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Remote Data Entry Analyst Jobs in Rochester, MI (NOW HIRING)

IPS Technology Services

QA Analyst

Detroit, MI · On-site +1

REMOTE Long Term contract Responsible for the planning, integration, test casing, scripting and ... Develop, document and maintain the test data, data validation, end to end testing flows.; Conducts ...

IPS Technology Services

QA Analyst

Detroit, MI · Remote

REMOTE Long Term contract Responsible for the planning, integration, test casing, scripting and ... Develop, document and maintain the test data, data validation, end to end testing flows.; Conducts ...

Demand.com

Marketing Director (Remote)

Detroit, MI · Remote

DemandFactor is a data-driven B2B growth and demand-generation company helping brands find, engage ... Manage marketing KPIs, analytics, attribution, and budget * Build and grow the marketing team What ...

DataAnnotation

Treasury Analyst - AI Trainer

Warren, MI · Remote

$50 - $60/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 ...

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Remote Data Entry Analyst information

See Rochester, MI salary details

$12

$30

$56

How much do remote data entry analyst jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for remote data entry analyst in Rochester, MI is $30.31, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $33.85 per hour, depending on experience, location, and employer.

What is a Remote Data Entry Analyst job?

A Remote Data Entry Analyst is responsible for inputting, updating, and managing data in digital systems while working from a remote location. They ensure accuracy, consistency, and completeness of data, often using spreadsheets, databases, or specialized software. This role requires strong attention to detail, typing proficiency, and the ability to follow data management procedures. Analysts may work with financial, healthcare, customer, or product-related data, depending on the employer. Effective communication and time management skills are essential for meeting deadlines and ensuring data integrity.

What are some typical challenges faced by Remote Data Entry Analysts, and how can they be managed?

Remote Data Entry Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively without direct supervision, and staying connected with team members from a distance. To overcome these, it's important to establish a structured work schedule, take regular short breaks to maintain productivity, and leverage collaboration tools like Slack, Zoom, or project management platforms to stay in sync with colleagues. Setting clear daily or weekly goals can also help keep you motivated and on track. Proactively reaching out for feedback and assistance ensures that you remain integrated with your team and can resolve any issues promptly.

What are the key skills and qualifications needed to thrive in the Remote Data Entry Analyst position, and why are they important?

To thrive as a Remote Data Entry Analyst, you need exceptional attention to detail, fast and accurate typing skills, and a solid grasp of data management concepts, often demonstrated by a high school diploma or equivalent. Proficiency with data entry software such as Microsoft Excel, Google Sheets, and enterprise databases (like Salesforce or SAP) is commonly required, and knowledge of basic data security protocols is beneficial. Strong self-motivation, time management, and clear written communication set standout candidates apart in remote settings. These abilities ensure that data is accurately processed, deadlines are consistently met, and communication remains seamless despite working remotely.

What job categories do people searching Remote Data Entry Analyst jobs in Rochester, MI look for? The top searched job categories for Remote Data Entry Analyst jobs in Rochester, MI are:
What cities near Rochester, MI are hiring for Remote Data Entry Analyst jobs? Cities near Rochester, MI with the most Remote Data Entry Analyst job openings:
Remote Data Entry Analyst jobs near you
Infographic showing various Remote Data Entry Analyst job openings in Rochester, MI as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $63,039 per year, or $30.3 per hour.
Senior Full-Stack BI Architect / Fabric Data Engineer

Senior Full-Stack BI Architect / Fabric Data Engineer

Proactive Technology Management

Ferndale, MI • On-site, Remote

$62.50 - $83.75/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago

Job description

About Us

At Proactive Technology Management, we're transforming how businesses harness data to drive innovation and informed decision-making. As leaders in the SMB space, we leverage cutting-edge technologies to deliver actionable insights that give our clients a competitive advantage. We're seeking a Senior Full-Stack BI Architect / Fabric Data Engineer to design and implement innovative, domain-driven data solutions that humanize data and empower decision-makers. If you have a passion for making data meaningful and impactful, we want to hear from you! 

Role Summary

As a Senior Full-Stack BI Architect / Fabric Data Engineer, you will lead the design and development of robust, enterprise-grade data solutions that prioritize human-centric design through the use of ubiquitous language and domain-driven principles. You will leverage deep expertise in medallion architecture, advanced data modeling, and visualization to ensure our clients receive intuitive, actionable insights. Your technical expertise in the Microsoft Cloud Data Stack, DAX, Power Query M, SQL, and Spark Python will drive success in building scalable, user-friendly solutions. 

Key Responsibilities 
  • Lead the design and implementation of ETL/ELT pipelines within a medallion architecture (Bronze, Silver, and Gold layers) to ensure data quality, scalability, and accessibility across use cases.  
  • Architect and develop advanced data models that reflect domain-driven design principles, aligning with business domains and using ubiquitous language to ensure clarity and usability for all stakeholders.  
  • Design and implement star and snowflake schemas, along with medallion schema practices, to provide flexible, high-performance data structures for analytics.  
  • Create dynamic, user-centric dashboards and advanced reports in Power BI, empowering stakeholders with real-time insights and actionable metrics.  
  • Leverage DAX and Power Query M to craft sophisticated calculations and transformations that enhance data usability and business relevance.  
  • Build and optimize SQL-based solutions for database management, queries, and data integration, ensuring efficiency and scalability.  
  • Use Spark Python for processing large datasets and performing advanced analytics to meet complex business requirements.  
  • Collaborate with business leaders and cross-functional teams to understand data needs, define key performance indicators (KPIs), and ensure alignment with organizational goals.  
  • Stay informed on advancements in data engineering, business intelligence, and analytics, continuously driving innovation and improvement.  
  • Mentor team members to build organizational capacity in BI and data engineering best practices.  

Requirements

Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field; advanced certifications in data engineering or BI are a plus.  
  • 7+ years of experience in data engineering, BI architecture, or a related role, with a focus on enterprise-grade solutions.  
  • In-depth expertise in medallion architecture, data modeling (star schemas, snowflake schemas), and best practices for data warehousing.  
  • Proven ability to implement domain-driven design (DDD) principles, ensuring data solutions reflect business domains and are accessible through ubiquitous language.  
  • Expert-level proficiency in Power BI, DAX, Power Query M, and SQL, with demonstrated success delivering scalable, impactful BI solutions.  
  • Strong programming skills with Spark Python for advanced data processing and analytics.  
  • Experience with the Microsoft Cloud Data Stack (Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric) and other cloud technologies.  
  • A track record of translating complex datasets into intuitive insights, creating value for both technical and non-technical stakeholders.  
  • Exceptional problem-solving skills, attention to detail, and ability to thrive in a fast-paced, dynamic environment.  
  • Strong communication and leadership skills, with a focus on collaboration and stakeholder engagement.  

Benefits

  • Competitive compensation tailored to senior-level expertise.  
  • Opportunities to shape data strategy and lead transformative BI projects.  
  • Ongoing professional development through advanced training and certifications.  
  • A supportive, innovative culture that values diversity, inclusion, and creativity.  
  • Flexible remote work arrangements to support work-life balance.
  • Comprehensive health, dental, and vision insurance
  • 401(k) retirement plan with company match

If you're ready to lead the next evolution of business intelligence-harnessing the power of medallion architecture, domain-driven design, and user-centric modeling-apply today. Help us transform data into a powerful, humanized tool for business success. 

Apply