ZipRecruiter

Log In

2

Remote Applied Data Analytics Jobs in Phoenix, AZ

GitKraken

Applied Data Scientist

Scottsdale, AZ · Remote

Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one ... Deep experience in machine learning, applied AI, or a similarly hands-on product data role at a ...

GitKraken

Applied Data Scientist

Scottsdale, AZ · Remote

Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one ... Deep experience in machine learning, applied AI, or a similarly hands-on product data role at a ...

U-Haul

Contact Center Data Analyst

Phoenix, AZ · On-site +1

... remote work. As a Data Analyst, team members will be responsible for evaluating and improving U ... Potential to share and teach skills around advanced data analytics and data evaluation * Handling a ...

Arsenault Inc

Data Analyst (REMOTE)

Phoenix, AZ · Remote

$115K - $126K/yr

Develops ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools (i.e. SSRS, Tableau). Exhibits analytical rigor, judgment, and ability to present a ...

MM International

Healthcare Data Analyst

Chandler, AZ · Remote

Remote Hours: 8 AM - 5 PM EST Start Date: June 27 Length: 12 months CTH (Contract-to-Hire ... Collaborate with business and analytics teams to understand and solve data challenges. * Develop ...

next page

Showing results 1-20

All JobsApplied Data Analytics JobsRemote Applied Data Analytics JobsRemote Applied Data Analytics Jobs in Phoenix, AZ

Remote Applied Data Analytics information

See Phoenix, AZ salary details

$24

$54

$93

How much do remote applied data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote applied data analytics in Phoenix, AZ is $54.36, according to ZipRecruiter salary data. Most workers in this role earn between $43.70 and $61.59 per hour, depending on experience, location, and employer.

What is remote applied data analytics?

A Remote Applied Data Analytics job involves analyzing data to extract insights and help organizations make data-driven decisions, all while working from a location outside of a traditional office. Professionals in this role use statistical methods, programming, and data visualization tools to interpret complex datasets. They often collaborate with cross-functional teams to solve business problems, optimize processes, and present actionable findings. Remote positions in this field require strong technical skills, good communication, and the ability to work independently using digital collaboration tools.

What are the key skills and qualifications needed to thrive as a remote applied data analytics professional?

To thrive as a Remote Applied Data Analytics professional, you need a strong background in statistics, data analysis, and problem-solving, typically supported by a degree in a quantitative field. Proficiency with data analytics tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI, as well as familiarity with data management systems, is essential. Strong communication, self-motivation, and the ability to work independently are key soft skills for succeeding remotely and translating data insights into actionable recommendations. These skills ensure effective analysis, clear communication of findings, and the ability to drive data-informed decisions in a remote work environment.

What are some common challenges faced by professionals in remote applied data analytics roles, and how can they be addressed?

Remote applied data analytics professionals often encounter challenges such as effective communication with cross-functional teams, maintaining data security, and managing time across different time zones. To address these issues, it's important to leverage collaborative tools for clear communication, establish regular check-ins, and follow best practices for data privacy. Additionally, setting structured work hours and proactively aligning with teammates can help ensure smooth project workflows and successful outcomes.

What is the difference between Remote Applied Data Analytics vs Remote Data Analyst?

AspectRemote Applied Data AnalyticsRemote Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related field; experience with data visualization tools
Work EnvironmentCollaborative teams, project-based tasks, often cross-functionalData-focused tasks, reporting, and data interpretation within organizations
Employer & Industry UsageTech, finance, healthcare, consulting firmsBusiness, marketing, finance, and healthcare sectors

Remote Applied Data Analytics involves applying advanced analytics techniques to solve complex problems, often requiring knowledge of data science tools. Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles require analytical skills, Applied Data Analytics emphasizes modeling and predictive analytics, whereas Data Analysts concentrate on data interpretation and visualization.

Can a remote applied data analytics get a remote job?

Yes, remote applied data analytics professionals can find remote job opportunities, especially as many companies offer remote positions for data analysis roles. Success often depends on skills in data tools like SQL, Python, or R, and the ability to work independently in a virtual environment.

Can you work remotely in remote applied data analytics?

Remote applied data analytics roles are commonly available, allowing professionals to work from home or other locations. These jobs often require skills in data analysis tools like Python, R, or SQL, and may involve collaboration via online platforms. Many companies offer flexible schedules for remote data analysts, depending on project needs and company policies.
What are popular job titles related to Remote Applied Data Analytics jobs in Phoenix, AZ? For Remote Applied Data Analytics jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Remote Applied Data Analytics jobs in Phoenix, AZ look for? The top searched job categories for Remote Applied Data Analytics jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Remote Applied Data Analytics jobs? Cities near Phoenix, AZ with the most Remote Applied Data Analytics job openings:
Remote Applied Data Analytics jobs near you
Infographic showing various Remote Applied Data Analytics job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,066 per year, or $54.4 per hour.

