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Remote Business Intelligence Data Analyst Jobs in Baltimore, MD

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 ... POSITION OVERVIEW The Data Analyst will support data analysis, reporting, and analytics solution ...

Index Analytics

Junior Data Analyst

Baltimore, MD · On-site +1

$61K - $84K/yr

This role integrates data analysis with business process analysis to ensure workflows, data capture ... intelligence (AI) tools, including but not limited to AI-generated responses, real-time ...

USALCO

Commercial Data Analyst

Baltimore, MD · Remote

Reconcile self-reported new and lost business entries in Salesforce against ERP actuals to improve ... Track and analyze market intelligence and key industry trends at a regional and local level to ...

Moore

Data Analyst

Lanham, MD · Remote

... business tools to inform client strategy. * Leverage your coding skills to transform data into ... remote

Under Armour

Lead, Enterprise Data Analyst

Baltimore, MD · On-site +1

... in business intelligence, data analytics, or data strategy roles, with a track record of delivering reporting solutions that drive business decisions. * Hands-on experience with AI tools such as ...

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Remote Business Intelligence Data Analyst information

See Baltimore, MD salary details

$45.2K

$99.2K

$162.5K

How much do remote business intelligence data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote business intelligence data analyst in Baltimore, MD is $99,229.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,500.00 and $115,300.00 per year, depending on experience, location, and employer.

What does a remote business intelligence data analyst do?

A Remote Business Intelligence Data Analyst collects, processes, and analyzes large sets of data to help organizations make informed business decisions. They use various analytical tools and techniques to identify trends, patterns, and insights from data. Working remotely, they collaborate with different teams, create visual reports, and provide actionable recommendations to improve business performance. Their role is crucial in transforming raw data into meaningful information that supports strategic planning.

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

A Remote Business Intelligence Data Analyst needs strong analytical abilities, data visualization expertise, and a solid understanding of statistics, often supported by a degree in a quantitative field. Proficiency in tools such as SQL, Power BI, Tableau, and familiarity with data warehousing systems or cloud platforms is typical, along with relevant certifications. Excellent communication, problem-solving, and self-motivation are vital soft skills, especially for remote collaboration and presenting insights to stakeholders. These skills ensure accurate data interpretation, effective remote teamwork, and enable data-driven decision-making that drives business success.

How does a remote business intelligence data analyst typically collaborate with cross-functional teams despite working offsite?

Remote Business Intelligence Data Analysts frequently use digital communication and collaboration tools—such as Slack, Microsoft Teams, and project management platforms—to connect with stakeholders from departments like marketing, finance, and operations. Regular virtual meetings, shared dashboards, and real-time data visualization tools help ensure alignment on analytics goals and project progress. Building strong relationships remotely requires proactive communication, clear documentation, and flexibility to accommodate different time zones or schedules. These practices enable seamless teamwork and ensure that data-driven insights are effectively integrated into business decisions.

What is the difference between Remote Business Intelligence Data Analyst vs Remote Data Analyst?

AspectRemote Business Intelligence Data AnalystRemote Data Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; BI certifications (e.g., Tableau, Power BI)Bachelor's in Data, Statistics, or related field; often similar certifications
Work EnvironmentCollaborates with business teams, uses BI tools for reporting and dashboardsAnalyzes data sets, supports decision-making, may use various analytical tools
Employer & Industry UsageCommon in finance, marketing, retail, and tech companiesWidespread across industries including healthcare, finance, and tech

The Remote Business Intelligence Data Analyst focuses on creating dashboards and reports to support strategic decisions, often using BI tools like Tableau or Power BI. In contrast, a Remote Data Analyst may perform broader data analysis tasks across various tools and datasets. Both roles require similar skills and certifications but differ in their primary focus and application within organizations.

What are the most commonly searched types of Business Intelligence Data Analyst jobs in Baltimore, MD?

The most popular types of Business Intelligence Data Analyst jobs in Baltimore, MD are:

What are popular job titles related to Remote Business Intelligence Data Analyst jobs in Baltimore, MD?

For Remote Business Intelligence Data Analyst jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Remote Business Intelligence Data Analyst jobs in Baltimore, MD look for?

The top searched job categories for Remote Business Intelligence Data Analyst jobs in Baltimore, MD are:

Remote Business Intelligence Data Analyst jobs near you
Infographic showing various Remote Business Intelligence Data Analyst job openings in Baltimore, MD as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $99,229 per year, or $47.7 per hour.

