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Remote Business Data Analyst Jobs (NOW HIRING)

They work in many industries, including business, finance, science, medicine, and government To excel as a remote data analyst, professionals must possess a combination of technical skills, soft ...

Data Analyst (Remote)

Denver, CO · Remote

$80K - $100K/yr

At NuView Analytics we help companies accelerate the time to insights from their data. We do this ... business through their data. Salary: $80k100K + bonus + benefits Location: 100% remote for US-based ...

You will play a key role in interpreting data to provide actionable insights for our business ... Perform statistical analysis of data using tools such as SQL, R, or Python. * Create and maintain ...

Senior Data Analyst (Remote)

Los Angeles, CA · On-site +1

$92K - $116K/yr

Mastery of SQL, Python, and other scripting/automation techniques * 5 years proven experience as a Data Analyst or Business Data Analyst * Technical expertise regarding data models, database design ...

Data Analyst

Baltimore, MD · On-site +1

$75K - $110K/yr

Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related ... POSITION OVERVIEW The Data Analyst will support data analysis, reporting, and analytics solution ...

The role partners closely with Data Engineering, Data Domains, DevOps, Data Governance, Analytics, and Business teams to ensure domain-specific data products are accurate, traceable, well-documented ...

Showing results 41-60

Remote Business Data Analyst information

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

As of Sep 7, 2026, the average hourly pay for remote business data analyst in the United States is $45.45, according to ZipRecruiter salary data. Most workers in this role earn between $35.10 and $53.37 per hour, depending on experience, location, and employer.

What is a remote business data analyst?

A Remote Business Data Analyst is responsible for collecting, analyzing, and interpreting business data to help organizations make informed decisions, all while working from a remote location. They use various tools and techniques to identify trends, improve processes, and support strategic planning. Common tasks include data visualization, reporting, and collaboration with stakeholders to optimize business performance. This role typically requires strong analytical skills, proficiency in data tools like SQL, Excel, or BI software, and the ability to communicate insights effectively.

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

To excel as a Remote Business Data Analyst, you need strong analytical abilities, a solid understanding of business operations, and typically a degree in data analysis, business, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and advanced proficiency in Excel are commonly required, and certifications like CBDA or CAP can be advantageous. Excellent communication, problem-solving, and self-motivation are vital soft skills, especially when working remotely across teams and time zones. These combined abilities ensure you can effectively interpret complex datasets, communicate insights, and contribute actionable recommendations that drive business decisions.

What are the typical challenges faced by remote business data analysts, and how can they be overcome?

Remote Business Data Analysts often face challenges such as communicating complex data-driven insights to non-technical stakeholders and collaborating across different time zones. To address these issues, it's important to use clear data visualization techniques, maintain proactive communication through collaboration platforms, and set regular check-ins with your team. Building strong self-discipline and time management skills is also essential for staying productive while working independently. Many organizations support remote analysts with access to robust collaboration tools and encourage a strong feedback culture, which can help overcome these common hurdles.

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What cities are hiring for Remote Business Data Analyst jobs?

Cities with the most Remote Business Data Analyst job openings:

What are the most commonly searched types of Business Data Analyst jobs?

The most popular types of Business Data Analyst jobs are:

What states have the most Remote Business Data Analyst jobs?

States with the most job openings for Remote Business Data Analyst jobs include:

Infographic showing various Remote Business Data Analyst job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, and 3% Contract. Highlights an 90% Physical, 3% Hybrid, and 7% Remote job distribution, with an average salary of $94,537 per year, or $45.5 per hour.

Data Analyst (Full-time, Remote)

Integrity Management Services, Inc.

Alexandria, VA • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

About Us

http://www.integritym.com

Integrity Management Services, Inc. (IntegrityM) is an award-winning, women-owned small business specializing in assisting government and commercial clients in compliance and program integrity efforts, including the prevention and detection of fraud, waste and abuse in government programs. Results are achieved through data analytics, technology solutions, audit, investigation, and medical review.

At IntegrityM, we offer a culture of opportunity, recognition, collaboration, and supporting our community. We thrive off of these fundamental elements that make IntegrityM a great place to work. Our small, flexible workplace offers an exceptional quality of life and promotes corporate-driven sustainability. We deliver creative solutions that exceed goals and foster a dynamic, idea-driven environment that nurtures our employees' professional development. Large company perks...Small company feel!

Description:

In this role, the Data Analyst will provide analytical data support through data extraction, transformation, and analysis utilizing Python, SQL, and other statistical and data engineering tools. The Data Analyst will support data integration, ETL processes, reporting, and advanced analytics while working independently and collaboratively with project stakeholders to develop high-quality, data-driven solutions.

