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

The Tactical Edge LLC

Data Analyst

Baltimore, MD

Strong proficiency in data analysis tools such as Excel, SQL, and Python. * Excellent problem-solving skills and attention to detail. * Ability to work independently and as part of a team. Nice to ...

Tekcel8

Data Analyst

Laurel, MD · On-site

Familiarity with relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL . * Basic experience with Python or R for data analysis and automation. * Understanding of data modeling ...

QED Systems LLC

Data Analyst

Aberdeen Proving Ground, MD · On-site

$80K - $125K/yr

Proficiency in Python, SQL, Excel, and potentially statistical programming languages, preferred ... Ability to use data analysis to identify and solve business problems. Required Clearance: * ACTIVE ...

AaraTechnologies Inc

DATA ANALYST

Maryland City, MD · On-site

Write SQL queries for data analysis * Perform data validation and quality checks * Support KPI and trend reporting * Assist with ad-hoc analysis * Document metrics and reports Required Qualifications ...

T Rowe Price

Data Analyst

Owings Mills, MD · Hybrid

Demonstrate creativity, curiosity, and passion for data analysis, with proficiency in Excel, Power BI, Tableau, or SQL; Python experience is a plus. * Possess strong quantitative analytical skills ...

Infojini Inc

Data Analyst

Linthicum Heights, MD · On-site

... SQL, ETL and Data Warehousing. Experience in developing of data visualizations. Basic experience in programming (R, Python, Java, Javascript, etc.) Experience working with, preparing, and integrating ...

Tiye Consulting

PL SQL Developer/Data Analyst

MD · On-site

$50.25 - $63.25/hr

... SQL based applications * Analyzing new business rules and interfaces in order to design and implement new Oracle objects * Preparing and maintaining documentation on new and existing data models

Interclypse Inc.

Data Analyst

Annapolis, MD · On-site

Perform data analysis to identify trends, patterns, and correlations. C. Create data models ... The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love ...

Interclypse, Inc.

Data Analyst

Annapolis Junction, MD · On-site

Perform data analysis to identify trends, patterns, and correlations. C. Create data models ... The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love ...

Interclypse Inc.

Data Analyst

Annapolis Junction, MD · On-site

Perform data analysis to identify trends, patterns, and correlations. C. Create data models ... The candidate should be proficient in SQL, Python, R, or related programming Why You Will Love ...

Cymertek

Data Analyst

Annapolis Junction, MD · On-site

SQL querying * Data cleaning and preprocessing * Statistical analysis * Report generation * Spreadsheet expertise DESIRED SKILLS * Knowledge of Python or R * Familiarity with machine learning

Leidos

Senior Data Analyst

Odenton, MD · On-site

$87K - $157K/yr

... SQL Server. * 1+ year of Python experience. * Experience working in Agile development environment with tools such as Jira and GitLab. * Excellent communication skills to translate business ...

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Baltimore, MD

Data Analyst Python Sql information

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$33.8K

$82.1K

$135.1K

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

As of Jul 9, 2026, the average yearly pay for data analyst python sql in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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 are Data Analyst Python SQL jobs?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 Baltimore, MD? For Data Analyst Python Sql jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Baltimore, MD look for? The top searched job categories for Data Analyst Python Sql jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data Analyst Python Sql jobs? Cities near Baltimore, MD with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Baltimore, MD as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $82,114 per year, or $39.5 per hour.
Data Analyst

Data Analyst

The Tactical Edge LLC

Baltimore, MD

Full-time

Posted 6 days ago

Job description

Overview

We are seeking a motivated and detail-oriented individual to join our team in a data analysis capacity. The successful candidate will be responsible for transforming data into actionable insights that drive business decisions.

Key Responsibilities

  • Collect, clean, and analyse data from various sources to identify trends and patterns.
  • Create and maintain dashboards and reports to communicate findings to stakeholders.
  • Collaborate with cross-functional teams to understand their data needs and provide analytical support.
  • Develop predictive models to enhance business strategies and outcomes.
  • Present complex data in a clear and concise manner to non-technical audiences.

Requirements

  • Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
  • Proven experience as a data analyst or in a similar role.
  • Strong proficiency in data analysis tools such as Excel, SQL, and Python.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work independently and as part of a team.

Nice to have

  • Experience with data visualisation tools such as Tableau or Power BI.
  • Familiarity with machine learning techniques.
  • Knowledge of industry-specific data analysis practices.

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