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Data Analyst Python Sql Jobs in Laurel, MD (NOW HIRING)

Proficiency in SQL for data querying and manipulation. * Experience with Python for data analysis. * Proven ability to build dashboards and reports using tools like Tableau, Power BI, or similar.

... in SQL, data bricks, python, GIT and familiar with Alexandria Feature Library at Capital One is a HUGE plus. Problem solving - Strong ability to identify problems, analyze causes, and develop ...

Data Analyst

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data stores into clean, reconciled analytical datasets; * building the recurring reports and ... Practical command of SQL and spreadsheets, with scripting (Python or R) where it makes the work ...

Data Analyst

Washington, DC · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data stores into clean, reconciled analytical datasets; * building the recurring reports and ... Practical command of SQL and spreadsheets, with scripting (Python or R) where it makes the work ...

Data Analyst

Washington, DC · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... data stores into clean, reconciled analytical datasets; * building the recurring reports and ... Practical command of SQL and spreadsheets, with scripting (Python or R) where it makes the work ...

Gen AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Proficiency in Python and SQL for data manipulation and analysis. Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda. Experience working with LLMs ...

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

Proficient in SQL and Python for data exploration and data analysis to identify issues, trends, and patterns with the data. * Understanding of databases and familiarity with database design.

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Data Analyst Python Sql information

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

As of Aug 19, 2026, the average yearly pay for data analyst python sql in Laurel, MD is $81,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Laurel, MD?

For Data Analyst Python Sql jobs in Laurel, MD, the most frequently searched job titles are:

What cities near Laurel, MD are hiring for Data Analyst Python Sql jobs?

Cities near Laurel, MD with the most Data Analyst Python Sql job openings:

Data Analyst

1 point system

Mclean, VA • On-site

Contractor

Re-posted 27 days ago


Job description

Required Skills

  • Strong experience as a Data Analyst or in a similar analytical role.
  • Proficiency in SQL for data querying and manipulation.
  • Experience with Python for data analysis.
  • Proven ability to build dashboards and reports using tools like Tableau, Power BI, or similar.
  • Excellent communication skills to collaborate across diverse teams.
  • Must be able to work onsite in either the McLean or Richmond, VA office in a hybrid capacity.