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

Brightli

Business Support Data Analyst

Springfield, MO · On-site

Business Support Data Analyst Location: Springfield, MO Department: Client Financial Services and ... Lead reporting-based improvement initiatives and recommend solutions that enhance operational ...

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 ...

Bass Pro Shops

Manager, BI - Onsite

Springfield, MO · On-site

$90 - $120/hr

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 ...

Ra

Marketing Analytics Manager

Buffalo, MO

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

See Springfield, MO salary details

$30.9K

$75.2K

$123.7K

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

As of Aug 20, 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.

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.

What are the key skills and qualifications needed to thrive as a home based data analyst?

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.

Is it possible to work remotely as a home based data analyst?

Home based data analysts can often work remotely, as the role primarily involves analyzing data using software tools like Excel, SQL, or Python, which can be accessed from any location with internet access. Many companies offer remote or flexible schedules for data analysis positions, especially with the increasing adoption of cloud-based collaboration tools. However, some roles may require occasional in-person meetings or specific certifications to qualify for remote work.

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

Merchandise Data Analyst

O'Reilly Auto Parts

Springfield, MO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

O'Reilly Auto Parts rating

5.3

Company rating: 5.3 out of 10

Based on 1,894 frontline employees who took The Breakroom Quiz

548th of 734 rated retailers

Job description

A Merchandise Data Analyst researches and explores data-based information using data analysis tools. The goal of a Merchandise Data Analyst is to share meaningful insights from data that helps our Product Management team and other key stakeholders make important operational decisions.
ESSENTIAL JOB FUNCTIONS
Create new merchandise reports in tools such as Excel, Access, MicroStrategy and Mastercard Test & Learn.
Use existing reports to fulfill the needs of the merchandise department and other departments supported by the Merchandise Data Team.
Provide insight into existing merchandise reports and identify opportunities for improvement.
Learn and use all data sources used by the Merchandise Data Team including MicroStrategy, supplyLINE, and A/B testing software to provide insights to the Merchandise Department and other supported departments.
Produce and monitor projects such as A/B tests, business plans, and marketing reports.
Ability to present complex information in an understandable and compelling manner to the Product Management team and key stakeholders.
Run weekly, monthly and quarterly reports.
SKILLS/EDUCATION/KNOWLEDGE/EXPERIENCE/ABILITIES
2 year or 4 year degree, preferably in Business/Marketing, CIS, Computer Science, Economics or Mathematics.
Strong analytical skills.
Strong interpersonal, communication, and collaborative skills.
Proficient with Excel and Word.
Proficient in SQL.
Experience with Tableau, Visual Basic, Python, or other similar coding languages.
Ability to work with limited supervision.
O'Reilly Auto Parts has a proven track record of growth and stability. O'Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.
Total Compensation Package:
  • Competitive Wages & Paid Time Off
  • Stock Purchase Plan & 401k with Employer Contributions Starting Day One
  • Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
  • Team Member Health/Wellbeing Programs
  • Tuition Educational Assistance Programs
  • Opportunities for Career Growth

O'Reilly Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national origin or ancestry (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and related medical conditions,) age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable.
Qualified individuals with a disability may be entitled to reasonable accommodation under the Americans with Disabilities Act. If you require a reasonable accommodation during the application or employment process, please send an email to: rar@oreillyauto.com or call (800) 471-7431 option , and provide your requested accommodation, and position details.

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