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Home Based Data Analyst Jobs in Springfield, MO (NOW HIRING)

Capstone IT

Principal Data Engineer

Springfield, MO

... analytics, and marketing intelligence platforms. This role will be responsible for designing, optimizing, and delivering modern cloud-based data solutions leveraging Snowflake, Google Cloud Platform ...

Bass Pro Shops

Manager, BI - Onsite

Springfield, MO · On-site

This is an onsite position, based in Springfield, MO. ESSENTIAL FUNCTIONS: * Lead the BI team in delivering high-quality data analytics and reporting solutions * Design, develop, and maintain ...

Enterprise

Entegral Financial Analyst

Springfield, MO · On-site

$75K - $90K/yr

This role is ideal for a data-driven analytical thinker who thrives on translating complex datasets ... WHAT WE OFFER We are a teleworking-first organization with work from home and hybrid employees.

OMB Bank

Credit Analyst

Springfield, MO · On-site

Candidates need to be able to identify credit requirements based on funding method, including ... home office that allows for the handling of private and confidential data, documents, and ...

Ra

Marketing Analytics Manager

Buffalo, MO · On-site

You will be doing project-based analytics which includes Marketing Mix Modeling, Multi-Channel ... Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other ...

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Home Based Data Analyst information

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$30.9K

$75.2K

$123.7K

How much do home based data analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for home based data analyst in Springfield, MO is $75,172.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,200.00 per year, depending on experience, location, and employer.

Is 40 too late for data science?

A home-based data analyst role typically requires skills in data manipulation, statistical analysis, and tools like Excel, SQL, or Python. Age is not a barrier; many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

How can I make $100,000 a year working from home?

Home-based data analysts can reach a $100,000 annual income by gaining advanced skills in data analysis, programming, and tools like SQL, Python, or R, and obtaining relevant certifications. Increasing experience, specializing in high-demand industries, and working as a freelancer or consultant can also help achieve higher earnings from a remote setting.

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

To thrive as a Home Based Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or economics. Experience with technical tools like SQL, Excel, Python, and data visualization platforms (e.g., Tableau or Power BI) is crucial, along with knowledge of remote collaboration software. Excellent attention to detail, problem-solving ability, and clear communication help you interpret data accurately and present actionable insights to stakeholders. These skills ensure you can independently manage, analyze, and report data effectively while collaborating remotely with teams and clients.

How do home-based data analysts typically collaborate with team members while working remotely?

Home-based data analysts often use a variety of digital tools to stay connected and collaborate with their teams, such as project management platforms, instant messaging apps, and video conferencing software. Regular virtual meetings and real-time document sharing are common practices to ensure alignment on projects and data-driven decisions. Effective communication skills and proactive reporting help maintain transparency and foster teamwork despite the physical distance. By leveraging cloud-based analytics platforms, analysts can seamlessly share insights and work jointly on datasets with colleagues across different locations.

How can I make 2000 a week working from home?

Home-based data analysts can increase earnings by taking on multiple freelance or contract projects, developing specialized skills in data analysis tools, and building a strong client network. Earning $2000 weekly typically requires consistent work, advanced skills, and possibly working full-time hours or higher-paying projects.

What is a Home Based Data Analyst?

A Home Based Data Analyst is a professional who works remotely from their home to collect, process, and analyze data to help organizations make informed decisions. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. The role typically involves working with large volumes of data, ensuring data quality, and presenting findings to stakeholders. Home Based Data Analysts must have strong analytical skills, attention to detail, and proficiency in data analysis software such as Excel, SQL, or Python. Remote data analysts often collaborate with teams and clients virtually.

Can you work from home as a data analyst?

Home-based data analysts perform their job remotely, analyzing data, creating reports, and using tools like Excel, SQL, or data visualization software from their own location. Many companies offer remote data analyst positions, often requiring strong communication skills and proficiency with data tools. Flexibility in schedule and self-discipline are important for success in a home-based role.
What are the most commonly searched types of Data Analyst jobs in Springfield, MO? The most popular types of Data Analyst jobs in Springfield, MO are:
What cities near Springfield, MO are hiring for Home Based Data Analyst jobs? Cities near Springfield, MO with the most Home Based Data Analyst job openings:
Home Based Data Analyst jobs near you

Store Operations Data Analyst

O'Reilly Auto Parts

Springfield, MO • On-site

Full-time

Re-posted 26 days ago

O'Reilly Auto Parts rating

5.3

Company rating: 5.3 out of 10

Based on 1,873 frontline employees who took The Breakroom Quiz

545th of 728 rated retailers

Job description

Job Summary:
O'Reilly Auto Parts is a company with a strong promote-from-within philosophy and a proven track record of growth and stability. They are seeking a Store Operations Data Analyst to work with field and corporate leadership to organize and present key business insights using data analysis and visualization tools, ultimately helping to make important operational decisions based on performance KPIs and other business needs.
Responsibilities:
• Make use of all available datasets to accomplish business objectives.
• Initiate and monitor systems, process, and recurring reports in accordance with production schedule (weekly, monthly quarterly etc.), to ensure accuracy and timely execution.
• Document requirements for the creation of new dashboards, visualizations and reports in BI tools.
• Use existing data, processes, and reports to fulfill the needs of field leadership, stores as well as any departments supported by the store operations data analysis team.
• Assist with design and creation of new dashboards and reports as assigned.
• Provide insight into existing operational reports, TN applications, dashboards, and identify opportunities for improvement.
• Communicate with responsible parties when abnormalities are identified.
• Troubleshooting the reporting database environment and reports.
• Learn and use all data sources and software used by Store Operations data analysis team, including BI tools, data warehouse, adhoc data feeds such as CSV or Excel files, Access or Postgres databases to provide insights to the store operations department and other supported departments.
• Training end users on new reports and dashboards.
Qualifications:
Required:
• 2 year or 4 year degree, preferably in Business, CIS, Computer Science, Economics or Mathematics
• Strong analytical skills
• Complex query statement construction experience (SQL/MySQL)
• Acute attention to detail prior experience working with relational databases, large datasets, and ETL processes
• Experience transforming data into usable information for non-technical consumers
• Strong interpersonal, communication, and collaborative skills
• Able to provide a high level of customer service inside and outside the team
• Proficient with Excel, Access, and Word
• Flexible and adaptable to new direction as business problems change
Preferred:
• DOMO or other Bi Tools experience
• Excellent verbal/writing skills
• Self-motivated Ability to work with limited supervision
• Collaboration and creativity, Commitment to participate in additional training
• Experience in Automotive Retail or Service Industries
Company:
O’Reilly Auto parts is a specialty retailer of automotive aftermarket parts, tools, supplies, equipment and accessories. Founded in 1957, the company is headquartered in Springfield, USA, with a team of 10001+ employees. The company is currently Late Stage.

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