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Remote Analytics Jobs in Maryland (NOW HIRING)

Index Analytics

Team Lead (Analytics)

Baltimore, MD · On-site +1

$155K - $200K/yr

Company Overview Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. At the center of our company ...

Aston Carter

Remote Compensation Analyst

Silver Spring, MD · On-site +1

$101K - $135K/yr

Remote Compensation Analyst The Compensation Analyst provides comprehensive compensation support to internal stakeholders, including base salary administration, short-term incentives, and long-term ...

Index Analytics

Data Analyst

Baltimore, MD · On-site +1

$75K - $110K/yr

Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. At the center of our company culture is a commitment ...

Harris

... analytical, and customer service skills. Utility industry experience is required for this role. This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

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Remote Analytics information

What is a remote analytics professional?

A Remote Analytics job involves analyzing data and generating insights for an organization while working from a location outside of the traditional office, such as your home or another remote setting. Professionals in this field use statistical tools, data visualization, and reporting software to help companies make data-driven decisions. Their responsibilities can include gathering data, performing analyses, creating dashboards, and presenting findings to stakeholders—all accomplished through digital collaboration tools. This role is ideal for individuals who are comfortable working independently and have strong analytical and technical skills.

How do remote analytics professionals typically collaborate with cross-functional teams while working off-site?

Remote analytics professionals frequently collaborate with product managers, engineers, and business stakeholders through virtual meetings, shared dashboards, and collaborative project management tools. Effective communication and documentation are key to ensuring clear understanding of analytical findings and project goals. Many organizations use cloud-based platforms that allow real-time data sharing and feedback, enabling remote analytics teams to stay integrated with on-site colleagues and decision-makers. Regular check-ins and clear reporting structures also help maintain strong connections and accountability.

What are the key skills and qualifications needed to thrive as a remote analytics professional, and why are they important?

A Remote Analytics professional needs strong analytical skills, proficiency in data interpretation, and usually a background in statistics, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is typically required, along with experience in cloud-based analytics environments. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for collaborating across remote teams and presenting insights effectively. These skills and qualities enable professionals to extract actionable insights from data, drive decision-making, and succeed in a remote work setting.

What is the difference between Remote Analytics vs Remote Data Analyst?

AspectRemote AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Analytics, Data Science, or related fields; often certifications in analytics toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentPrimarily uses analytics platforms, programming languages, and visualization tools remotelyFocuses on data interpretation, reporting, and visualization remotely
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firms for strategic insightsCommon in finance, healthcare, and marketing sectors for data reporting

Remote Analytics and Remote Data Analyst roles share overlapping skills and work environments, but Remote Analytics often involves more advanced data modeling and strategic insights, while Remote Data Analysts focus on data interpretation and reporting. Both roles are vital in data-driven industries and frequently searched together by job seekers.

Can you work remotely in data analytics?

Remote data analytics jobs are common and often involve analyzing large datasets using tools like Excel, SQL, or Python. Many employers offer remote positions with flexible schedules, requiring strong communication skills and proficiency with data visualization tools. Certification and experience can enhance remote work opportunities in this field.

What are the most commonly searched types of Analytics jobs in Maryland?

The most popular types of Analytics jobs in Maryland are:

What are popular job titles related to Remote Analytics jobs in Maryland?

For Remote Analytics jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Remote Analytics jobs in Maryland look for?

The top searched job categories for Remote Analytics jobs in Maryland are:

What cities in Maryland are hiring for Remote Analytics jobs?

Cities in Maryland with the most Remote Analytics job openings:

Remote Analytics jobs near you
Infographic showing various Remote Analytics job openings in Maryland as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, and 3% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution.

Team Lead (Analytics)

Index Analytics

Baltimore, MD • On-site, Remote

$155K - $200K/yr

Other

Posted 5 days ago

Job description

Company Overview
Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work. We place a priority on promoting a supportive and collegial team environment and enhancing staff experience through career development and educational opportunities.
Position Overview
The Team Lead (Analytics) will collaborate with customers and staff to define product requirements, build a deep understanding of analytics products, and communicate effectively with both business and technical audiences to deliver impactful solutions. Using Lean-Agile principles, this role is responsible for analytics product development, addressing client needs, and driving outcomes by delivering value through scalable, customer-centered systems.
In this position, the lead will apply policy research, data analysis, visualization, and statistical methods to advise clients on project and product design. Responsibilities include conducting studies, interpreting data, and preparing reports using established research principles, theories, concepts, and techniques. This individual is expected to demonstrate ingenuity, creativity, and resourcefulness in the application and advancement of sophisticated health services research methods.
Working closely with an Agile team, the lead will clarify technical requirements and mentor data analysts and junior staff in developing analytics products that integrate seamlessly into a high-quality decision-support platform. The role requires independent judgment to identify, expose, and resolve issues related to the development and implementation of research studies and analytic products. In addition, the individual will serve as a consultant to management, contributing to long-range planning and identifying new or emerging areas for research innovation.
Key Responsibilities
  • Lead complex analytics initiatives by planning and executing advanced, analytics-focused technical projects; developing sound experimental and scientific study designs; and overseeing high-quality data analysis and reporting outputs.
  • Own and manage analytics product lifecycles by maintaining and prioritizing product backlogs across multiple analytics products, defining product vision, roadmaps, MVPs, and requirements, and incorporating stakeholder and customer feedback to drive value-based outcomes.
  • Translate product vision into delivered solutions by clearly communicating requirements to developers, testers, and stakeholders; guiding implementation; and demonstrating product functionality to ensure alignment with business and scientific objectives.
  • Produce and communicate high-quality analytical deliverables by preparing, reviewing, and approving complex reports, presentation materials, and draft manuscripts, and translating complex analytical findings for client, management, and scientific audiences through written and oral communications.
  • Serve as a trusted technical advisor and collaborator by interfacing with client's subject matter experts, data analysts, and internal teams to ensure smooth project execution, while providing expert guidance to management on technical and analytical considerations.
  • Develop team capability and technical rigor by training and mentoring junior staff in advanced data interpretation, ensuring research methods and technical procedures are current and valid, and serving as a technical resource across the organization.
  • Manage direct reports and perform supervisory duties to include review and approval of time and work performed, monitor work performance and escalate issues to senior management, help establish individual goals, and encourage career growth.

  • U.S. citizen or otherwise authorized to work in the United States and able to demonstrate physical residency in the U.S. for at least three (3) of the past five (5) years.
  • Bachelor's degree with eight (8) or more years of experience including four (4) or more years of experience supporting federal and state health agencies conducting health services research using Medicaid claims and CHIP data is required.
  • Experience conducting complex data analysis, use of visualization techniques to support data driven decision making for effective program administration, policy making, and program oversight with overall improvements.
  • Demonstrated experience leading teams of technical and non-technical resources within an Agile project framework to deliver analytics products that support scientific decision-making.
  • Willingness and ability to assume cross-functional responsibilities as needed to ensure continuity of business operations.
  • Excellent written and oral communication skills, with the ability to convey complex information clearly and effectively.
  • Prior experience with federal clients such as Centers for Medicare and Medicaid Services offering proactive solutions to enable changes to policy and health outcomes is preferred.

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