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Remote Data Analyst Jobs in High Ridge, MO (NOW HIRING)

The Timberline Group

Data Analyst

Saint Louis, MO · On-site +1

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative team of talented professionals. You are not afraid to make impact where your opinion matters in a ...

Cliftonlarsonallen

Data Analyst Senior

Saint Louis, MO · On-site +1

$83K - $105K/yr

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard, or they work out details regarding data access to support a project. Our Data Analysts favorite ...

JLL

BI Analyst / Ingenious SME

Saint Louis, MO · Remote

This remote position offers the opportunity to make a direct impact on client satisfaction and operational excellence through your expertise in data visualization, analysis, and continuous process ...

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in High Ridge, MO

Remote Data Analyst information

See High Ridge, MO salary details

$31K

$75.5K

$124.2K

How much do remote data analyst jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote data analyst in High Ridge, MO is $75,463.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $88,600.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

More about Remote Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in High Ridge, MO? The most popular types of Data Analyst jobs in High Ridge, MO are:
What job categories do people searching Remote Data Analyst jobs in High Ridge, MO look for? The top searched job categories for Remote Data Analyst jobs in High Ridge, MO are:
What cities near High Ridge, MO are hiring for Remote Data Analyst jobs? Cities near High Ridge, MO with the most Remote Data Analyst job openings:
Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in High Ridge, MO as of July 2026, with employment types broken down into 5% Internship, 85% Full Time, 5% Temporary, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $75,463 per year, or $36.3 per hour.
Data Analyst

Data Analyst

The Timberline Group

Saint Louis, MO • On-site, Remote

Full-time

Re-posted 9 days ago

Job description

Not eligible for C2C
Candidates must be legally authorized to work in the US without sponsorship.
Must reside in the US
Ever dream of doing work that makes a difference? Want to join a growing company? Here it is! We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative team of talented professionals. You are not afraid to make impact where your opinion matters in a company that has a masterful, mature history that operates as best-in-class.
We are seeking a skilled Data Analyst to design and develop dynamic, actionable dashboards by integrating data from diverse ERP systems. The role involves extracting, transforming, and consolidating data from multiple sources, ensuring accuracy and consistency in reporting. The ideal candidate will excel in creating insightful visualizations that drive business decisions while maintaining a strong focus on data integrity and performance optimization. Collaboration with cross-functional teams to understand and translate business requirements into impactful dashboards is essential.
The Data Analyst will work to support our St. Louis region.
As a Data Analyst, you will:
  • Extract, transform, and load (ETL) data from multiple SQL tables into Power BI.
  • Design and build interactive dashboards and reports tailored to financial performance metrics and trends.
  • Optimize SQL queries for performance in Power BI data models.
  • Ensure data integrity and consistency during integration.
  • Collaborate with stakeholders to understand reporting requirements including, but not limited to dynamic KPI dashboards and variance analysis reports.
  • Connect Power BI to Epicor and Microsoft Dynamics 365 for seamless data extraction and visualization.
  • Collaborate with IT to ensure proper data flows between systems and Power BI.
  • Troubleshoot and optimize ERP data connections for efficiency and reliability.
  • Build robust data models in Power BI to analyze financial datasets, including budgeting, forecasting, pricing and profitability analysis.
  • Use advanced DAX formulas and Power Query to derive insights from complex ERP datasets.
  • Ensure data integrity by reconciling Power BI outputs with Epicor and Microsoft Dynamics 365 records.
  • Partner with finance teams to understand business requirements and deliver custom reporting solutions.
  • Work with ERP administrators to enhance the usability and functionality of Epicor and Dynamics 365 data for reporting purposes.
  • Automate routine financial reporting by leveraging Power BI and ERP integration capabilities.
  • Identify and implement process improvements to streamline financial operations and reporting cycles.
  • Train finance and operational teams on utilizing Power BI dashboards and ERP-integrated reports.
  • Act as a subject matter expert for Power BI and ERP reporting capabilities within the organization.
About You:
  • Bachelor's degree in Finance, Information Systems, Data Analytics, or a related field.
  • 3-5 years of experience in financial analysis or business intelligence.
  • Strong expertise in Power BI, including DAX, Power Query, SQL skills (query optimization, joins, stored procedures) and data modeling.
  • Ability to translate business requirements into actionable dashboards.
  • Advanced knowledge of SQL for data extraction and manipulation.
  • Familiarity with financial processes, including P&L analysis, budgeting, and forecasting.
  • Excellent communication skills to explain complex data insights to non-technical stakeholders.
  • Strong problem-solving and critical-thinking abilities.
  • Knowledge of Python/R for data manipulation (optional but beneficial).
  • Experience with Power Query or other ETL tools.
  • Familiarity with Azure or cloud-based data services (if applicable).
  • Familiarity with Epicor and/or Dynamics 365.

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