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Freelance Python Data Analysis Jobs in Virginia (NOW HIRING)

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Utilize Python, R, and other scripting languages for data analysis and automation * Apply data mining, graph algorithms, and statistical techniques to support mission objectives * Work with SQL and ...

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Utilize Python, R, and other scripting languages for data analysis and automation * Apply data mining, graph algorithms, and statistical techniques to support mission objectives * Work with SQL and ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience analyzing structured and unstructured data * Experience with statistical and general ... Experience with Python data science and visualization packages Clearance : Applicants selected will ...

Experience with Python for data analysis. * Proven ability to build dashboards and reports using tools like Tableau, Power BI, or similar. * Excellent communication skills to collaborate across ...

Sr. Data Analyst

Mclean, VA · On-site

$87K - $110K/yr

... 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 ...

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.

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.

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Freelance Python Data Analysis information

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

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

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
What are the most commonly searched types of Python Data Analysis jobs in Virginia? The most popular types of Python Data Analysis jobs in Virginia are:
What job categories do people searching Freelance Python Data Analysis jobs in Virginia look for? The top searched job categories for Freelance Python Data Analysis jobs in Virginia are:
What cities in Virginia are hiring for Freelance Python Data Analysis jobs? Cities in Virginia with the most Freelance Python Data Analysis job openings:
Director, Data Analysis - US Card Data

Director, Data Analysis - US Card Data

Capital One

Mclean, VA • On-site

Full-time

Re-posted 14 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

72nd of 145 rated banks


Job description

Director, Data Analysis - US Card Data
As Capital One continues to mature its Business Intelligence and Analytical capabilities, we are seeking a dynamic, high-performing Director, Data Analytics to lead its adoption of Big Data tools and other developing data technologies, both proprietary and open source. This position will have a significant impact on the business, so we are seeking someone who can take charge, think big, and deliver on their commitments.
As the Director of Data Analysis in US Card, you will lead development and execution of data products and aggregations to support business decision making, product strategies, modeling and valuations. The Director will oversee a team of data analysts ensuring the collection, standardization, aggregation, analysis, and interpretation of complex data sets to drive efficiency and growth.
The role involves collaborating with cross functional teams (business, data, product, tech) to implement destination Internal Card data strategy. They will establish best practices of data governance, ensure data accuracy and quality and provide strategic guidance to senior leadership and business for effective data management and governance. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. An ideal candidate will possess strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. Prior experience creating organization roadmaps and driving strategy execution.
On any given day you will be:
  • Leading the US Card analytical team
  • Driving data source and tool innovations based on stakeholder data needs, including adoption of Big Data technologies and development of a program to train and enhance associate skill-sets
  • Creating leading-edge data products that uncover opportunities for improvement in our US Card portfolio and processes
  • Leading governance of our data assets, including development of a governance plan and structure
  • Providing strategic leadership on large cross-functional horizontal initiatives
  • Reporting on data analysis activities to partner groups, incorporating novel reporting and data visualization techniques
  • Partnering with diverse stakeholders (from Analysts to Executives) to deliver horizontally and vertically
  • Actively championing the usage and adoption of data tools and solutions across the entire US Card Data Analyst community
  • Working in an agile fashion, managing the stakeholder set and capacity for the team

Key accountabilities:
  • Partner with various engineering and enterprise functions in adopting and informing data flow standards across ingestion, transformation, access and publishing
  • Driving data source and tool innovations based on stakeholder data needs, including adoption of cloud native technologies
  • Development of a program to train and enhance associate skill sets and actively championing the usage and adoption of data tools and solutions across the entire RDB Data Analyst community
  • Lead the ongoing migration from an on-premise implementation to a cloud based (AWS) implementation
  • Strategic orientation in their ability to define roadmaps in an incremental way to support business goals

Basic Qualifications:
  • Bachelor's Degree plus at least 9 years of experience in data analytics, or Master's Degree plus at least 7 years of experience in data analytics, or PhD plus at least 4 years of experience in data analytics
  • At least 5 years of Professional Data Analysis experience
  • At least 5 years of People Management experience
  • At least 2 years of Big Data technology experience
  • At least 2 years of Data Visualization experience

Preferred Qualifications:
  • Master's Degree
  • 10+ years of Professional Data Analysis experience
  • 5+ years of Big Data experience (AWS and Spark)
  • 5+ years of cloud native (AWS) data processing experience
  • 5+ years of Process Management experience
  • 5+ years of Project Management experience
  • 5+ years of experience with Python
  • 5+ years of Data Governance experience
  • 2+ years of experience with streaming data technologies (Kafka, Flink, Spark streaming)

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $230,400 - $263,000 for Director, Data Analysis
Richmond, VA: $209,500 - $239,100 for Director, Data Analysis
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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