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

burton

Retention Marketing Manager

Burton, MI · On-site +1

... strong remote candidates. What You Get to Do: * Develop and execute targeted email, SMS, and CRM ... Analyze customer data to identify opportunities for lifecycle marketing improvements. * Partner ...

burton

Retention Marketing Manager

Burton, MI · On-site +1

... strong remote candidates. What You Get to Do: * Develop and execute targeted email, SMS, and CRM ... Analyze customer data to identify opportunities for lifecycle marketing improvements. * Partner ...

burton

Retention Marketing Manager

Burton, MI · On-site +1

... strong remote candidates. What You Get to Do: * Develop and execute targeted email, SMS, and CRM ... Analyze customer data to identify opportunities for lifecycle marketing improvements. * Partner ...

burton

Retention Marketing Manager

Burton, MI · On-site +1

... strong remote candidates. What You Get to Do: * Develop and execute targeted email, SMS, and CRM ... Analyze customer data to identify opportunities for lifecycle marketing improvements. * Partner ...

burton

Paid Media Manager

Burton, MI · On-site +1

$109K - $113K/yr

... to considering strong remote candidates. What You Get to Do: * Develop and execute targeted ... Analyze customer data to identify opportunities for targeting and campaign performance improvements.

burton

Paid Media Manager

Burton, MI · On-site +1

$109K - $113K/yr

... to considering strong remote candidates. What You Get to Do: * Develop and execute targeted ... Analyze customer data to identify opportunities for targeting and campaign performance improvements.

burton

Paid Media Manager

Burton, MI · On-site +1

$109K - $113K/yr

... to considering strong remote candidates. What You Get to Do: * Develop and execute targeted ... Analyze customer data to identify opportunities for targeting and campaign performance improvements.

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All JobsData Analyst JobsRemote Data Analyst JobsRemote Data Analyst Jobs in Davison, MI

Remote Data Analyst information

See Davison, MI salary details

$30.8K

$74.9K

$123.2K

How much do remote data analyst jobs pay per year?

As of Aug 24, 2026, the average yearly pay for remote data analyst in Davison, MI is $74,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $87,900.00 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.
More about Remote Data Analyst jobs

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

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

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

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

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

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

Remote Data Analyst jobs near you
Infographic showing various Remote Data Analyst job openings in Davison, MI as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $74,857 per year, or $36 per hour.

Data Architect (Remote)

Auburn Hills, MI • Remote

Delan Associates, Inc
51 - 200 employees
Learn more about Delan Associates, Incexternal

$65.25 - $84/hr

Full-time

Re-posted 19 hours ago

Job description

Position Description

The Senior Enterprise Data Architect will be responsible for designing and implementing solutions within Business Intelligence and Data Management software and hardware to meet business requests. The ideal candidate should be able to create data solutions leveraging Master Data Management (MDM) and Data Warehouse (DW) technologies. This role will work under the direct leadership of the Senior Manager for Enterprise Data Architecture. Knowledge of industry-standard Business Intelligence software and Data Integration Management technologies is required.

General

Must be self-motivated and able to work independently while consistently meeting deadlines.

Strong business and technical verbal and written communication skills.

Experience creating metrics and dashboard analytics.

Strong working knowledge of different analysis tools and techniques.

Demonstrated analytical ability and creativity in developing and implementing solutions for complex problems on medium-sized projects.

Strong SQL skills.

Functions Performed

This individual may be asked to solely perform these functions or may choose to delegate some of these functions to other members of their team, per agreement with the Senior Manager for Enterprise Data Architecture. Ultimately, responsibility for ensuring that the functions are performed rests with this position.

General Functions/Responsibilities

Architect and design business intelligence solutions for accessing and analyzing data and metadata.

Experience with Enterprise Data Warehouse (EDW), Data Mart, and Operational Data Store (ODS) architectures.

Expertise in data modeling, including star, snowflake, and other dimensional modeling techniques.

Experience architecting and developing database solutions using both OLAP and OLTP technologies.

Extensive experience in architecture, data modeling, design, development, data migration, and data integration throughout the Software Development Life Cycle (SDLC).

Participate in and/or lead design sessions, demonstrations, prototype sessions, testing, and training workshops with business users and IT associates.

Develop and maintain technical documentation.

Support business projects by providing Subject Matter Expert (SME) knowledge in Enterprise Data Management.