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Remote Data Analyst Python Jobs in Pikesville, MD

Data Scientist

Fort George G Meade, MD · Remote

$128K - $214K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software ... Proficiency with Python and R. * Experience using large data sets to solve problems. * Knowledge of ...

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Develop and maintain efficient, testable, and reusable data processing scripts using Python, SQL, and cloud-native tools. * Collaborate with DevOps, analysts, and application developers to align ...

QA Analyst

Baltimore, MD · Remote

$55 - $58/hr

Remote (EST Hours) Start Date Is: ASAP Duration: 4-Month Contract (Potential Extension ... write and debug Python automation scripts from scratch, perform front-end and back-end/data ...

Senior Data Scientist

Fort George G Meade, MD · On-site +1

$150K - $220K/yr

Translate complex data analysis into clear, actionable recommendations. * Collaborate with subject ... Proficiency with Python and R. * Experience using large data sets to solve problems. * Knowledge of ...

Senior Data Scientist

Fort George G Meade, MD · On-site +1

$150K - $220K/yr

Translate complex data analysis into clear, actionable recommendations. * Collaborate with subject ... Proficiency with Python and R. * Experience using large data sets to solve problems. * Knowledge of ...

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 ...

Support audit readiness and data integrity activities, including primary source verification for ... Ability to conduct advanced analytics using SQL, Python, R, or similar. * Fluent in the use of ...

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 ...

Data Operations Specialist

Baltimore, MD · On-site +1

$40 - $65/hr

Experience building automated data pipelines using Python and cloud automation tools. * Familiarity with CRM, marketing, and analytics platform APIs. * Experience connecting data sources to various ...

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science ...

Overview The Software Developer provides lifecycle software development support for the Nuclear Biological and Chemical Sensor processing Group (NBCSPG), Joint Biological Point Detection System ...

Showing results 21-40

Remote Data Analyst Python information

See Pikesville, MD salary details

$32.9K

$80K

$131.6K

How much do remote data analyst python jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote data analyst python in Pikesville, MD is $79,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $93,900.00 per year, depending on experience, location, and employer.

What is a remote data analyst python?

A Remote Data Analyst Python is a data professional who works primarily from a remote location, using Python programming to collect, analyze, and interpret data. Their responsibilities include cleaning and processing data, creating data visualizations, and building models to support business decisions. They often collaborate with teams virtually and use Python libraries such as pandas, NumPy, and matplotlib to handle complex data tasks. This role is ideal for those who have strong analytical skills, proficiency in Python, and the ability to work independently in a remote environment.

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

To thrive as a Remote Data Analyst (Python), you need strong analytical skills, proficiency in Python programming, a solid grasp of statistics, and typically a degree in a quantitative field. Expertise with data analysis libraries (such as pandas and numpy), familiarity with data visualization tools (like matplotlib or Tableau), and experience with SQL databases are highly valued. Excellent problem-solving, communication skills, and self-motivation are crucial for collaborating remotely and delivering actionable insights. These skills enable you to efficiently interpret complex data, work independently, and provide valuable business recommendations from a remote setting.

How do remote data analyst python roles typically coordinate with other team members, given the virtual work environment?

Remote Data Analyst Python roles usually involve frequent collaboration with cross-functional teams such as product managers, data engineers, and business analysts through virtual platforms. Communication is commonly facilitated via video meetings, chat tools, and shared project management software to ensure alignment on data requirements and project goals. While working remotely requires strong self-motivation, most organizations support analysts with regular check-ins and clear documentation practices. This collaborative structure helps maintain productivity and ensures that data insights are effectively integrated into decision-making processes.

What is the difference between Remote Data Analyst Python vs Remote Data Analyst R?

AspectRemote Data Analyst PythonRemote Data Analyst R
Required SkillsPython, SQL, data visualization, statistical analysisR, SQL, data visualization, statistical analysis
Work EnvironmentRemote, tech companies, finance, healthcareRemote, research institutions, analytics firms
CertificationsData analysis, Python programming certificationsData analysis, R programming certifications
Common UsageData cleaning, automation, machine learningStatistical modeling, data visualization, reporting

Both roles involve data analysis in remote settings, with Python-focused roles emphasizing automation and machine learning, while R roles focus more on statistical modeling and visualization. The choice depends on the specific tools and tasks preferred by the employer or industry.

Is it possible to work remotely as a remote data analyst Python?

