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

The Timberline Group

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 ...

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 ...

TSMG

Remote Pilot in Command (RPIC)

Saint Louis, MO · Remote

FAA Part 107 Remote Pilot Certificate * Experience with commercial UAS operations * Strong ... If you would like more information about how your data is processed, please contact us. apply for ...

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

Remote Data information

See High Ridge, MO salary details

$42K

$150.7K

$222.4K

How much do remote data jobs pay per year?

As of Jul 10, 2026, the average yearly pay for remote data in High Ridge, MO is $150,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,900.00 and $155,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

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 background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What job categories do people searching Remote Data jobs in High Ridge, MO look for? The top searched job categories for Remote Data jobs in High Ridge, MO are:
What cities near High Ridge, MO are hiring for Remote Data jobs? Cities near High Ridge, MO with the most Remote Data job openings:
Remote Data jobs near you
Data Analytics Engineer

Data Analytics Engineer

The Timberline Group

Saint Louis, MO • On-site, Remote

$111K - $133K/yr

Full-time

Re-posted 5 days ago

Job description

*** Must be a US Citizen or Green Card only Applicant ****
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 transactional databases to a Data Warehouse to enable actionable business insights.The data in the Warehouse will serve as a foundation for Reporting, Machine Learning Analysis and Generative AI.The ideal candidate will be a strong technical resource with effective communication and leadership skills to be a member of data engineering team. The role requires collaboration with cross functional teams and ability to play multiple roles depending upon the situation.The ideal candidate should have strong bias for action, able to dig into details when requirements are fuzzy and have a passion to push forward to progress. If you are an ambitious technologist who is looking to grow, and who is passionate about building world-class products and technology, we encourage you to apply for this exciting opportunity.
What You'll Do
    • Implementation of data ingestion pipelines following the guidelines and best practices defined.
    • Implement data mapping, data transformation, automated testing and data validation.
    • Contribute and implement standards and best practices within the Data Engineering Team.
    • Write detailed stories, sprint grooming and actively contribute in the Agile software development life cycle.
    • Accountable for Delivery and 100% uptime of the Environments.
    • Collaborate with cross-functional teams, including ecosystem leadership and data insights teams, engineering, sales, and marketing to ensure all stakeholders are aligned.
    • Partner with scrum master daily to provide updates.
    • Partner with Data Insights team on a daily basis to stay aligned on priorities.
    • Stay up to date with the latest industry trends and emerging technologies to identify opportunities for innovation and growth.
    • Establish and maintain effective communication channels with internal and external stakeholders.
What You'll Need to Succeed
    • BS in Engineering, Business Administration, Statistics, Business Analytics, or applicable experience in related field
    • Minimum of (3) three years ofSDLC experience in ETL/ELT environments with tools/technologies such as Fivetran, dbt, SQL, AWS Redshift, Boomi, PowerBI , Git.
    • Ability to work on-site at least two days a week in St. Louis, MO.
    • Minimum of (2) years of experience in building out schemas for Analytical purposes.
    • Minimum (1) years of hands on experience AWS Cloud and Services such as AWS Glue, AWS Lambda, Python.
    • Familiar with ERP, CRM products such as Salesforce, NetSuite, Hubspot and Eloqua.
    • Strong development background and expert level skills with modern SDLC best practices.
    • Proven track record of delivering successful data initiatives.
    • Excellent communication and interpersonal skills, with the ability to build strong relationships with internal and external stakeholders.
    • Strong analytical and problem-solving skills, with the ability to make data-driven decisions.
    • Experience working in a fast-paced, agile environment.
    • Ability to prioritize and manage multiple projects simultaneously.

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