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Data Analyst Python Sql Jobs in College Park, MD

... 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 ...

New

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.

Conduct investigative and exploratory analysis across data sources and systems (using python, SQL) to surface patterns, anomalies, and data quality issues with the potential to impact business ...

Conduct investigative and exploratory analysis across data sources and systems (using python, SQL) to surface patterns, anomalies, and data quality issues with the potential to impact business ...

Proficient in SQL and Python scripting basics * Experience with Agile methodologies and Jira for story creation * Strong analytical and problem-solving abilities * Ability to work with disparate data ...

... Tableau, SQL, Python, Java, Qlik, or similar data science and engineering languages. * Design ... Ability to present analytical findings in a clear, concise, and executive-level format to senior ...

They are seeking a Big Data Analyst to closely support mission partners, working with software ... Python, SQL, Spark, PySpark or similar. • Must be able to work on-site in Herndon, VA, with the ...

Sr. Data Analyst

Mclean, VA · On-site

$87K - $110K/yr

... SQL skills are needed Knowledge of SAS or Python/PySpark is highly desired Big data (Hive/HDFS etc)/ Cloud (AWS) experience is a plus Excellent communication and analytical skills Must Haves: Python ...

Data Analyst Job #: req37912 Organization: World Bank Sector: Finance & Accounting Grade: GE Term ... Working proficiency in SQL and at least one programming language such as Python or R, with ...

New

Write and execute data queries using SQL, Python, or other data analysis programming languages. Qualifications/Background Profile : * Bachelor's degree in Business Information Technology, Management ...

Use coding languages (SQL, Python) to conduct technical platform configuration and data integration ... Conduct research and develop quantitative analytic reports using Air technology and data * Orally ...

Use coding languages (SQL, Python) to conduct technical platform configuration and data integration ... Conduct research and develop quantitative analytic reports using Air technology and data * Orally ...

Use coding languages (SQL, Python) to conduct technical platform configuration and data integration ... Conduct research and develop quantitative analytic reports using Air technology and data * Orally ...

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Data Analyst

Washington, DC · On-site

$65K - $85K/yr

... Python, R, and preferably Smartsheet, * 1+ years of experience with SQL, GIS, Data Visualizations, Survey Methodology or Implementation * 1+ years of experience with application of AI Tools: GitHub ...

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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 14, 2026, the average yearly pay for data analyst python sql in College Park, MD is $81,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,800.00 and $95,900.00 per year, depending on experience, location, and employer.

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 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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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.

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 College Park, MD?

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

What job categories do people searching Data Analyst Python Sql jobs in College Park, MD look for?

The top searched job categories for Data Analyst Python Sql jobs in College Park, MD are:

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

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

Data Analyst

OpenDataJobs

Washington, DC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

Peregrine Advisors is a firm founded on a simple conviction: the best solutions come from the people closest to the problem, given real ownership and the tools to deliver. We are a data and technology innovation hub and a Benefit Corporation working at the center of the federal government's mission to deliver for client stakeholders and the US public, looking for highly motivated contributors who thrive when trusted to own a hard problem and equipped to deliver the solution.

Your first assignment

Your first assignment will likely include turning a federal program's operational data into numbers people can trust by:

  • defining measures with the people who own the process, and writing down the business rules behind every number;
  • writing the SQL that turns platform data on Amazon Aurora and related Amazon Web Services (AWS) data stores into clean, reconciled analytical datasets;
  • building the recurring reports and dashboards a program actually uses, with documented measures, refresh schedules, and access controls;
  • tracing discrepancies to their source: definitions, timing, filters, and source systems, until the number is explained; or
  • replacing manual reporting with repeatable, tested workflows.

Adaptability and a demonstrated capacity to learn new concepts, systems, and tools are what keep you ahead of program needs as projects complete and priorities shift.

The work is real, hard, and it matters. It is also where you start, not the shape of your career here: we hire people, not seats, and we move our best to where the hardest problems are.

What you'll build
  • The numbers a federal program runs on, with the provenance to prove where each one came from.
  • Clean analytical datasets that reconcile source fields, business definitions, and calculation logic, so every analysis after yours starts on solid ground.
  • Dashboards, reports, and data visualizations people return to because they answer the question, load fast, and never mislead on a scale or a label.
  • The quality evidence behind the reporting: validation checks, reconciliation reports, and issue logs that hold up in an audit.
  • AI-assisted analysis as standard practice: coding assistants and language models across the lifecycle, with your judgment on top.
  • In time, the firm itself: new capabilities, tools, and lines of business you help spin up.
Who you are

You are precise with numbers and suspicious of unexplained ones: an anomaly is a thread to pull, not a footnote to add. You move easily between a stakeholder's question and the data that can answer it, and you would rather deliver one number the program can trust than ten it cannot. You communicate clearly, adapt across roles and clients, and care about creating public value. You experiment, fail, learn, and repeat quickly. You would rather own an outcome than be handed a task.

What you bring
  • Practical command of SQL and spreadsheets, with scripting (Python or R) where it makes the work faster or safer.
  • The discipline of defined measures: documented rules, reconciled sources, and reports that refresh without surprises.
  • The judgment to choose the chart that serves the reader, and the restraint to leave out the one that does not.
  • The precision to work where accuracy and auditability are not optional.
What you'll need

U.S. citizenship (this initial engagement may be staffed by U.S. citizens only) and the ability to obtain a Public Trust determination. This is a hybrid role based in the Washington, DC metropolitan area, and it requires commuting into DC regularly. Everything else, the years, the certifications, the specific tools, we ask in the application and get into during the interview.

What we offer

A high-performing team of developers, engineers, data scientists, architects, and strategists solving complex, real-world problems, with work that runs from strategy formulation to hands-on implementation. We develop people across roles and clients, with extensive onboarding and sponsored training and professional development. And Peregrine has been a Benefit Corporation from day one: public value is built into the work itself, not bolted on afterward. Work worth your best years.

What we commit to

As a Benefit Corporation, our commitment runs three ways: real, measurable value for our clients; government that works better for the public; and a team that makes everyone in it better.

We hire people who want to help build the firm, not just work at it. If that is you, apply.

Peregrine Advisors is an equal opportunity employer.

Peregrine exclusively works with OPEN Data Jobs to recruit our team. Register with OPEN Data Jobs to be considered for this opening and future roles.

Requirements

  • 3+ years of data analysis experience
  • Bachelor's degree
  • Strong working command of SQL
  • Experience building reports and dashboards in a business intelligence tool (Power BI, Tableau, or comparable)
  • Familiarity with scripting for analysis (Python or R)
  • Ability to own an analysis from question through delivered, documented answer
  • Basic proficiency in writing, PowerPoint, and Excel
Preferred
  • Master's degree in a relevant field
  • Experience with cloud data platforms on Amazon Web Services (AWS)
  • Federal program, financial, or performance data experience
  • Familiarity with AI-assisted developer and analysis tooling

Benefits

Medical, dental, and vision with the employee premium fully paid and half of dependent premiums; employer-paid life, accidental death, and short-term and long-term disability insurance; a 401(k) matched 100% up to 4% of salary, vesting immediately; unlimited paid time off; and sponsored professional certifications and continuing education.