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Senior Python Data Analysis Jobs in Arizona (NOW HIRING)

Connexzia

Data Analyst

Scottsdale, AZ · On-site

Proficiency in SQL, Python, R, or other data analysis tools. * Experience with data visualization platforms like Tableau, Power BI, or Google Data Studio. * Strong understanding of statistical ...

RIT Solutions

Data Analyst

Scottsdale, AZ · Hybrid

Coding knowledge in SQL, Python, or the equivalent (SAS, R) * Data visualization using Tableau ... Prior experience managing senior stakeholders * Prior experience working with cross-functional ...

United IT

Senior data engineer

Phoenix, AZ · On-site

$105.20K - $143K/yr

Senior Data Engineer - GCP, Scala, Spark & Python Location: Phoenix, AZ (Hybrid) Mandatory Skills ... Position Overview We are seeking a Specialist with 5 to 7 years of experience in GCP data analytics ...

Caris Life Sciences

Senior Data Scientist

Tempe, AZ · On-site

... experienced Senior Data Scientist will support our precision medicine and biomarker discovery ... Python (and/or R) for data analysis, statistical modeling, and machine learning in a scientific ...

Quantix

Data Analyst

Phoenix, AZ

The Senior Data Analyst provides support of all organizational data management functions. Supports the design, creation, maintenance, tuning and support of the organization's relational and ...

Quantix

Data Analyst

Phoenix, AZ

The Senior Data Analyst provides support of all organizational data management functions. Supports the design, creation, maintenance, tuning and support of the organization's relational and ...

SynergisticIT

Data Visualization Expert ( Entry level )

Yuma, AZ · On-site

$113.80K - $136.60K/yr

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

LPL Financial

Sr. Analyst, Data Science

Tempe, AZ · On-site

$85.90K - $143.17K/yr

Senior Analyst, Data Science Where ambition meets innovation Build a career that matches all your ... Proficiency in Python for data manipulation, statistical analysis, and machine learning, that goes ...

The State of Arizona

DATA ANALYST INTERMEDIATE

Phoenix, AZ · On-site +1

$65.97K - $120.53K/yr

SENIOR RESEARCH ANALYST Job Location: 1400 West Washington Street Phoenix, AZ 85007 Posting Details ... data analysis and management software such as Python, R, or SAS Write articles and make ...

Caris Life Sciences

Senior Data Scientist

Tempe, AZ · On-site

Position Summary The experienced Senior Data Scientist will support our precision medicine and ... Proficiency in Python (and/or R) for data analysis, statistical modeling, and machine learning in a ...

Caris Life Sciences

Senior Data Scientist

Tempe, AZ

Position Summary The experienced Senior Data Scientist will support our precision medicine and ... Proficiency in Python (and/or R) for data analysis, statistical modeling, and machine learning in a ...

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Senior Python Data Analysis information

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

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are the most commonly searched types of Python Data Analysis jobs in Arizona? The most popular types of Python Data Analysis jobs in Arizona are:
What are popular job titles related to Senior Python Data Analysis jobs in Arizona? For Senior Python Data Analysis jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in Arizona look for? The top searched job categories for Senior Python Data Analysis jobs in Arizona are:
Senior Python Data Analysis jobs near you
Senior Data Scientist (only USC and GC on W2)

Senior Data Scientist (only USC and GC on W2)

Ampstek

Phoenix, AZ • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Senior Data Scientist

Location: Phoenix, Arizona - Onsite

Employment Type: Contract

Position Overview

• We are seeking a highly experienced Senior Data Scientist to support and enhance our AIOps (Artificial Intelligence for IT Operations) solution. This position plays a critical role in advancing our anomaly detection, root cause analysis, and intelligent automation capabilities across enterprise systems.

• The ideal candidate will bring deep expertise in machine learning, statistical modeling, and large-scale data analysis, with strong hands-on proficiency in Python and SQL. This individual will drive innovation in operational intelligence by leveraging anomaly detection, causal reasoning, time series modeling, and emerging GenAI techniques.

Key Responsibilities

• Design and implement scalable machine learning models for AIOps use cases including anomaly detection and root cause analysis.

• Develop and optimize advanced anomaly detection algorithms for infrastructure, application, and operational telemetry data.

• Apply causal reasoning frameworks to identify drivers of incidents and operational disruptions.

• Build and deploy time series forecasting and modeling solutions to predict performance degradation and system failures.

• Develop robust data pipelines and analytical workflows using Python and SQL.

• Integrate Generative AI (GenAI) techniques for intelligent summarization, incident triage, knowledge extraction, and automation.

• Collaborate with engineering, DevOps, and platform teams to operationalize ML models in production environments.

• Drive continuous improvement of model performance, scalability, and reliability.

• Mentor junior data scientists and contribute to best practices in MLOps and model governance.

Required Qualifications

• 6+ years of experience in data science or applied machine learning roles.

• Strong communication and stakeholder management skills.

• Strong proficiency in Python (NumPy, Pandas, Scikit-learn, PyTorch/TensorFlow or similar).

• Advanced SQL skills for data manipulation and analysis.

• Proven experience in anomaly detection techniques (statistical, ML-based, deep learning-based).

• Strong understanding and practical application of causal inference and causal reasoning methodologies.

• Hands-on experience with large-scale structured and time series datasets.

• Solid knowledge of time series modeling (ARIMA, Prophet, LSTM, state-space models, etc.).

• Experience deploying models into production environments.

• Strong analytical thinking and problem-solving capabilities.

Preferred Qualifications

• Experience in AIOps, IT Operations analytics, or observability platforms.

• Exposure to GenAI / LLM-based solutions for operational intelligence.

Email: preeti.verma@ampstek.com

Apply