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Python Data Analyst Jobs in Virginia (NOW HIRING)

Sr. Data Analyst

Mclean, VA

$86K - $109K/yr

Strong data warehouse and analytics background Create business requirement documentation (BRD ... Python is is must have they need to be able to read existing code but they won't be coding anything ...

Position Overview As a Data Analyst, you will lead complex analytical projects and advise IAD ... Technical Skills: Advanced proficiency in MS Excel (e.g., Power Query, VBA), SQL, and Python.

Data Analyst

Springfield, VA · On-site +1

$62K - $141K/yr

Experience coding to support writing scripts with tools such as Java and Python. * Experience using ... data analysis or visualization in lieu of degree Nice If You Have: * Experience in integrating ...

Data Analyst

Springfield, VA · On-site +1

$62K - $141K/yr

Experience coding to support writing scripts with tools such as Java and Python. * Experience using ... data analysis or visualization, OR 10+ years of experience in data analysis or visualization in ...

Knowledge of Python, R, Scala, or JavaScript * Strong written and verbal communication skills Preferred Qualifications: * A passion for low-level / embedded data/science analytics * Working knowledge ...

Data Analyst

Charlottesville, VA · On-site +1

$61K - $141K/yr

Experience coding to support writing scripts with tools such as Java and Python * Experience using ... data analysis or visualization in lieu of a degree Nice If You Have: * Experience integrating ...

Data Analyst

Springfield, VA · On-site +1

$62K - $141K/yr

Experience coding to support writing scripts with tools such as Java and Python. * Experience using ... data analysis or visualization, OR 10+ years of experience in data analysis or visualization in ...

Data Analyst

Springfield, VA · On-site +1

$62K - $141K/yr

Experience coding to support writing scripts with tools such as Java and Python. * Experience using ... data analysis or visualization, OR 10+ years of experience in data analysis or visualization in ...

Data Analytics / Business Intelligence Overview: We are seeking a Senior Technical Data Analyst ... Analyze logs and execute Python scripts from the command line * Work with Agile teams to define ...

Be Seen First

Utilize programming languages including SQL, Python, R, and JavaScript to develop datasets ... Analyze and support Extraction, Transformation, and Load (ETL) processes and data integration ...

Knowledge of Python, R, Scala, or JavaScript * Strong written and verbal communication skills Preferred Qualifications: * A passion for low-level / embedded data/science analytics * Working knowledge ...

Scientific Data Analyst

Arlington, VA · On-site +1

$110K - $115K/yr

Build and maintain data pipelines and analytical tools using Python, R, or equivalent languages * Develop and update user support materials, websites, and training resources * Ensure all published ...

Senior Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

Role Summary We are seeking a Senior Data Analytics Contractor to deliver end-to-end analytics ... in Python, and deliver executive-ready insights through Tableau and Power BI. You will also ...

Data Analyst

Reston, VA · On-site

$62K - $141K/yr

... as Python, R, or SQL, for data manipulation and analysis * 2+ years of experience with data engineering in Databricks or Spark * Experience using Micro sof t Office 365 Suite applications, such as ...

... Python, R) for data wrangling and analysis. Company : AMERICAN SYSTEMS is one of the largest employee-owned companies in the US. Founded in 1975, the company is headquartered in Chantilly, USA, with ...

Sr. Python Developer

Mclean, VA · On-site

$51.50 - $71/hr

... developing analytics software applications, Demonstrated knowledge of: * Python, Python web technologies, e.g. Flask, Dash * Python data processing technologies, e.g. Pandas, Numpy * Solid ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

Principal Data Analyst At Capital One, data is at the center of everything we do. When we launched ... Scripting experience in (Python, R, Spark, and SQL) * Strong desire and experience with data in ...

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Python Data Analyst information

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
What are the most commonly searched types of Python Data Analyst jobs in Virginia? The most popular types of Python Data Analyst jobs in Virginia are:
What job categories do people searching Python Data Analyst jobs in Virginia look for? The top searched job categories for Python Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Python Data Analyst jobs? Cities in Virginia with the most Python Data Analyst job openings:
Sr. Data Analyst

$86K - $109K/yr

Full-time

Posted 26 days ago


Job description


Strong data warehouse and analytics background
Create business requirement documentation (BRD), user stories and acceptance criteria for Agile deployments.
Experience in:
Requirement gathering
Translating business requirements to technical requirements,
Process/data flow design
Technical spec design
Business analysis
Supporting development, systems integration testing and user acceptance testing (UAT)
Manual and automation testing
Data analysis, verification/validation between source and target
Strong 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 is is must have they need to be able to read existing code but they won't be coding anything from scratch.
Business scenario and data flow testing experience is a must have,
Minimum 5+ years of hands on experience in data analysis experience is required.
Emphasis on strong communication and team work skills.
SAS is preferred, but not required.