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Remote Data Analysis Jobs in Aberdeen, MD (NOW HIRING)

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

Expert proficiency in SQL and advanced data analysis techniques used to perform root cause analysis, validate business rules, investigate anomalies, quantify impacts, and resolve complex data defects.

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

Utilizing 5- 8 years of clinical operations reporting experience, the incumbent serves as a subject matter expert in Microsoft BI, Tableau, and SQL to facilitate complex data analysis, letter ...

The main purpose of a data analyst is to find meaning in data as a thought leader so that the derived knowledge can be used to make informed decisions and assist the organization in making better ...

Data Scientist

Edgewood, MD · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0238506 Location: Edgewood,MD,US Share job via: Share Data Scientist ... On our team, you'll use your analytical skills and data science knowledge to create real-world ...

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Delivers standard system and data analysis and helps with tools and technology implementations for Payment Integrity- clinical editing. Facilitate and coordinate building, document, and review of ...

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Collaborate with DevOps, analysts, and application developers to align pipelines with system architecture, storage strategy, and reporting needs. * Implement data quality and validation checks and ...

Data Modeler

Baltimore, MD · On-site +1

$54.50 - $70.50/hr

Hello Folks, Please find the below requirement and let me know your interest? 100% Remote W2 Role ... analytics systems. * Experience implementing and maintaining data modeling standards, best ...

Senior Manager, Master Data Delivery Towson, MD/ Remote based in the USA Come build your career. It ... Analyze and upgrade existing processes, norms, and approaches to Data Delivery, up to and including ...

New

Baltimore, MD (Hybrid -- mostly remote; onsite for key meetings/trainings as needed) Type: 12-month ... Advanced Excel and strong data analysis skills * Ability to explain complex reports to non ...

Baltimore, MD (Hybrid -- mostly remote; onsite for key meetings/trainings as needed) Type: 12-month ... Advanced Excel and strong data analysis skills * Ability to explain complex reports to non ...

Baltimore, MD (Hybrid -- mostly remote; onsite for key meetings/trainings as needed) Type: 12-month ... Advanced Excel and strong data analysis skills * Ability to explain complex reports to non ...

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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 job categories do people searching Remote Data Analysis jobs in Aberdeen, MD look for?

The top searched job categories for Remote Data Analysis jobs in Aberdeen, MD are:

What cities near Aberdeen, MD are hiring for Remote Data Analysis jobs?

Cities near Aberdeen, MD with the most Remote Data Analysis job openings:

Infographic showing various Remote Data Analysis job openings in Aberdeen, MD as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Analyst (Remote)

CareFirst

Baltimore, MD • Remote

$85K - $107K/yr

Full-time

Retirement

Posted 15 days ago


CareFirst BlueCross BlueShield rating

7.3

Company rating: 7.3 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

242nd of 315 rated insurance


Job description

Resp & Qualifications

PURPOSE: 
The Senior Data Analyst is responsible for ensuring the accuracy, completeness, and regulatory compliance of data supporting Risk Adjustment programs, CMS submissions, and associated healthcare analytics. This role leads the design and execution of automated testing frameworks, data certification processes, reconciliations, and balance-and-control activities used to validate enrollment, claims, diagnosis, provider, and clinical data across the end-to-end Risk Adjustment ecosystem. The Senior Data Analyst serves as a subject matter expert for Risk Adjustment data quality, partnering with business, operations, compliance, and engineering teams to perform root cause analysis, resolve complex data defects, strengthen operational controls, and ensure trusted data supports risk score accuracy, financial integrity, audit readiness, and regulatory reporting
ESSENTIAL FUNCTIONS:

