ZipRecruiter

Log In

2

Remote Data Analysis Jobs in Detroit, MI (NOW HIRING)

Cooper Standard

Senior System Analyst

Northville, MI · On-site +1

... remote teams * Proven ability to identify and resolve requirement gaps by working with project ... Experience developing adhoc reports and performing complex data analysis within BI tools * Strong ...

Cooper Standard

Senior System Analyst

Northville, MI · On-site +1

... remote teams * Proven ability to identify and resolve requirement gaps by working with project ... Experience developing adhoc reports and performing complex data analysis within BI tools * Strong ...

eShocan

P100824 Insights Analyst

Detroit, MI · On-site +1

CONTRACT INSIGHTS ANALYST, MARKETING - 6-MONTH CONTRACT This is a remote position. Work ... data analysis and manipulation - this is a hard requirement • Hands-on Tableau experience ...

previous pagenext page

Showing results 21-40

All JobsData Analysis JobsRemote Data Analysis JobsRemote Data Analysis Jobs in Detroit, MI

Remote Data Analysis information

What is remote data analysis?

Remote data analysis refers to the process of examining, interpreting, and drawing insights from data using digital tools, while working from a location outside of a traditional office setting. Professionals in this field utilize statistical software, databases, and visualization tools to analyze large datasets and help organizations make informed decisions. Remote data analysts often collaborate with team members and stakeholders virtually, ensuring that data-driven strategies are implemented effectively. This role requires strong analytical skills, attention to detail, and the ability to communicate findings clearly.

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, statistical knowledge, and a background in fields like mathematics, statistics, or computer science. Proficiency with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management help remote analysts present insights clearly and stay productive without direct supervision. These skills and qualities ensure accurate data-driven decisions and effective remote collaboration with stakeholders.

How do remote data analysts typically collaborate with team members and stakeholders?

Remote data analysts often use a combination of communication and project management tools—such as Slack, Microsoft Teams, and Zoom—to stay connected with colleagues and stakeholders. Regular virtual meetings, shared dashboards, and collaborative platforms enable them to discuss findings, gather requirements, and provide updates on ongoing projects. Clear documentation and proactive communication are essential to ensure alignment, especially when working across different time zones or departments. Building strong relationships with team members virtually can help streamline workflows and facilitate effective decision-making.

What is the difference between Remote Data Analysis vs Remote Data Entry?

AspectRemote Data AnalysisRemote Data Entry
Required SkillsData interpretation, statistical tools, analytical skillsTyping speed, accuracy, basic computer skills
Tools UsedExcel, SQL, data visualization softwareSpreadsheets, data entry platforms
Work EnvironmentAnalytical tasks, report creation, data insightsData input, database updating, record management
Common CertificationsData analysis certifications, Excel proficiencyNone typically required

Remote Data Analysis involves interpreting data, creating reports, and providing insights using analytical tools, while Remote Data Entry focuses on inputting and managing data accurately. Both roles are performed remotely and require computer skills, but Data Analysis demands analytical expertise and familiarity with data tools, whereas Data Entry emphasizes speed and accuracy in data input tasks.

Can I get a remote job as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data visualization, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Many companies offer remote roles with flexible schedules, and a strong portfolio or certification can improve job prospects.

Is data analysis a good career for remote work?

Data analysis is well-suited for remote work because it primarily involves computer-based tasks such as working with datasets, using tools like Excel, SQL, and Python, and communicating insights through reports. Many companies offer remote data analyst positions, and strong skills in data visualization and self-management are important for success in a remote environment.

What are the most commonly searched types of Data Analysis jobs in Detroit, MI?

The most popular types of Data Analysis jobs in Detroit, MI are:

What are popular job titles related to Remote Data Analysis jobs in Detroit, MI?

For Remote Data Analysis jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Remote Data Analysis jobs in Detroit, MI look for?

The top searched job categories for Remote Data Analysis jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Remote Data Analysis jobs?

Cities near Detroit, MI with the most Remote Data Analysis job openings:

Remote Data Analysis jobs near you
Infographic showing various Remote Data Analysis job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Architect (Remote)

Delan Associates, Inc

Auburn Hills, MI • Remote

$65.25 - $84/hr

Full-time

Re-posted 14 days 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.