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

Longeviti, LLC

Data Analyst Level II

Frederick, MD · On-site

... using SQL to query, manipulate, and analyze relational databases. • Experience with data ... Python or R for data analysis and automation. • Familiarity with Extract, Transform, Load (ETL) ...

PotomacWave Consulting

Data Analyst

Frederick, MD · On-site

$80K - $105K/yr

... Access SQL queries, and creating performance metrics that drive operational efficiency and ... Conduct exploratory data analysis to identify trends and patterns. * Develop and apply statistical ...

PotomacWave

Data Analyst

Frederick, MD · On-site

... Access SQL queries, and creating performance metrics that drive operational efficiency and ... Conduct exploratory data analysis to identify trends and patterns. * Develop and apply statistical ...

Longeviti

Data Analyst Level II

Frederick, MD

$109K/yr

Experience using SQL to query, manipulate, and analyze relational databases. * Experience with data ... Knowledge of programming or scripting languages such as Python or R for data analysis and ...

Longeviti LLC

Data Analyst Level II

Frederick, MD

$109K/yr

Experience using SQL to query, manipulate, and analyze relational databases. * Experience with data ... Knowledge of programming or scripting languages such as Python or R for data analysis and ...

Longeviti LLC

Data Analyst Level II

Frederick, MD · On-site

$109K/yr

Experience using SQL to query, manipulate, and analyze relational databases. * Experience with data ... Knowledge of programming or scripting languages such as Python or R for data analysis and ...

Workila

Data Analyst 1

Urbana, MD · On-site

Strong knowledge of SQL needed to support data analysis and testing. * Ability to collect, translate, and document complete and effective requirements following all applicable standards. * Ability to ...

MSCCN

Data Analyst - Frederick, MD

Frederick, MD · On-site

$80K - $105K/yr

... Access SQL queries, and creating performance metrics that drive operational efficiency and ... Conduct exploratory data analysis to identify trends and patterns. * Develop and apply statistical ...

Danaher

Digital Analyst Internships

Frederick, MD · On-site

$97K - $115K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Hagerstown, MD · On-site

$92K - $108K/yr

About Digital Analyst Roles at Danaher Are you passionate about data, customer experience, and ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Capital I, LLC

Operations Data Analyst

Frederick, MD · On-site

... with SQL, data querying, data transformation, and data quality management, including validation, reconciliation, cleaning, and root-cause analysis. · Proficiency with Microsoft Office tools ...

Capital I, LLC

Operations Data Analyst

Frederick, MD · On-site

$115K - $150K/yr

... with SQL, data querying, data transformation, and data quality management, including validation, reconciliation, cleaning, and root-cause analysis. • Proficiency with Microsoft Office tools ...

Capital I, LLC

Senior Operations Data Analyst

Frederick, MD · On-site

$145K - $180K/yr

... SQL, data querying, and data transformation · Knowledge of data governance, access controls, and ... analytic tools in approved environments o Experience with forecasting, anomaly detection, demand ...

Capital I, LLC

Senior Operations Data Analyst

Frederick, MD · On-site

$145K - $180K/yr

... Experience with SQL, data querying, and data transformation • Knowledge of data governance ... analytic tools in approved environments o Experience with forecasting, anomaly detection, demand ...

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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
Data Analyst Level II

Data Analyst Level II

Longeviti, LLC

Frederick, MD • On-site

Full-time

Posted 13 days ago

Job description

Job Summary:
Longeviti, LLC is a government contractor specializing in providing professional support services in the fields of information technology, program management, agency administration, and intelligence analysis. They are seeking a Data Analyst Level II to provide advanced data analysis and reporting support, collaborating with stakeholders to enhance data collection and reporting processes.
Responsibilities:
• Gather and analyze customer requirements to identify data analysis needs and reporting objectives.
• Evaluate technical and business requirements to determine data-related challenges and recommend effective solutions.
• Lead or support the design, development, and maintenance of reports, dashboards, scorecards, and data visualizations.
• Identify and evaluate new data sources to improve data collection, integration, reporting, and business intelligence capabilities.
• Analyze large and complex datasets to identify trends, patterns, anomalies, and actionable insights.
• Develop data queries, reports, and performance metrics to support operational and strategic decision-making.
• Validate data integrity by identifying inconsistencies, performing quality assurance checks, and recommending corrective actions.
• Troubleshoot information systems and reporting issues to ensure the accuracy, reliability, and availability of data.
• Collaborate with business units, system administrators, and technical teams to improve data management processes and reporting efficiency.
• Prepare recurring and ad hoc reports for management, customers, and project teams.
• Assist in developing standard operating procedures (SOPs), user guides, technical documentation, and training materials related to data systems and reporting processes.
• Support system enhancements, data migration efforts, testing activities, and implementation of new reporting tools.
• Ensure compliance with organizational data governance policies, privacy requirements, and security standards.
• Perform other related duties as assigned.
Qualifications:
Required:
• Minimum of 3–5 years of experience in data analysis, business intelligence, reporting, or information systems.
• Experience developing reports, dashboards, and analytical products using business intelligence and reporting tools.
• Proficiency with Microsoft Excel, including advanced formulas, PivotTables, charts, and data analysis functions.
• Experience using SQL to query, manipulate, and analyze relational databases.
• Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
• Strong analytical, critical thinking, and problem-solving skills.
• Excellent written, verbal, and presentation communication skills.
• Experience supporting federal government, Department of Defense (DoD), healthcare, or other regulated organizations.
• Experience with enterprise reporting systems, data warehouses, and cloud-based analytics platforms.
• Knowledge of programming or scripting languages such as Python or R for data analysis and automation.
• Familiarity with Extract, Transform, Load (ETL) processes and data integration techniques.
• Experience with Agile project methodologies and requirements gathering.
• Professional certifications such as Microsoft Certified: Power BI Data Analyst Associate, Tableau Certified Data Analyst, or similar credentials.
• Active Secret Security Clearance
• Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field (or equivalent combination of education and experience).
Company:
Longeviti, LLC is a vibrant, disadvantaged minority-owned small business headquartered in the Washington, D.C. Founded in 2016, the company is headquartered in Sterling, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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