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

Oscar Health

Associate, Operations Data Analytics

Dallas, TX · Remote

$91.66K - $120.30K/yr

We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team. Oscar ... Experience using Python or R * 2+ years experience in healthcare or insurance industry * Exposure ...

Deloitte

Data Analytics Manager- Data Lake

Dallas, TX · On-site

Expertise in Python machine and deep learning frameworks and libraries, e.g. PyTorch, Keras ... As a Manager, you will lead teams delivering cyber analytics, AI, and security operations solutions ...

Deloitte

Workforce Data & Analytics Manager

Dallas, TX · On-site

... and Python * 5+ years of experience with data warehouses and data lakes, including Amazon Web ... Experience applying analytics and data visualization tools, including Tableau or Power BI, across ...

S3b Global Inc

Data & Analytics (CPG Domain)

Dallas, TX · On-site

Guide teams in automating ETL workflows using SQL, Python, and R, and building pipelines Implement ... ML basics, statistical analysis, data profiling Domain & Leadership Strong experience in Consumer ...

Oscar Health

Associate, Operations Data Analytics

Dallas, TX · Remote

$91.66K - $120.30K/yr

We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team. Oscar ... Experience using Python or R * 2+ years experience in healthcare or insurance industry * Exposure ...

Oscar Health

Associate, Operations Data Analytics

Dallas, TX · On-site

$91.66K - $120.30K/yr

We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team. Oscar ... Experience using Python or R * 2+ years experience in healthcare or insurance industry * Exposure ...

Oscar Health

Associate, Operations Data Analytics

Dallas, TX · Remote

$91.66K - $120.30K/yr

We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team. Oscar ... Experience using Python or R * 2+ years experience in healthcare or insurance industry * Exposure ...

JConnect Infotech

Data Analytics Cloud Architect

Plano, TX

$61.25 - $78.75/hr

Data Analytics Cloud Architect Location: Seattle, WA / St. Louis, MO / Plano, TX / Dallas, TX / ... Python, Spark, R, SQL or other equivalent programming languages etc * 3+ Years of experience ...

TXU Energy

Lead Data Analyst

Irving, TX

Developing and implementing data strategy and analytics initiatives that align with business ... Conducting advanced analysis using statistical tools and software, such as R or Python.

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Data Analytics Python information

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.

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 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 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
Infographic showing various Data Analytics Python job openings in Princeton, TX as of May 2026, with employment types broken down into 4% As Needed, and 96% Full Time. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution.
Associate, Operations Data Analytics

Associate, Operations Data Analytics

Oscar Health

Dallas, TX • Remote

$91.66K - $120.30K/yr

Other

PTO

Posted 25 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

227th of 260 rated insurance

Job description

Hi, we're Oscar. We're hiring a Data Analytics Associate to join our Service Operations Data Analytics team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family.

About the role:

You will partner closely across the organization to identify and manage inefficiencies proactively in the business. You will support business units in scoping, analyzing and monitoring performance of key financial and utilization metrics in service of company goals. You will independently drives the scoping & execution of analytical requests, including working with stakeholders to define key questions, scope methodologies and results. You may at times be called upon to speak to prepared analysis both internally and externally.

You will report into the Manager, Data Analytics.

Work Location: This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote

Pay Transparency: The base pay for this role is: $91,659 - $120,303 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, and annual performance bonuses.

Responsibilities:

  • Responsible for owning insights generation and follow-up for a major business unit, serving as the first point of contract for Sr. Managers and Associate Directors
  • Analyze data to support business teams in making better informed, data-driven decisions
  • Use data to tell a story that non-technical colleagues will be able to understand, including packaging and presenting findings in a clear, concise and compelling manner
  • Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our user's needs evolve
  • Identify opportunities to create models and tools that produce relevant insights to identify healthcare inefficiencies and generate insights to remove inefficiencies
  • Collaborate across the organization, including owning stakeholder relationships with managers & senior managers , to identify actions to achieve improvements and monitor initiative impact
  • Support other strategic projects as assigned to meet business needs
  • Compliance with all applicable laws and regulations
  • Other duties as assigned

Requirements:

  • 3+ years of technical work experience using analytical tools and writing analytical reports
  • 2+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
  • Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by 5+ examples / projects of presenting analysis to Leadership (Director+)
  • 2+ years experience in SQL, with the ability to filter, aggregate, and build CTEs
  • 2+ years in building robust data models
  • 1+ years experience, including proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets
  • 1+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools

Bonus points:

  • Experience using Python or R
  • 2+ years experience in healthcare or insurance industry
  • Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience
  • Prior experience in Member Relations or Customer Success environments.
  • Building data models in dbt
  • Building reports in Looker Studio Pro
  • Git workflows

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