Job Responsibilities:

Business Analysis and Data Modeling

  • Design, develop, maintain, and optimize ETL (Extract, Transform, Load) processes to support data integration, validation, reporting, and analytics requirements.
  • Conduct routine and advanced business analysis using statistical techniques, data mining, and explanatory or predictive modeling to support operational and strategic decisions.
  • Build and apply complex analytical models and data solutions using tools such as Python, Snowflake, Databricks R, SQL and SAS to address project-specific requirements and support operational decision-making.
  • Research industry best practices and contribute to the development of data-driven solutions and actionable recommendations for improving business operations.
  • Write, troubleshoot, and optimize complex SQL queries, stored procedures, views, and data pipelines across relational and cloud-based data platforms.
  • Perform data profiling, cleansing, transformation, reconciliation, and quality assurance activities to ensure the accuracy and integrity of analytical datasets.

Client Engagement and Reporting

  • Collaborate with internal and external clients to gather analytical requirements and deliver ad hoc reports and data products that meet defined objectives.
  • Interpret business data and translate findings into clear, meaningful insights for diverse audiences, including technical and non-technical stakeholders.
  • Collaborate with business users, data engineers, and technical stakeholders to define data requirements and implement scalable data ingestion, transformation, and reporting solutions.

Collaboration and Communication

  • Participate in team projects and brainstorming sessions to evaluate methodologies and study designs that support program goals.
  • Communicate analytical methods and results clearly, ensuring procedures and outcomes are well understood by both technical teams and end users.
  • Research best practices and supports developing the solutions and recommendations for the current business operations.
  • Performs routine business analysis using various techniques (e.g. statistical analysis, explanatory and predictive modeling, data mining).
  • Provides business data interpretation.
  • Maintains strict confidentiality and security of all sensitive and/or business confidential information obtained or accessed during the course of business and/or contract operations.
  • Ensures compliance with all applicable privacy and security training requirements (both IntegrityM and external/client-based), whether on an annual or ad/hoc basis.

Requirements

  • Minimum of a Bachelor's Degree or a related discipline, or in another relevant field in health-related, scientific, or public policy/business discipline with extensive quantitative methods/statistical coursework.
  • Possesses at least 3 years of relevant experience in data analytics, SQL development, ETL processes, reporting, business intelligence, or related data management functions.
  • Strong proficiency in Python, R, SQL, and SAS, with experience utilizing cloud-based data platforms such as Snowflake and Databricks to support data analysis, project requirements, reporting, automation, and operational decision-making.
  • Experience designing, developing, maintaining, and troubleshooting ETL/ELT processes and data integration workflows within cloud-based environments such as Snowflake, Databricks, Azure, AWS, or similar platforms.
  • Strong SQL proficiency, including writing complex queries, joins, views, and stored procedures; performing data validation and performance optimization; and supporting data warehousing, reporting, and analytics initiatives.
  • Knowledge of intermediate data analysis techniques, including data profiling, trend analysis, statistical methods, and data quality assessment.
  • Responds to tasks or requests in a cooperative and timely manner.
  • Demonstrates adaptability to change and initiates or identifies change when necessary.
  • Ability to communicate effectively in writing and orally conveying results in concise yet non-technically language to a variety of different audiences. 
  • Work collaboratively with team members to meet the needs of the organization.
  • Willingness to work collaboratively with team members on multiple tasks concurrently.
  • Independently can make good judgments and decisions without a high degree of supervision. 
  • Detail-oriented and able to work under deadlines.
  • Ability to take initiative, to maintain confidentiality, to meet deadlines, and to work in a team environment.
  • Ability to report work activity on a timely basis.
  • Ability to multitask and prioritize assignments while meeting deadlines.
  • Must pass post hire background screening checks.
  • For remote work, required to have wired and/or wireless internet access.
  • Ability to obtain security clearance, if required by Client/Contract.

Benefits

This position is eligible for the benefits applicable to full-time regular employees, such as:  vacation, sick leave, paid holidays, health insurance, dental insurance, vision insurance, short- and long-term disability, life insurance, employee assistance plan, 401(K) retirement plan, and educational benefits.

U.S. remote annual salary range: $55,000-$85,000/annual

For candidates in jurisdictions requiring range disclosure, this is the good-faith range for this role; final pay may vary by work location and  job-related factors such as skills, experience, location, and internal equity. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

IntegrityM is an Equal Opportunity Employer and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, and gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.