  • Engages in data exploration using various programming languages (reading and writing code), requiring advanced knowledge of multiple database structures.
  • Collect, analyze, and interpret data to glean insights, and develop business appropriate recommendations.
  • Research and analyze data flow across complex data ecosystem including operational and analytical data platforms.
  • Serve as an expert resource supporting data questions and issues from stakeholders and driving to resolution.
  • Lead in the design, development, validation and delivery of data to provide insight into business decisions.
  • Manage the collection of business and technical requirements from Stakeholders to deliver data driven solutions. Produces technical documentation that is consistent with professional standards.
  • Be a resource and mentor to junior level staff

SUPERVISORY RESPONSIBILITY:
Position does not have direct reports but is expected to assist in guiding and mentoring less experienced staff. May lead a team of matrixed resources.
QUALIFICATIONS:
Education Level: Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
Experience: 5 years experience in an analytical/quantitative role.
Preferred Qualifications:

  • Experience in Healthcare Industry.
  • Hands on experience with Big Data/NoSQL Platforms with experience delivering production projects at scale. 

Knowledge, Skills and Abilities (KSAs)

  • Expert knowledge of healthcare payer data domains, including claims, enrollment, provider, diagnosis, procedure, pharmacy, and clinical data, and their impact on Risk Adjustment reporting, analytics, and financial performance.
  • Expert knowledge of Risk Adjustment business processes, including diagnosis capture, HCC models, coding validation, chart review programs, risk score generation, prospective and retrospective workflows, and associated data dependencies.
  • Expert ability to design, implement, and maintain automated data testing, certification, validation, reconciliation, and monitoring frameworks that ensure data accuracy and regulatory compliance.
  • Expert understanding of balance-and-control methodologies, data reconciliations, exception management, and production certification processes supporting critical healthcare reporting and submissions.
  • Expert knowledge of data quality management principles, including completeness, accuracy, validity, consistency, timeliness, traceability, and data control frameworks.
  • Advanced knowledge of regulatory reporting and submission processes supporting Risk Adjustment operations, audit readiness, and healthcare compliance requirements.
  • Expert proficiency in SQL and advanced data analysis techniques used to perform root cause analysis, validate business rules, investigate anomalies, quantify impacts, and resolve complex data defects.
  • Strong knowledge of cloud data platforms and analytical environments, including Snowflake, Microsoft Fabric, Azure Data Factory (ADF), and related healthcare data ecosystems.
  • Expert understanding of end-to-end data lineage, source-to-target mappings, transformation logic, business rules, and operational workflows supporting Risk Adjustment data processing.
  • Expert ability to lead defect triage, issue management, remediation validation, and post-production monitoring activities across multiple business and technology teams.
  • Advanced knowledge of metadata management, data governance, auditability, lineage, and control frameworks supporting trusted and compliant data assets.
  • Advanced knowledge of Agile delivery methodologies, testing practices, release validation, and production readiness processes.
  • Expert analytical and problem-solving skills with the ability to evaluate complex healthcare data scenarios, identify risks, determine root causes, and recommend sustainable corrective actions.
  • Advanced written and verbal communication skills with the ability to communicate testing results, defect impacts, data quality risks, and remediation recommendations to technical, operational, and business stakeholders.
  • Advanced ability to mentor analysts, promote testing and data quality best practices, and drive continuous improvement in data validation, certification, and operational control processes.

Salary Range: 87,264 - 173,316

Salary Range Disclaimer

The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range is specific and considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case's facts and circumstances, including but not limited to experience, internal equity, and location. In addition to your compensation, CareFirst offers a comprehensive benefits package, various incentive programs/plans, and 401k contribution programs/plans (all benefits/incentives are subject to eligibility requirements).

Equal Employment Opportunity

CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer.  It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Federal Disc/Physical Demand

Note:  The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs.

PHYSICAL DEMANDS:

The associate is primarily seated while performing the duties of the position.  Occasional walking or standing is required.  The hands are regularly used to write, type, key and handle or feel small controls and objects.  The associate must frequently talk and hear.  Weights up to 25 pounds are occasionally lifted.

Sponsorship in US

Must be eligible to work in the U.S. without Sponsorship.

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