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

Cotality

Data Analytics

Dallas, TX · On-site

$113K - $136K/yr

Data Analysis & Insights ... Perform deep-dive statistical analysis using SQL, Python, or R to identify trends and provide ...

Sonoma Consulting Inc.

Data Analytics Lead

Plano, TX · On-site

Provide analytical support to the organization by leveraging data mining tools and analytical ... or Python) Strong quantitative skills Experience in applying advanced statistical or machine ...

Oscar Health

Manager, Data Analytics

Dallas, TX · Hybrid

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health ... Proficiency in R or Python, including experience with Pandas, for loops, and statistical tests

McKesson

Manager, Data Analytics

Irving, TX · On-site

The other half is building: writing Python, creating dashboards, designing automations, and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

MCKESSON

Manager, Data Analytics

Irving, TX

The other half is building: writing Python, creating dashboards, designing automations, and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

Posted today

McKesson

Manager, Data Analytics

Irving, TX · On-site

The other half is building: writing Python, creating dashboards, designing automations, and ... Science, Data Analytics, or a related field Critical Skills * 7+ years in analytics, business ...

Oscar Health

Manager, Data Analytics

Dallas, TX · Hybrid

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health ... Proficiency in R or Python, including experience with Pandas, for loops, and statistical tests This ...

Oscar Health

Manager, Data Analytics

Dallas, TX · On-site

$111K - $145K/yr

We're hiring a Data Analytics Manager to join our Operations Team. Oscar is the first health ... Proficiency in R or Python, including experience with Pandas, for loops, and statistical tests This ...

Citigroup, Inc.

Data Analytics Senior Analyst

Irving, TX · On-site

$141K - $142K/yr

... advanced Python libraries; and Building and deploying APIs to provide Query as a Service ... Data Analytics Job Family Group: Job Family: Time Type: Full time Primary Location: Irving Texas ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position ... Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub ...

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All JobsData Analytics Python JobsData Analytics Python Jobs in Princeton, TX

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:
Data Analytics Python jobs near you

Data Analytics

Cotality

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 8 days ago

Job description

At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.
Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.
Job Description:
This role is a technical hybrid of Data Engineering and Business Intelligence. You will be responsible for the full data lifecycle: building the pipelines (ETL) to move data, ensuring its accuracy through rigorous validation, and performing advanced statistical analysis to drive workforce capacity and forecasting. It is a "hands-on" technical role that requires translating complex datasets into strategic roadmaps for cross-functional partners.
Core Responsibilities
  • Data Analysis & Insights: Perform deep-dive statistical analysis using SQL, Python, or R to identify trends and provide actionable business recommendations.
  • Pipeline Management (ETL): Design and manage automated ETL processes to ensure seamless data flow from multiple sources into Google BigQuery.
  • Advanced Querying: Write and optimize complex SQL queries for large-scale data transformation and reporting.
  • Forecasting & Modeling: Build and maintain forecasting and capacity models to support workforce planning and operational efficiency.
  • Data Governance: Implement automated validation checks and error handling to ensure high data integrity.
  • Cross-Functional Collaboration: Partner with stakeholders to define data requirements and deliver automated BI solutions (e.g., Tableau).
  • Documentation: Maintain technical documentation for data architectures, project milestones, and analytical results.

Job Qualifications:
  • Education: Bachelor's degree in a quantitative field (Computer Science, Stats, Math, Data Science).
  • Technical Proficiency: * Expert-level SQL (complex queries and performance tuning).
    • Strong programming skills in Python or R for data manipulation.
    • Experience with Google BigQuery or similar cloud data warehouses.
  • BI & Automation: Proficiency in Tableau (or equivalent) and scripting languages (Python, PowerShell) for task automation.
  • Domain Expertise: Knowledge of workforce capacity planning and statistical forecasting models is strongly preferred.
  • Project Management: Proven ability to manage project lifecycles and meet deadlines in a dynamic environment.

Annual Pay Range:
67,000 - 75,000 USD
Application Window:
This opportunity is expected to remain posted through the date identified below, subject to business needs.
2026-05-08
Thrive with Cotality
At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.
Highlights, depending on role classification, include:
  • Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
  • Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
  • Health: Multiple medical plan options with mental health and wellness support offerings.
  • Retirement: 401(k) with company match and vesting after one year.
  • Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250.
  • Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!

Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace.
Cotality is fully committed to a work environment that embraces everyone's unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.
Privacy Policy
Global Applicant Privacy Policy
By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide.
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