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Remote Data Analyst Jobs in Kalamazoo, MI (NOW HIRING)

Data Analysis: * Collect and analyze data to gain insights into user behaviour, product usage, and marketing performance. * Use data-driven decisions to guide growth strategies and experiments. Viral ...

Strong attention to detail and ability to organize and analyze data accurately. * Ability to work effectively in a fully remote environment. Preferred Qualifications * Experience supporting ERP ...

Staff Biostatistician (Remote)

Portage, MI · On-site +1

$124K - $207K/yr

Work Flexibility: Remote Stryker is seeking a Staff Biostatistician to join our Instruments ... Develop statistical analysis plans, including methodology, derived variables, data handling rules ...

Staff Biostatistician (Remote)

Portage, MI · On-site +1

$124K - $207K/yr

Work Flexibility: Remote Stryker is seeking a Staff Biostatistician to join our Instruments ... Develop statistical analysis plans, including methodology, derived variables, data handling rules ...

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

... cloud, analytics, and emerging technology environments. * Capability maturity - Support the ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Security Consultant

Three Rivers, MI · On-site +1

$130K - $150K/yr

... cloud, analytics, and emerging technology environments. * Capability maturity - Support the ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Senior Financial Analyst, GTM

Three Rivers, MI · On-site +1

$103K - $134K/yr

Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx ... PLEASE NOTE: while this role will be 100% remote, we are looking for candidates based on the East ...

Senior Staff Data Engineer

Portage, MI · On-site +1

$153K - $255K/yr

Remote Join a team focused on building scalable, enterprise-grade data platforms that support ... Bachelor's degree in Computer Science, Data Analytics, Mathematics, Statistics, Data Science, or a ...

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Remote Data Analyst information

See Kalamazoo, MI salary details

$32.1K

$78K

$128.3K

How much do remote data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote data analyst in Kalamazoo, MI is $77,963.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $91,500.00 per year, depending on experience, location, and employer.

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 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.

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

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.

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 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.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Kalamazoo, MI?

The most popular types of Data Analyst jobs in Kalamazoo, MI are:

What are popular job titles related to Remote Data Analyst jobs in Kalamazoo, MI?

For Remote Data Analyst jobs in Kalamazoo, MI, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst jobs in Kalamazoo, MI look for?

The top searched job categories for Remote Data Analyst jobs in Kalamazoo, MI are:

What cities near Kalamazoo, MI are hiring for Remote Data Analyst jobs?

Cities near Kalamazoo, MI with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Kalamazoo, MI as of August 2026, with employment types broken down into 91% Full Time, and 9% Part Time. Highlights an 100% Remote job distribution, with an average salary of $77,963 per year, or $37.5 per hour.

Lead Analyst, Clinical Data Sciences (Remote)

Stryker

Portage, MI • On-site, Remote

$124K - $207K/yr

Full-time

Posted 4 days ago


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

136th of 499 rated machine equipment manufacturers


Job description

Work Flexibility: Remote or Hybrid or Onsite

Stryker is hiring a Lead Analyst, Clinical Data Sciences for our Instruments division. This is a U.S.-based remote position, with preference for candidates located in the Eastern or Central time zones.

Join Stryker Instruments in a role that sits at the intersection of clinical evidence, analytics, and business strategy. This position serves as a key connector between clinical questions and data-driven insights, helping stakeholders across Medical Affairs, Clinical Research, Regulatory Affairs, Reimbursement, Market Access, and commercial teams make informed decisions based on high-quality evidence. As part of a growing Clinical Data Sciences function, you will help establish scalable evidence-management capabilities while shaping how clinical evidence is evaluated and leveraged across the organization.

This role combines evidence strategy, evidence management, and insight generation, partnering closely with technical experts who build data products and automation solutions. The position offers broad exposure across Stryker Instruments' portfolio and supports initiatives that influence product, regulatory, clinical, and investment decisions.

What You Will Do

  • Lead implementation and management of evidence workflows, including systematic review processes, data extraction, quality control, reporting, and evidence repositories.

  • Build and scale evidence-management processes across multiple business units, transforming clinical and regulatory requirements into standardized, repeatable workflows.

  • Translate clinical, regulatory, reimbursement, and business questions into structured analyses and evidence-based recommendations.

  • Generate and interpret insights from clinical literature, real-world evidence, registries, claims data, and other scientific sources.

  • Partner with Medical Affairs, Clinical Research, Regulatory Affairs, Market Access, and business stakeholders to prioritize evidence needs and communicate findings.

  • Support clinical evaluation reports, post-market clinical follow-up activities, publications, scientific communications, and regulatory submissions through evidence synthesis and analytical support.

  • Evaluate clinical evidence across product portfolios, identify evidence gaps, and support prioritization of future evidence-generation investments.

  • Drive continuous improvement by partnering with technical teams to automate evidence workflows, enhance data solutions, and expand adoption of evidence-management tools.

What You Need

Required

  • Bachelor's degree in Life Sciences, Biomedical Engineering, Epidemiology, Health Economics and Outcomes Research (HEOR), Public Health, Data Science, or a related field.
  • Minimum 4 years of experience in clinical evidence, medical affairs analytics, HEOR, epidemiology, clinical research, or data science with clinical application.
  • Experience translating clinical, scientific, regulatory, or business questions into structured analyses and actionable insights.
  • Experience conducting clinical literature reviews, evidence synthesis, systematic reviews, or evidence-management activities.
  • Experience presenting analytical findings and evidence-based recommendations to non-technical stakeholders.

Preferred

  • Advanced degree (MS, MPH, PhD, or equivalent) in Life Sciences, Engineering, Epidemiology, Biostatistics, Public Health, Data Science, or related field.
  • Hands-on experience with DistillerSR, ReadCube, or similar evidence-management platforms.
  • Familiarity with medical device regulatory requirements, including FDA submissions, European Union Medical Device Regulation (EU MDR), Clinical Evaluation Reports (CERs), and Post-Market Clinical Follow-Up (PMCF) activities.
  • Experience with analytics and visualization tools such as Power BI, Tableau, R, Python, or SQL.
  • Experience working with real-world data sources, healthcare claims, registries, or observational datasets.

United States of America Pay Ranges:

  • USN: $95,700 - $159,500 USD Annual
  • US5: $100,500 - $167,500 USD Annual
  • US10: $105,300 - $175,500 USD Annual
  • US15: $110,100 - $183,400 USD Annual
  • US20: $114,800 - $191,400 USD Annual
  • US30: $124,400 - $207,400 USD Annual
View the U.S. work location and transparency guide to find the pay range for your location.

Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer - M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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