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Data Jobs in Berlin, MD (NOW HIRING)

This Data Analyst is responsible for collecting, cleaning, analyzing, and transforming complex clinical, financial, and operational datasets into actionable insights. The position supports reporting ...

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field ...

We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field ...

Data Administrative Assistant

Salisbury, MD ยท On-site

$18.08 - $27.11/hr

Data Administrative Assistant Position Summary The Data Administrative Assistant is responsible for data abstraction from EPIC - EMR - including specific cardiology reports, and understanding ...

Data Administrative Assistant

Salisbury, MD ยท On-site

$18.08 - $27.11/hr

Data Administrative Assistant Position Summary The Data Administrative Assistant is responsible for data abstraction from EPIC - EMR - including specific cardiology reports, and understanding ...

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Data information

See Berlin, MD salary details

$44.2K

$158.5K

$233.8K

How much do data jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data in Berlin, MD is $158,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,200.00 and $163,300.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.

What job categories do people searching Data jobs in Berlin, MD look for?

The top searched job categories for Data jobs in Berlin, MD are:

What cities near Berlin, MD are hiring for Data jobs?

Cities near Berlin, MD with the most Data job openings:

Infographic showing various Data job openings in Berlin, MD as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $158,474 per year, or $76.2 per hour.

Data Analyst

La Red Health Center Inc

Georgetown, DE โ€ข On-site

Full-time

Posted 29 days ago


Job description

Description:

Job Summary:

This Data Analyst is responsible for collecting, cleaning, analyzing, and transforming complex clinical, financial, and operational datasets into actionable insights. The position supports reporting, analytics, evaluation and performance improvement efforts across the organization. 

Essential Responsibilities:

The following duties are not intended to serve as a comprehensive list of all duties performed by all associates in this position. The duties listed are intended to provide a representative summary of the major duties and responsibilities. The incumbent may be required to perform additional, position-specific duties as assigned by their manager and/or LRHC Leadership.

Regulatory Reporting & Compliance

  • UDS Reporting: Manage the aggregation, validation, and submission of annual HRSA Uniform Data System (UDS) tables.
  • PCMH Maintenance: Track, analyze, and report on electronic clinical quality measures (eCQMs) required for Patient-Centered Medical Home (PCMH) recognition.
  • State & Federal Grants: Author data queries and generate structured reporting assets for federal, state, and private grant compliance (e.g., HRSA, Delaware DHSS).

Data Analysis & Business Intelligence

  • Dashboard Development: Design, deploy, and maintain interactive performance dashboards using Power BI or Tableau for clinical and administrative leadership.
  • EHR Optimization: Extract complex datasets from the Electronic Health Record (EHR) system (e.g., Epic/OCHIN, eClinicalWorks) utilizing SQL queries.
  • Ad-Hoc Analysis: Provide timely, data-driven answers to operational and clinical inquiries from executive leadership.

Quality Improvement (QI) Support

  • Clinical Metrics: Identify gaps in preventive care, chronic disease management, and social determinants of health (SDOH).
  • Population Health: Stratify high-risk patient panels to support care coordination and population health management.
  • Workflow Validation: Partner with clinical staff to evaluate data capture workflows and eliminate data entry errors at the point of care


Requirements:

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or competency required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. 

Education/Experience/Certification:

  • Required: Bachelor’s degree in health informatics, Data Science, Statistics, Public Health or a related field.
  • Minimum of 2–3 of Data Analysis experience in a healthcare environment

Language Skills:

Bilingual (English/Spanish) preferred


Skills and Competencies:

Technical Skills

  • Knowledge of HRSA Uniform Data System reporting
  • SQL: Advanced proficiency in writing SQL queries for relational databases.
  • BI Tools: Strong development experience using Power BI, Tableau, or equivalent visualization platforms.
  • EHR Systems: Experience extracting and interpreting data directly from health IT platforms (e.g., Epic/OCHIN, eClinicalWorks, NextGen).
  • Spreadsheets: Mastery of Microsoft Excel, including complex formulas, VLOOKUPs, and pivot tables.

Knowledge & Compliance

  • Regulations: Strong foundational understanding of HIPAA regulations and data security practices regarding Protected Health Information (PHI).
  • Healthcare Coding: Familiarity with standard clinical coding systems, including ICD-10, CPT, HCPCS, and LOINC.

Equipment Operated:

Wide range of office equipment.

Enterprise server infrastructure, firewalls, network switches, and access control hardware.

High proficiency and daily use of enterprise software suites (e.g., Microsoft 365, Active Directory, Epic EHR, and helpdesk ticketing workflows).


Mental/Physical Requirements:

Frequent sitting or standing for long periods while using a computer