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Data Analyst Night Shift Remote Jobs in Springfield, MO

Remote micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety ... safety data analysis. * Expertise in reconciling aggregate safety data and identifying ...

FP&A Manager - AI Trainer

Springfield, MO ยท Remote

$50 - $100/hr

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Payroll Manager

Springfield, MO ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... remote workers nationwide. With seven interconnected EMR platforms feeding data into UKG, our ... Ensure wageandhour compliance, including overtime, shift differentials, on call pay, bonuses ...

Springfield, MO, Open to Remote Job Summary New Day Healthcare is seeking an HRIS Administrator to ... The ideal candidate will combine technical proficiency with strong analytical skills, ensuring data ...

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Biostatistician

Springfield, MO ยท Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... missing data handling in alignment with the statistical analysis plan (SAP). * Identify ...

Showing results 21-40

Data Analyst Night Shift Remote information

See Springfield, MO salary details

$30.9K

$75.2K

$123.7K

How much do data analyst night shift remote jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data analyst night shift remote 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 does a data analyst night shift remote do?

A Data Analyst Night Shift Remote is responsible for collecting, processing, and analyzing data to provide actionable insights, but works outside typical business hours and usually from a remote location. Their primary duties may include generating daily reports, monitoring data trends, maintaining databases, and supporting teams in different time zones. This role is ideal for individuals who prefer or need to work overnight and thrive in independent, virtual work environments. Additionally, night shift remote analysts often help ensure continuous data operations and may address urgent issues that arise after standard business hours.

What are the key skills and qualifications needed to thrive as a data analyst night shift remote?

To thrive as a Data Analyst Night Shift Remote, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or economics. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and programming languages like Python or R is typically required. Excellent time management, self-motivation, and clear communication are crucial soft skills, especially in a remote and overnight setting. These skills ensure accurate data-driven insights, effective collaboration across time zones, and high productivity in a remote work environment.

How does working as a night shift remote data analyst impact communication and collaboration with daytime teams?

As a night shift remote Data Analyst, you'll often collaborate asynchronously with colleagues who work standard daytime hours. Effective communication is key; you'll likely use project management tools, detailed handover notes, and regular status updates to ensure alignment. While real-time meetings may be limited, most organizations schedule overlap hours or utilize messaging platforms to address urgent questions. Proactively reaching out and documenting your work clearly helps maintain smooth workflows and fosters strong team connections, even across time zones.

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

AspectData Analyst Night Shift RemoteData Scientist Night Shift Remote
Required CredentialsBachelor's in Statistics, Data Analysis, or related field; often certifications like Microsoft Excel, SQLBachelor's or Master's in Computer Science, Statistics, or related; certifications in Python, R, Machine Learning
Work EnvironmentRemote, night shift, primarily data processing and reportingRemote, night shift, involves advanced modeling and algorithm development
Employer & Industry UsageBusiness, finance, healthcare, retailTech, finance, healthcare, research institutions

Data Analyst Night Shift Remote roles focus on data collection, cleaning, and reporting, requiring strong analytical skills. Data Scientist Night Shift Remote positions involve building predictive models and advanced analytics. Both roles are remote and night-shift, but Data Scientists typically need more advanced technical skills and higher education.

What are popular job titles related to Data Analyst Night Shift Remote jobs in Springfield, MO?

For Data Analyst Night Shift Remote jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Data Analyst Night Shift Remote jobs in Springfield, MO look for?

The top searched job categories for Data Analyst Night Shift Remote jobs in Springfield, MO are:

Clinical Pharmacy Technicians

micro1 AI

Springfield, MO โ€ข Remote

$70 - $80/hr

Part-time

Posted 16 days ago


Job description

Role Title: Pharmacovigilance Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Pharmacovigilance Experts to contribute their advanced drug safety expertise on a key customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters. This opportunity is ideal for professionals experienced in authoring and reviewing complex safety reports, passionate about data quality, and committed to clear written and verbal communication.


Scope of Work

  1. Author and review evaluation tasks based on DSURs, PSURs/PBRERs, and associated safety data and case-level records.
  2. Apply expert judgment to assess the accuracy and adequacy of interval safety findings, signal evaluations, and benefit-risk conclusions in alignment with best practices.
  3. Assess template and structural conformity to ICH E2F and ICH E2C requirements, including proper section content, presentation of cumulative versus interval data, and completeness of appendices.
  4. Reconcile figures and case counts across report sections and data sources, identifying and documenting discrepancies significant for regulatory review.
  5. Evaluate safety conclusions in light of new data or events, and provide clear, structured written rationales supporting your determinations.
  6. Deliver structured feedback to inform the development of AI-driven tools for pharmacovigilance documentation and analysis.


Preferred Qualifications

  1. 5+ years of pharmacovigilance or drug safety experience at a sponsor, CRO, or as an independent consultant.
  2. Demonstrated proficiency in authoring or reviewing DSURs and/or PSURs/PBRERs from start to finish.
  3. Working fluency with ICH E2F, ICH E2C(R2), and GVP guidelines, including signal management and benefit-risk assessment methodology.
  4. Hands-on experience with MedDRA coding, seriousness and causality assessment, expectedness determination, and aggregate safety data analysis.
  5. Expertise in reconciling aggregate safety data and identifying inconsistencies with case-level information.
  6. Advanced degree in life sciences, pharmacy, nursing, or medicine (PharmD, MD, MSc, or equivalent).
  7. Experience in both development-stage and post-marketing safety reporting, QPPV or deputy QPPV roles, safety committee participation, or AI-assisted safety review tools is a plus.