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

FocusKPI

Marketing Operations Analyst

Frederick, MD · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

FocusKPI

Marketing Operations Analyst

Hagerstown, MD · On-site

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Govcio LLC

Senior Data Scientist

Kearneysville, WV · On-site

$133K - $169K/yr

Strong experience utilizing advanced database languages (such as SQL) and modern big data ... g., AWS Certified Data Analytics, Azure Data Scientist Associate, or Python/Data Science ...

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

As of Jul 14, 2026, the average yearly pay for data analyst python sql in Hagerstown, MD is $81,930.00, 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.

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 job categories do people searching Data Analyst Python Sql jobs in Hagerstown, MD look for? The top searched job categories for Data Analyst Python Sql jobs in Hagerstown, MD are:
What cities near Hagerstown, MD are hiring for Data Analyst Python Sql jobs? Cities near Hagerstown, MD with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Defense Medical Data Architect

Defense Medical Data Architect

Ripple Effect

Fort Detrick, MD • On-site

$141K - $160K/yr

Full-time

Posted 19 days ago

Job description

General Information 

  • Job Code: CIT-DB-05M 
  • Location:Client/Fort Detrick, MD
  • Employee Type: Exempt, Full-Time Regular 
  • Telework: None/Client Site 
  • Citizenship: Required by Contract
  • Clearance: Public Trust 
  • Manager: Yes
  • Salary Range: $141,802 - $160,000

Position Overview 

Are you passionate about designing data systems that strengthen mission readiness, operational visibility, and decision-making across complex federal health logistics environments?

Ripple Effect is seeking an experienced Defense Medical Data Architect to support the Defense Health Agency (DHA) Medical Logistics (MEDLOG) Directorate. This senior technical role serves as a key architect and technical lead for designing, modernizing, and sustaining enterprise data architectures, analytics platforms, and AI-enabled solutions supporting military medical logistics. The architect will lead data modernization efforts, oversee advanced analytics and application development, ensure compliance with DoD and DHA standards, and serve as a trusted liaison between government stakeholders and delivery teams, combining architectural leadership with hands-on delivery and transition support.

Responsibilities

  • Data Architecture & Modernization: Design and implement scalable, enterprise data architectures supporting military medical logistics programs including the designing of data models and repositories to replace legacy Excel workflows and integrate disparate data sources including DML-ES, JMAR/LogiCole, BCS, and MIP
  • Technical Execution & Solution Delivery: Lead development and sustainment of analytics platforms, operational tools, dashboards, and process automation solutions. Resolve production issues, optimize data pipelines, improve dashboard performance/refresh cycles, and standardize workflows to ensure stability, scalability and usability of analytical assets.
  • Application Development & Process Automation: Design and sustain mission-critical applications and automation capabilities while delivering business friendly reporting tools, system-generated documents and visual mapping solutions.
  • Analytics & Decision Support: Lead the development of descriptive, predictive, and strategic analytics solutions to support logistics planning, inventory management, and financial forecasting.
  • AI Capability Design & Integration: Design secure, compliant and scalable architectures for AIenabled MEDLOG missions while ensuring alignment with DoD and DHA AI governance requirements.
  • Communication & Stakeholder Engagement: Serve as the technical liaison between government stakeholders and delivery teams by leading technical discussions, validating requirements, presenting solutions, and ensuring alignment on scope, risks, and solution feasibility throughout the project lifecycle.
  • Training & Knowledge Transfer: Develop and execute training programs to improve MEDLOG data literacy by creating training materials, supporting handson learning and mentorship, and maintaining documentation to ensure longterm sustainability.
  • Quality, Compliance & Transition: Ensure deliverables meet quality, security, and contractual requirements by overseeing documentation, access controls, and data governance, and by planning and executing transition and handoff to government personnel.

Requirements

Minimum Education & Experience

  • Bachelor's degree in Data Science, Computer Science, Logistics, Information Systems, or a related field; Master's degree preferred 
  • Minimum of eight (8) years of experience in data architecture, data engineering, analytics, or software development
  • At least three (3) years of experience leading technical projects or teams with demonstrated experience delivering analytics products and dashboards for federal agencies.
  • Minimum of four (4) years supporting military medical logistics or federal health data environments 

Basic Requirements

  • Demonstrated expertise in DMLES, JMAR/LogiCole, and DMLSS systems, including data schemas, logistics workflows, and Class VIII procurement, usage, and inventory data.
  • Experience designing enterprise data architectures, data models, and integrated repositories across multiple systems.
  • Proficiency in Tableau Prep, Tableau Desktop, and Microsoft Power BI, with experience developing and sustaining dashboards and analytics products.
  • Proficiency in Python, SQL, database design, and data integration supporting analytics, automation, and operational tools.
  • Experience delivering and sustaining analytics platforms, dashboards, and operational reporting solutions in complex environments.
  • Strong project management, documentation, and stakeholder communication skills.
  • Intermediate experience with office productivity software such as Office 365 including Word, PowerPoint, Excel and Outlook. 

Skills That Set You Apart

  • Active Secret clearance.
  • Experience modernizing legacy Excelbased workflows into scalable enterprise data solutions supporting logistics, supply chain, readiness, or financial reporting.
  • Experience designing AIenabled analytics and decisionsupport systems in compliance with DoD standards, including handson use of generative AI platforms and enterprise AI tools.
  • Knowledge of data security, access controls, and governance within federal or DoD environments.
  • Ability to mentor technical staff and government personnel on analytics best practices and data literacy.

Benefits

Ripple Effect rewards our employees for their contributions to our mission in many ways, from competitive pay and exceptional benefits to a range of work/life programs based on your employment classification and personalized preferences. 

Ripple Effect is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, political affiliation, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation during the hiring process, please let us know by contacting our HR department at HR@rippleeffect.com or your recruiter. Eligibility for employment will be verified using E-verify. 

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