Business Intelligence Developer

Baltimore, MD • On-site, Remote

Index Analytics
IT Services • 11 - 50 employees
Learn more about Index Analyticsexternal

$96K - $118K/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
We are seeking a Junior BI Developer with foundational SQL, reporting, and data analysis skills, strong attention to detail, and a desire to build expertise in business intelligence development. This role is ideal for an early-career professional interested in developing hands-on experience with SAP BusinessObjects, enterprise reporting solutions, and business intelligence technologies in a federal client environment.
Working under the guidance of senior developers, analysts, data teams, and business stakeholders, the Junior BI Developer will support the development, maintenance, testing, and troubleshooting of enterprise reporting solutions using SAP BusinessObjects, SQL, and related analytics tools. Responsibilities include assisting with report and universe development, creating and validating SQL queries, testing and validating report outputs, documenting report logic and technical specifications, and supporting ongoing reporting operations and production issue resolution.
This position provides exposure to the full reporting solution lifecycle, including requirements analysis, design support, development, testing, deployment, maintenance, and continuous improvement of analytical products and reporting applications within enterprise business intelligence environments.
Key Responsibilities
  • Design, develop, and maintain machine learning and deep learning models, including both traditional (e.g., regression, tree-based models) and neural network-based approaches.
  • Build and deploy end-to-end ML pipelines on AWS (e.g., SageMaker, S3, Glue) for scalable training, evaluation, and inference.
  • Develop and implement advanced NLP solutions, including text classification, entity recognition, topic modeling, and semantic search using models such as BERT and transformer-based architectures.
  • Design, build, and productionize RAG (Retrieval-Augmented Generation) systems, including document ingestion, embedding pipelines, vector search, and LLM orchestration.
  • Design and implement a scalable knowledge graph and semantic data model that captures relationships among policies, analytic use cases, data domains, information assets, products, and institutional knowledge, enabling advanced search, discovery, impact analysis, and AI-assisted knowledge retrieval.
  • Develop LLM-powered applications, including prompt engineering, evaluation frameworks, and optimization techniques for accuracy, consistency, and cost.
  • Contribute to agentic AI system design, including multi-step reasoning workflows, tool use, and orchestration of LLM-driven agents for complex tasks.
  • Implement predictive analytics and statistical modeling to uncover patterns, trends, and insights from healthcare data.
  • Perform data mining and exploratory data analysis (EDA) using state-of-the-art techniques across structured and unstructured datasets.
  • Build data visualizations, dashboards, and analytical tools to communicate findings clearly to technical and non-technical stakeholders.
  • Evaluate model performance using appropriate metrics (e.g., accuracy, AUC, precision/recall) and present results in a clear, actionable manner.
  • Collaborate in an Agile environment with cross-functional teams including engineers, analysts, and stakeholders.
  • Recommend data-driven solutions and AI strategies aligned with CMS business needs and healthcare policy objectives.

  • 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. Must be able to obtain a U.S. Federal government client badge and pass a Public Trust clearance.
  • Master's degree in Computer Science, Data Science, or a related field required; PhD preferred. A minimum of six (6) years of experience or an equivalent combination of education and experience, with three (3) or more years of experience as a Data Scientist or in a similar role.
  • Strong experience in machine learning and statistical modeling, including supervised and unsupervised learning techniques, deep learning, and a solid foundation in probability, hypothesis testing, and regression.
  • Proven expertise in NLP and text analytics, including transformer-based architecture (e.g., BERT and related models), embeddings, vector databases, and semantic search systems.
  • Hands-on experience building LLM-powered applications, including prompt engineering, RAG architecture, and ideally agentic workflows or LLM orchestration frameworks, preferably within AWS environments (e.g., Bedrock).
  • Experience with developing and using knowledge graphs strongly preferred.
  • Advanced programming skills in Python (preferred) and/or R, with practical experience using ML and data libraries such as pandas, NumPy, scikit-learn, PyTorch, and TensorFlow.
  • Strong experience with AWS cloud and MLOps tooling, including SageMaker, S3, Glue, Airflow, and data stores such as Redshift and DynamoDB, along with version control (GitHub) and CI/CD pipelines (e.g., Jenkins).
  • Experience with backend systems and data integration, including data modeling and supporting APIs for web-based and production applications.
  • Experience working with large healthcare datasets, especially Medicaid, a plus
  • Strong written and verbal communication skills, with the ability to explain complex models and insights clearly.
  • Experience supporting CMS or other federal healthcare agencies is a plus.

Disclaimer
Index Analytics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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