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Data Analyst Startup Jobs in Arizona (NOW HIRING)

Mondo

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

Data Scientist III (Generative AI) Location: Phoenix, AZ Start Date: ASAP Duration: Permanent ... Startup mindset * Proficiency with Excel and PowerBI * Experience with commercial analytics ...

Forhyre

Senior Product Analyst

Phoenix, AZ · On-site +1

Collaborating with leaders across Product, Design, Analytics Engineering, Data Engineering, and the ... Enthusiasm for working in a fast-paced startup environment and the willingness to engage in ...

Berkley

Actuarial Analyst

Scottsdale, AZ · Hybrid

$110K - $150K/yr

... a nimble startup, we blend the best of both worlds to foster innovation and excellence in ... Analyze internal and external data to adapt and develop intermediate rating methodologies for ...

Berkley

Actuarial Analyst

Scottsdale, AZ · Hybrid

$110K - $150K/yr

... a nimble startup, we blend the best of both worlds to foster innovation and excellence in ... Analyze internal and external data to adapt and develop intermediate rating methodologies for ...

Axosoft, LLC

Applied Data Scientist

Scottsdale, AZ · On-site

We're looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data ... Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one ...

Axosoft, LLC

Applied Data Scientist

Scottsdale, AZ · On-site

We're looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data ... Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one ...

Faithtechnologies

QC Electrician

Mesa, AZ

Analyze startup/commissioning schedule. * Analyze upcoming tasks and anticipates equipment ... Assists in data collection for Short Circuit Arc Flash Studies. * Actively participates in Faith ...

Faith Technologies

QC Electrician

Mesa, AZ · On-site

Analyze startup/commissioning schedule. * Analyze upcoming tasks and anticipates equipment ... Assists in data collection for Short Circuit Arc Flash Studies. * Actively participates in Faith ...

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All JobsData Analyst Startup JobsData Analyst Startup Jobs in Arizona

Data Analyst Startup information

What is a data analyst startup?

A Data Analyst in a startup is responsible for collecting, analyzing, and interpreting data to help drive business decisions. Unlike in larger companies, startup data analysts often wear multiple hats, working with raw, unstructured data, building dashboards, and providing strategic insights. They collaborate closely with product, marketing, and engineering teams to optimize processes and improve business performance. The role requires strong analytical skills, proficiency in SQL, Python, or R, and the ability to adapt quickly to a fast-paced environment. Since startups have fewer resources, data analysts must be proactive, resourceful, and comfortable with ambiguity.

What are some challenges a data analyst might face when working in a startup environment?

Data Analysts in startups often encounter rapidly shifting priorities and limited resources, which require them to adapt quickly and independently manage their work. You may find yourself setting up new data processes from scratch, dealing with incomplete datasets, or balancing multiple projects at once. Collaboration is frequent, as you'll typically work closely with founders, product managers, engineers, and marketers to deliver actionable insights. This environment fosters valuable learning opportunities and skill development, but it also demands flexibility, resourcefulness, and a willingness to take on diverse tasks.

What are the key skills and qualifications needed to thrive in the data analyst startup position, and why are they important?

To thrive as a Data Analyst at a startup, you need strong quantitative skills, proficiency in data manipulation and statistical analysis, and often a degree in a related field like mathematics, statistics, or computer science. Familiarity with tools like SQL, Python, R, Excel, and data visualization platforms such as Tableau or Power BI is highly beneficial, as is experience with cloud-based data storage. Adaptability, problem-solving, and excellent communication skills set standout candidates apart in this fast-paced environment. These capabilities are crucial because startup Data Analysts often wear multiple hats, working cross-functionally to extract actionable insights that directly influence business decisions.

What are the most commonly searched types of Data Analyst Startup jobs in Arizona?

The most popular types of Data Analyst Startup jobs in Arizona are:

What are popular job titles related to Data Analyst Startup jobs in Arizona?

For Data Analyst Startup jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Data Analyst Startup jobs in Arizona look for?

The top searched job categories for Data Analyst Startup jobs in Arizona are:

What cities in Arizona are hiring for Data Analyst Startup jobs?

Cities in Arizona with the most Data Analyst Startup job openings:

Data Analyst Startup jobs near you
Infographic showing various Data Analyst Startup job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

Mondo

Phoenix, AZ • On-site

$136K - $164K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

Job Title: Data Scientist III (Generative AI) Location: Phoenix, AZ Start Date: ASAP Duration: Permanent Compensation: $136,900 - $164,300 Benefits: Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Our client is seeking a Data Scientist III specializing in Generative AI and agentic architectures, with proven experience building and scaling end-to-end RAG solutions and autonomous AI agents while embedding Responsible AI practices across model development, deployment, and governance. This role drives internal data analytics projects ranging from short data explorations to long-term implementations of advanced predictive and machine learning models. The Data Scientist III communicates technical and analytical concepts across all levels of the organization and influences the roadmap through data-based recommendations. You will join a growing team of data scientists and help shape how AI is built and deployed across the business.

Day-to-Day Responsibilities:

  • Build robust Agentic AI and RAG applications using Responsible AI practices across model development, deployment, and governance
  • Participate in the end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, production deployment, measurement, and tracking
  • Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess impact and extract trends across functional areas
  • Build statistical models to enhance understanding of trends and predict future performance
  • Design experiments and interpret results to draw detailed, actionable conclusions
  • Design, validate, and evaluate solutions using Python, SQL, and other programming tools
  • Transform data into actionable insights and recommendations, and support standard analyses, reports, and dashboards
  • Collaborate with stakeholders and other teams to gather data, build relationships, and champion ML capabilities for non-technical audiences
  • Educate and mentor team members on data science best practices, statistical programming, and data preparation

Minimum Requirements:

  • 5 years of experience as a Data Scientist working with large databases to perform complex analysis
  • Master's degree in a STEM field
  • Strong MLOps background - big focus, including carrying models through the full development cycle into live production
  • Must currently reside within commuting distance to Phoenix, AZ
  • 5 years of Python
  • 5 years of SQL
  • Git experience
  • Experience building and deploying ML/AI models in a cloud computing environment (e.g., AWS) and/or enterprise IT environment
  • Strong statistical modeling skills (multivariate regression, logistic regression, cluster analysis, design of experiments, decision trees)
  • Strong communication skills and experience working directly with stakeholders
  • Hands-on AI experience (at minimum, active personal use)
Preferred Qualifications:
  • Snowflake
  • AWS
  • Startup mindset
  • Proficiency with Excel and PowerBI
  • Experience with commercial analytics (pricing optimization, customer segmentation, churn/LTV) or operational analytics (logistics, route optimization, maintenance optimization)