Applied Data Scientist

GitKraken

Scottsdale, AZ • Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 21 days ago

Job description

The Company

GitKraken is the developer experience (DevEx) platform of choice for more than 40 million developers and 100,000 organizations globally. Combining built-in AI and powerful workflow orchestration, GitKraken empowers development teams to eliminate unnecessary toil, streamline collaboration, and accelerate productivity. GitKraken’s seamless integrations with leading Git providers, issue tracking tools, and AI solutions make it the most versatile DevEx platform available across desktop, command line, IDE, web, and mobile environments. Discover smarter, faster development at www.gitkraken.com or follow us on LinkedIn.


The Role

At GitKraken, our goal is to help developers and their teams focus, create, and collaborate while minimizing distractions, context switching, and wasted time. Our developer experience platform supports millions of developers across desktop, command line, IDE, browser, web, and mobile.


We’re looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data. Sometimes it will come from the business. In both cases, you’ll be expected to determine what’s possible, identify the fastest credible path forward, and ship solutions that create measurable impact.


This is a high-ownership role for someone comfortable working across data, product, and engineering. You should be able to frame ambiguous problems, explore messy data, build models or heuristics, integrate with production systems, measure outcomes, and iterate quickly. We care about practical impact, traction, and speed of learning. We are not looking for someone who waits for perfect specs or over-polishes a solution before proving it matters.


What You'll Do

  • Identify high-value opportunities from product, customer, and operational data
  • Evaluate ambiguous ideas quickly and determine what is feasible, useful, and worth shipping
  • Identify high-value opportunities from product, customer, and operational data
  • Build practical 80/20 solutions that create leverage quickly, then refine them based on traction
  • Own end-to-end execution across data exploration, modeling, experimentation, backend integration, and productization
  • Partner with engineering, product, design, and leadership to turn rough ideas into shipped capabilities
  • Use ML, analytics, heuristics, and automation pragmatically rather than forcing a model where one is not needed
  • Define success metrics, instrument outcomes, and improve solutions based on real-world usage
  • Help shape how GitKraken uses AI and data to improve developer workflows, team velocity, and product experience


Our Tech Lens

We value strong fundamentals over a rigid checklist and are always open to adopting new technologies, here is a snapshot of our current ecosystem:

  • Languages: Python (for data/ML execution), alongside Go and TypeScript across our core product and backend environments.
  • Data & Infrastructure: Snowflake for data warehousing, AWS for cloud infrastructure, and Datadog for monitoring and observability.
  • AI Ecosystem & DevEx: We live and breathe developer experience. We heavily leverage and build around modern AI development tools and LLMs like Cursor, Claude Code, and Codex to accelerate execution and shape the future of workflows.


What We're Looking For

  • Deep experience in machine learning, applied AI, or a similarly hands-on product data role at a Senior level
  • A track record of shipping data or ML-powered capabilities into real products or operational workflows
  • Comfort moving from messy problem statements to practical execution without a lot of structure
  • Ability to work across the stack, not just in notebooks
  • Strong product judgment and a bias toward simple solutions that deliver measurable value
  • Experience deciding whether a problem is best solved with ML, rules, analytics, automation, or workflow design
  • Ability to balance speed and rigor, including knowing when “good enough to learn” is the right answer
  • Strong communication skills and the ability to explain tradeoffs clearly to technical and non-technical partners
  •  Ownership mindset: you don’t wait for perfect specs, and you follow through from idea to impact


Bonus Points

  • You’ve built and shipped data or ML-powered features, not just analyses
  • You can prototype quickly and are comfortable refining after launch
  • You know how to avoid getting buried in edge cases before the core value is proven
  • You like working in a company with a bias toward action, accountability, and high ownership
  • You want your work to directly influence product direction and business outcomes



How you'll be rewarded

 Excellence — Competitive compensation with annual performance-based pay increases
 Balance — Flexible Paid-Time-Off Policy & paid company holidays (chosen by our employees)
 Parent life — Generous paid parental leave
Pets — Pet insurance plan (with no exclusions)
Health — Health, dental, and vision insurance with competitive employer cost-sharing
Headquarters — Modern, fully equipped offices designed to maximize productivity in a hybrid environment
 Culture — Great Place to Work Certified
 Growth — Paid career development opportunities, audiobook subscriptions, and mentorship
 Future — 401(k) retirement plan plus company matching
 Travel — Company paid domestic trip after your 1-year anniversary & an international trip every 5 years