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Data Analytics Python Jobs in Arizona (NOW HIRING)

Oscar Health

Manager, Data Analytics

Tempe, AZ · 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

Oscar Health

Manager, Data Analytics

Tempe, AZ · 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

Tempe, AZ · 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 ...

Raytheon

Factory Data Analytics Engineer

Tucson, AZ

$108K - $130K/yr

Create and maintain data visualization and statistical analysis tools that increase understanding ... Python based data inquiry (Pandas, NumPy, Scikit-learn, Matplotlib, etc) * Exposure to statistical ...

New

Recruit Marks

Data Analyst

Scottsdale, AZ

$80K - $125K/yr

Experience with Predictive Analytics , including knowledge of predictive modeling, machine learning, and forecasting methods . * Proficiency in Python and SQL for data analysis and automation.

Elevance Health

Pharmacist - Data Analytics

Chandler, AZ

$57.25 - $69/hr

Experience working with tools like SQL, Python and R is very strongly preferred. * You must have data analytics experience for this position. * PharmD preferred. * Experience working with Medicare ...

New

Vangard, Inc.

Data Analyst, Specialist

Scottsdale, AZ · On-site

You will leverage SQL, Python, AWS, and modern analytics technologies to build scalable data products, automate reporting processes, and deliver actionable insights that support regulatory oversight ...

Lorven Technologies

Business Data Analyst

Phoenix, AZ · On-site

Basic understanding of Python or scripting (optional) Education & Experience * Bachelor's degree in Computer Science, Data Analytics, Finance, or related field * 4+ years of experience in Business ...

Elevance Health

Pharmacist - Data Analytics

Chandler, AZ · On-site

$56.50 - $68/hr

Experience working with tools like SQL, Python and R is very strongly preferred. * You must have data analytics experience for this position. * PharmD preferred. * Experience working with Medicare ...

New

Elevance Health

Pharmacist - Data Analytics

Chandler, AZ · On-site

$59.50 - $71.50/hr

Experience working with tools like SQL, Python and R is very strongly preferred. * You must have data analytics experience for this position. * PharmD preferred. * Experience working with Medicare ...

New

U-Haul

Contact Center Data Analyst

Phoenix, AZ

... Analytics, Computer Science, Statistics, Mathematics, Engineering, or related fields, with 3 years of relevant experience * Proven experience in SQL and Python * Proven experience in Power BI and ...

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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 Arizona? For Data Analytics Python jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Data Analytics Python jobs in Arizona look for? The top searched job categories for Data Analytics Python jobs in Arizona are:
Data Analytics Python jobs near you
Manager, Data Analytics

Manager, Data Analytics

Oscar Health

Tempe, AZ • Hybrid

$111K - $145K/yr

Other

PTO

Posted 15 days ago

Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

239th of 281 rated insurance

Job description

Hi, we're Oscar. We're hiring a Data Analytics Manager to join our Operations 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:

The Data Analytics Manager works across and outside the organization to solve complex data issues. You will work collaboratively to assess data related issues, understand the cause of those issues, and partner with the engineering, data, and customer success teams to implement solutions. You will understand the use, flow, and generation of data within a complex ecosystem of business processes and will need to explain your findings to audiences with varying degrees of technical knowledge. You will drive the scoping & execution of analytical requests, including working with team members to define important questions, scope methodologies, and achieve results.

Work Location: This position is based in our Tempe, AZ office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $111,034.80 - $145,733.18 per year. You are also eligible for employee benefits, unlimited PTO and annual performance bonuses.

Responsibilities:

  • Communicate with external customers and our teams to evaluate data issues, serving as the first point of contract for production issues
  • Ask questions to determine the cause and business impacts of issues that are raised surrounding our data
  • Partner with engineering and data teams to find solutions to data issues within a complex system architecture that prioritize accuracy, customer satisfaction, and scalability
  • Partner with business teams to explain complex technical and data issues to non-technical colleagues, including packaging and presenting findings
  • Recognize the need to enhance essential operational and analytical dashboards, and define the requirements to enhance them as our users' needs evolve
  • Identify opportunities to create models and tools that improve processes and overall improve efficiency
  • Collaborate across the organization with internal and external leaders, to identify actions to achieve improvements and monitor initiative impact
  • Support other projects as assigned to meet our needs
  • Lead a team of data analysts
  • Compliance with all applicable laws and regulations (DO NOT REMOVE - REQUIRED)
  • Other duties as assigned (DO NOT REMOVE - REQUIRED)

Requirements:

  • 4+ years of technical work experience using analytical tools and writing analytical reports
  • 4+ years in a client-facing role with experience managing issues externally
  • 2+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
  • 5+ examples/projects of experience communicating updates and resolutions to customers and other partners, around business reporting impact and requirements
  • 2+ years experience in SQL, with the ability to filter, aggregate, and build CTEs, or proficiency in R or Python, including experience with Pandas, for loops, and statistical tests
  • 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 in healthcare, finance or the insurance industry

Bonus points:

  • 2+ years experience in preparing healthcare analytics, reporting, and data management
  • Experience with ticketing system (such as Jira)
  • Proficiency in R or Python, including experience with Pandas, for loops, and statistical tests

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