple markets. As a Senior/Lead Data Analyst, you will work at the ... Working in a fully remote, international environment, you will contribute to high-impact projects ...

Data Analytics Engineer

Saint Louis, MO ยท On-site +1

$111K - $133K/yr

Implement data mapping, data transformation, automated testing and data validation. * Contribute ... Strong analytical and problem-solving skills, with the ability to make data-driven decisions.

$94K - $124K/yr

Join a strategic data transformation initiative where you will help design and shape a modern Azure ... Fully remote contract opportunity for Europe-based professionals. * Opportunity to lead the ...

$112K - $148K/yr

Write complex SQL queries for advanced data transformation, aggregation, and analytics optimization within BigQuery or equivalent platforms. * Apply modern Test-Driven Development (TDD) methodologies ...

$20/hr

Our partner is looking for a Paid Remote Data Collection - Multilingual Video Recording Project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

... scale digital transformation initiative within the energy sector. This position focuses on ... Working in a remote-first environment, you will contribute to process improvements, data migration ...

Identify risks involving data quality, privacy, security, compliance, bias, hallucination, workflow ... Coach consultants and analysts through structured problem solving and responsible AI use. Build ...

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Remote Data Transformation Analyst information

What are some common challenges faced by remote data transformation analysts and how can they be addressed?

Remote Data Transformation Analysts often encounter challenges such as ensuring data accuracy across multiple sources, collaborating effectively with geographically dispersed teams, and managing tight project deadlines. To address these, it's important to establish clear communication channels, use project management tools to track progress, and routinely validate data transformations to maintain quality. Proactively seeking feedback from team members and stakeholders can also help quickly identify and resolve any issues, fostering a more efficient and collaborative remote work environment.

What is a remote data transformation analyst?

A Remote Data Transformation Analyst is a professional who specializes in converting, cleaning, and organizing raw data into usable formats for analysis, all while working from a remote location. They work with large datasets, using tools and programming languages such as SQL, Python, or ETL (Extract, Transform, Load) platforms to ensure data accuracy and consistency. Their work supports business intelligence, reporting, and decision-making processes by making data accessible and actionable for stakeholders. Remote Data Transformation Analysts often collaborate with data engineers, data scientists, and other IT professionals to deliver high-quality data solutions.

What is the difference between Remote Data Transformation Analyst vs Remote Data Engineer?

AspectRemote Data Transformation AnalystRemote Data Engineer
Required CredentialsBachelor's in Data Science, IT, or related field; SQL, Excel, data visualization skillsBachelor's or higher in Computer Science, Data Engineering; SQL, Python, cloud platforms
Work EnvironmentRemote, often part-time or project-based, collaborating with analysts and business teamsRemote or hybrid, involved in building and maintaining data pipelines and infrastructure
Employer & Industry UsageBusiness intelligence firms, finance, healthcare, retailTech companies, finance, e-commerce, large enterprises

The Remote Data Transformation Analyst focuses on cleaning, transforming, and visualizing data to support decision-making, while the Remote Data Engineer designs and maintains the data infrastructure and pipelines. Both roles require SQL skills and often work remotely, but Data Engineers typically have more programming and infrastructure responsibilities.

What are the key skills and qualifications needed to thrive as a remote data transformation analyst, and why are they important?

To thrive as a Remote Data Transformation Analyst, you need strong analytical skills, proficiency in data manipulation, and a background in computer science, information systems, or a related field. Familiarity with ETL tools (like Talend or Informatica), SQL, and data visualization platforms, as well as certifications in data analytics or related areas, are typically required. Excellent attention to detail, problem-solving abilities, and effective remote communication skills help you stand out in this role. These skills ensure accurate data transformation, seamless collaboration across distributed teams, and the delivery of actionable insights for business decision-making.
What are popular job titles related to Remote Data Transformation Analyst jobs in Missouri? For Remote Data Transformation Analyst jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Remote Data Transformation Analyst jobs in Missouri look for? The top searched job categories for Remote Data Transformation Analyst jobs in Missouri are:
What cities in Missouri are hiring for Remote Data Transformation Analyst jobs? Cities in Missouri with the most Remote Data Transformation Analyst job openings:
Infographic showing various Remote Data Transformation Analyst job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Remote Data Analyst/ Dashboard Developer

TriOptus LLC

Saint Louis, MO โ€ข On-site, Remote

Other

Re-posted 8 days ago


Job description

Job Code - Data Analyst / Dashboard Developer
Duration - 3 year contract
Description: The Continuous Improvement team is seeking an energetic and experienced individual for a position in data analytics. This role is responsible for analyzing data, identifying, and resolving data discrepancies, across multiple business applications specializing in transforming reporting and analytics across key areas of the business. This role will be involved in improving, and arming our leaders with the right reports, tools, and insights to drive the business. It entails applying rigor to the existing reporting and analytics landscape and understanding how to realize benefits across visualization, automation, and consumption of information that ultimately promote a stronger and healthier data culture.
Overview: Our team is responsible for the continuous improvement of the lean agile operating model and delivery teams to optimize Strategic Platform Team's effectiveness of executing on agile principles with a focus on Testing, DevOps and Release Management. The team develops and tracks process performance measures, identifies and implements process requirements, drives process improvements and adoption of Best Practices.
Responsibilities
  • Develop, design, and maintain PowerBI dashboards and analytics
  • Collect, refine, and prepare data for analytics and visualization
  • Manage and utilize the PowerBI platform to extract meaningful insights from it
  • Prepare reports using various visualization and data modeling methods
  • Connecting data sources, importing data, and transforming data for Business intelligence.
  • Determines and documents data mapping rules for movement of medium to high complexity data between applications.
  • Investigates and resolves data issues across platforms and applications, including discrepancies of definition, format and function.
  • Discuss the requirements effectively with the client teams, and with internal teams.

Top Skills
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or another quantitively-oriented degree
  • Minimum of Three (2) years of experience leveraging Tableau or PowerBI.
  • Minimum of Three (2) years of experience leveraging advanced SQL in a previous role.
  • Minimum of One (1) year of experience leveraging automation and ETL jobs to assist in data transformation and clean-up.
  • Minimum of One (1) year of experience using ML (machine learning), statistical predictive modeling, multivariate/regression, clustering, time series/survival analysis.
  • Preferred: Mastery of SQL and Python (NumPy, Pandas)
  • Experience working with extremely large datasets in a fast-paced, entrepreneurial and fluid environment.
  • Experience in client engagements, interpreting client's business challenges, and recommendations for business stakeholders.
  • Experience developing visualization such as reports, charts, tables, and other visual aids in support of findings.
  • Strong analytical and problem-solving skills with a demonstrable passion to dig into terabytes of data and quickly construct tools.
  • Proven excellence at formulating, understanding, and solving complex, non-routine problems.
  • Outstanding organization and presentation skills.
  • Strong written and verbal communication skills.