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Data Analytics Python Jobs in Princeton, TX (NOW HIRING)

In this role, you will lead complex data and financial analytics initiatives that drive strategic ... Strong technical proficiency in analytics, visualization, and AI-enabled tools such as SQL, Python ...

Python Developer

Dallas, TX · On-site

$50 - $68.75/hr

Developed Python and pyspark programs for data analysis.. Good working experience with python to develop Custom Framework for generating of rules (just like rules engine). * Developed Python code to ...

New

Python Developoer

Dallas, TX · On-site

$50 - $68.75/hr

Developed Python and pyspark programs for data analysis.. Good working experience with python to develop Custom Framework for generating of rules (just like rules engine). * Developed Python code to ...

New

In this role, you will lead complex data and financial analytics initiatives that drive strategic ... Strong technical proficiency in analytics, visualization, and AI-enabled tools such as SQL, Python ...

... and Analytics, Statistics/Mathematics, or a similar field. * Expertise in SQL for data querying, performance optimization, and database management. * Proficiency in Python or R for statistical ...

Python Developer

Dallas, TX · On-site

$50 - $68.75/hr

Python, Spark, PySpark Responsibilities: · Design, develop, and maintain software solutions using Python . · Developed Python and pyspark programs for data analysis.. Good working experience with ...

New

Key Accountabilities • Developing and implementing data strategy and analytics initiatives that ... Python. • Identifying areas for improvement in data collection and analysis processes and ...

Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and ... Python, Power BI / Tableau, Snowflake, Azure / AWS, ETL, Data Pipelines Industry Experience ...

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Data Analytics Python information

Is 40 too late for data science?

Data Analytics Python roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help you enter the field regardless of age, and continuous education or certifications can improve your prospects.

What are some typical challenges faced when working as a Data Analytics Python professional, and how can they be addressed?

Data Analytics Python professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and optimizing code for performance. Collaborating with cross-functional teams to understand business requirements and communicating insights clearly can also be demanding. To address these challenges, it's important to stay updated with best practices in data cleaning, leverage efficient libraries like pandas and NumPy, and engage in regular communication with stakeholders to align on project goals. Additionally, participating in code reviews and continuous learning can help maintain high standards and drive professional growth.

What are Data Analytics Python professionals?

Data Analytics Python professionals are specialists who use the Python programming language to analyze, interpret, and visualize data. They apply statistical techniques, build predictive models, and generate insights to help organizations make data-driven decisions. Their work often involves cleaning and preparing data, using libraries like Pandas, NumPy, and Matplotlib, and communicating findings to stakeholders. These professionals are in high demand across industries due to the growing importance of data in business strategy.

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

To thrive as a Data Analytics Python professional, you need a strong background in statistics, data interpretation, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Matplotlib, Jupyter Notebooks, and possibly certifications in data analytics or Python are highly valuable. Critical thinking, problem-solving ability, and effective communication help translate complex data findings into actionable business insights. These skills are essential for extracting meaningful information from data and driving data-informed decisions in organizations.

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 models, and handling large datasets, making it a valuable skill for the role.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, while AI may change some aspects of the job, it is unlikely to fully replace data analysts in the near future.

What is the salary for Python data analytics?

The salary for a Python data analyst typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, machine learning, and certifications may earn higher salaries. Entry-level positions generally start lower, while senior roles can exceed this range.

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

AspectData Analytics PythonData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone specific, often data analysis or business certifications
Work EnvironmentData science teams, tech companies, analytics departmentsBusiness units, finance, marketing, consulting firms
Tools & TechnologiesPython, Jupyter, Pandas, NumPy, visualization librariesExcel, SQL, Tableau, Power BI

Data Analytics Python focuses on using Python programming for data analysis, requiring coding skills and advanced statistical knowledge. In contrast, Data Analysts often work with tools like Excel and SQL for data interpretation and reporting. Both roles are essential in data-driven industries but differ in technical depth and toolsets.

What are popular job titles related to Data Analytics Python jobs in Princeton, TX? For Data Analytics Python jobs in Princeton, TX, the most frequently searched job titles are:
What job categories do people searching Data Analytics Python jobs in Princeton, TX look for? The top searched job categories for Data Analytics Python jobs in Princeton, TX are:
Director, Data Analytics - Global Payment Network- PULSE

Director, Data Analytics - Global Payment Network- PULSE

Capital One

Plano, TX • On-site

Full-time

Posted 5 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

76th of 149 rated banks


Job description

Director, Data Analytics - Global Payment Network- PULSE
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
The successful candidate will possess a deep subject matter expertise in data management practices and risk management frameworks. The role also requires excellent problem solving, communication, and judgment skills. The ability to navigate within a complex, fast moving environment is also a must.
Responsibilities:
  • Develop and execute on data management strategy
  • Define and monitor KRI's and escalate areas of non-compliance as appropriate
  • Oversee the design and execution of data controls
  • Oversee data quality monitoring and data issue management practices
  • Monitor the health of data catalog metadata
  • Manage team of high performing data professionals

Basic Qualifications:
  • Currently has, or is in the process of obtaining a Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 8 years of experience performing data analytics, or currently has, or is in the process of obtaining a Master's Degree plus at least 6 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
  • At least 6 years of experience performing professional data analysis work
  • At least 6 years of experience leading and developing with open source data technologies
  • At least 4 years of experience managing people

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.
Houston, TX: $209,500 - $239,100 for Director, Data Analysis
Plano, TX: $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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