Yes, remote data analyst roles that require Python are widely available, especially as many companies adopt flexible work arrangements. These positions often involve skills in data analysis, programming, and tools like pandas and Jupyter Notebook, making remote work feasible with a reliable internet connection. Certifications and experience can enhance opportunities in remote data analysis jobs.

What remote jobs can you get with Python?

Remote data analyst roles that require Python involve analyzing large datasets, creating reports, and developing data models using tools like pandas and Jupyter Notebook. These positions often require strong programming skills, familiarity with SQL, and the ability to work independently in a virtual environment.

What job categories do people searching Remote Data Analyst Python jobs in Pikesville, MD look for?

The top searched job categories for Remote Data Analyst Python jobs in Pikesville, MD are:

Data Analytics Manager (GYN/OB)

Johns Hopkins University

Baltimore, MD • Remote

Full-time

Posted 13 days ago


Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

190th of 628 rated colleges and universities


Job description

We are seeking a Data Analytics Manager who will create and execute approaches for using quantitative data and methods to understand and review complex issues and business needs of the assigned area. This position has a strong knowledge in analytics, is proficient in a general programming language (like Python) or a statistical package (R) and has an appetite for engaging in non-quantitative aspects of the innovation process. Specific Duties & Responsibilities Lead the development and implementation of strategies for using quantitative data and methods to understand complex business issues.

Shape and conduct approaches for collecting, organizing, and analyzing data, including methods for creating new data (e.g. through surveys) when there is limited or no data. Employ diverse quantitative methodologies and software packages, including data validation, joining of diverse datasets, historical/trend analysis, comparative/cross-sectional analysis, GIS mapping, regression analysis, etc

Invent and quickly iterate novel solutions to challenging data-related problems. Create and manage project plans for the quantitative data components of all teamwork. Develop and manage partnerships and collaborations with data providers and stakeholders.

Champion the use of quantitative data to drive decisions. Produce compelling and intuitive data visualizations to drive comprehension of complex topics and concepts across a broad range of stakeholders. Communicate data analysis so that information and findings are accessible to a non-technical audience, including through dashboard tools like Tableau or Microsoft Power BI.

Develop metrics and measurement systems to measure the impact of the team's projects and initiatives. Connect data insights to research and collaborate with team members to conduct research sessions including focus groups, interviews, and user testing. Support analogous research and literature reviews.

Serve as a key participant in each step of the area's data methodology, providing a quantitative perspective to all projects. Serve as a lead for the data analytics team. Perform other related duties as requested.

This position is to support research on reproductive health, maternal and infant outcomes, and health policy. This position is ideal for candidates with strong quantitative and epidemiologic skills who are interested in applying data science to pressing public health issues. The role will involve managing, cleaning, and analyzing large administrative and claims datasets, supporting and leading statistical analyses, drafting manuscripts for publication, and providing broader research support as needed.

The Data Analytics Manager will need to, clean, manage, and analyze large, complex datasets using statistical software (e.g., Stata, R). Contribute to study design, data interpretation, and statistical modeling. Draft and edit manuscripts for submission to peer-reviewed journals

Collaborate with research teams across institutions and disciplines. Provide mentorship to graduate students and research assistants, as needed. Minimal travel may be expected for conferences or collaborative meetings.

Minimum Qualifications Bachelor's Degree. Seven years of related experience. Additional education may substitute for required experience and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent permitted by the JHU equivalency formula.

PhD in epidemiology, demography, or related field. Five or more year's experience supporting or leading research on related topics. Content area expertise in reproductive and perinatal epidemiology.

Extensive experience working with claims data and vital statistics data. Strong publication record. Technical Skills and Expected Level of Proficiency Data Architecture -Advanced Database Querying - Advanced Data Strategy and Innovation - Advanced Data Visualization - Advanced Project Management - Advanced Program Evaluation - Advanced Stakeholder Engagement - Advanced Statistics - Advanced The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.

Classified Title: Data Analytics Manager Role/Level/Range: ATP/04/PE Starting Salary Range: $41.28 - $72.25 HRLY ($30,544.80 targeted; Commensurate w/exp.) Employee group: Casual / On Call Schedule: Monday - Friday 8am - 5pm FLSA Status: Exempt Location: Remote Department name: SOM OB GYN Bay Gynecology Obstetrics Bay Personnel area: School of Medicine


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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876