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Remote Data Jobs in Phoenix, AZ (NOW HIRING)

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title: Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central time zone.

Data Engineer

Phoenix, AZ · Remote

$113K - $136K/yr

US-AZ-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status ... As a Data Engineer, you will be responsible for designing and developing data solutions including ...

New

Remote Hours: 8 AM - 5 PM EST Start Date: June 27 Length: 12 months CTH (Contract-to-Hire) Interview Process: 2 Rounds (1 Culture Fit + 1 Technical Interview) Role Summary: As a Mid-Level Data and ...

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

By leveraging proprietary data and analytics, our solutions are tailored for each step of our ... Hybrid and remote work opportunities * Medical, dental, and vision with HSA and FSA options Note:

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Showing results 1-20

Remote Data information

See Phoenix, AZ salary details

$45.7K

$163.8K

$241.8K

How much do remote data jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote data in Phoenix, AZ is $163,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,600.00 and $168,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Phoenix, AZ? The most popular types of Data jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Remote Data jobs? Cities near Phoenix, AZ with the most Remote Data job openings:
Infographic showing various Remote Data job openings in Phoenix, AZ as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $163,848 per year, or $78.8 per hour.
Data Scientist (Remote)

Data Scientist (Remote)

Sprouts Farmers Market

Phoenix, AZ • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Sprouts Farmers Market rating

6.8

Company rating: 6.8 out of 10

Based on 816 frontline employees who took The Breakroom Quiz

26th of 121 rated grocery stores


Job description

Overview
This is a fully remote opportunity. Sprouts is currently at the beginning of a journey to provide personalized experiences to all of our customers every time they interact with us.  The Data Scientist will join a team of other data scientists and analysts in helping develop the machine learning models, recommender systems and processes to make that vision a reality. 

Overview of Responsibilities

Analytics & Business Partnering (70%)

  • Collaborate with cross functional stakeholders to understand business requirements/KPIs to design, develop & execute analytical solutions that support decisions and improve business outcomes
  • Analyze data, identify anomalies and provide actionable insights to support business partners
  • Conduct analyses with high degree of precision and accuracy with readily available tools
  • Predict, test and measure organization initiatives to identify impacts to business outcomes
  • At regular business intervals, update and distribute reports, dashboards, presentations to executive leadership
  • Drive continuous improvements throughout the organization by improving the speed in which we can transform data into decisions, actions and quantifiable results.
  • Respond to ad hoc data and analysis requests to support business partners
  • Provide leadership and direction to ensure processes and procedures are in place to effectively use data to monitor and manage business performance.

 

Development, Machine Learning & Maintenance (30%)

  • Train and Test Supervised and Unsupervised machine learning models to predict business outcomes, segment customers or products or create recommendations or other personalized content
  • Work with IT to implement machine learning models into production
  • In partnership with IT manage any automated ETL processes, narrowcast reports and maintenance of business intelligence & database servers supporting the Enterprise and Customer Analytics team.
  • Continually improve the efficiency/usability of BI capabilities for business users
  • Participate in projects to improve business intelligence capabilities, master data management, data governance, etc.
  • Continually validate the integrity of data sources and partner with internal and external teams to remedy issues as necessary
  • Develop processes and algorithms to cleanse/standardize/join disparate data sources
  • Partner with internal and external teams to integrate new sources of data into existing datasets and/or improve the reliability and availability of existing datasets

#LI-CS1


Qualifications
  • Bachelor’s Degree in computer science, math or related field required
  • Ideal candidate would have 2-5 years of prior experience in a joint business/technical role responsible for both development and delivering business results
  • Prior role and/or project experience in Data Science demonstrating strong analytical and problem-solving skills
  • Experience training and implementing supervised and unsupervised machine learning models
  • Strong programming experience, preferably in Python
  • Advanced level of experience with databases and writing SQL
  • Advanced level of experience with Business Intelligence tools, such as, PowerBI, Tableau, etc.
  • Experience with Microsoft Azure and Databricks a plus
  • Experience with Microsoft Office Suite tools including Outlook, Excel, Word, PowerPoint, Access, Vizio, etc.
  • Familiarity with standard data formats including CSV, JSON, XML, etc.
  • Ability to excel in an environment of change, ambiguity, and incomplete information
  • Ability to work with very large, complex and disparate data sources (accessing, connecting, and analyzing)
  • High level of business acumen, retail knowledge and intuition to guide analysis and insights preferred
  • Proven ability to tell a story through data and communicate effectively with key stakeholders.
  • Ability to handle multiple priorities against multiple deadlines
  • Strong written and verbal communication skills with the ability to take and give direction while participating in a team environment
  • Ability to effectively communicate information and respond to questions from groups of peers, managers, and business partners.

Benefits

In addition to a rewarding career, Sprouts offers a comprehensive program to help support you and your family. These programs include:

  • Competitive pay
  • Sick time plan that you can use to support you or your immediate families health
  • Vacation accrual plan
  • Opportunities for career growth
  • 15% discount for you and one other family member in your household on all purchases made at Sprouts
  • Flexible schedules
  • Employee Assistance Program (EAP)
  • 401(K) Retirement savings plan with a generous company match
  • Company paid life insurance
  • Contests and appreciation events throughout the year full of prizes, food and fun!

Eligibility requirements may apply for the following benefits:

  • Bonus based on company and/or individual performance
  • Affordable benefit coverage, including medical, dental and vision
  • Health Savings Account with company match
  • Pre-tax Flexible Spending Accounts for healthcare and dependent care
  • Company paid short-term disability coverage
  • Paid parental leave for both mothers and fathers
  • Paid holidays

Get Paid Every Day!

Sprouts Farmers Market offers DailyPay - if you’re hired as an eligible employee, you’ll be able to transfer the money you’ve already earned at no extra cost, and get it the next business day, for free.  We offer DailyPay so you don’t have to wait for payday to access the money you’ve already worked for. With DailyPay, you can see how much you’ve made every day and you can transfer your money any time before payday.

 You can learn more by visiting https://www.dailypay.com/partners/sprouts-farmers-market/.


Why Sprouts

Grow with us!

If you have a passion for inspiring people and a flair for fresh food, consider applying for a job at Sprouts! With a focus on customer service, our neighborhood grocery stores offer high-quality, farm fresh produce, natural meats, plenty of scoop-your-own bulk goods and much more in a fun, friendly, old-fashioned farmer’s market setting.  Come grow your career in healthy living with a fast-paced, rapidly growing company and teams that pride themselves on empowering others along their journey.

The above statements are intended to describe the general nature and level of the work being performed by people assigned to this work. This is not an exhaustive list of all duties, responsibilities, and requirements. Sprouts’ management reserves the right to amend and change duties, responsibilities, and requirements to meet business and organizational needs as necessary.

Sprouts will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the Fair Chance in Hiring Ordinance.

California Residents: We collect information in accordance with California law, please see here for more information.

Qualifications:
  • Bachelor’s Degree in computer science, math or related field required
  • Ideal candidate would have 2-5 years of prior experience in a joint business/technical role responsible for both development and delivering business results
  • Prior role and/or project experience in Data Science demonstrating strong analytical and problem-solving skills
  • Experience training and implementing supervised and unsupervised machine learning models
  • Strong programming experience, preferably in Python
  • Advanced level of experience with databases and writing SQL
  • Advanced level of experience with Business Intelligence tools, such as, PowerBI, Tableau, etc.
  • Experience with Microsoft Azure and Databricks a plus
  • Experience with Microsoft Office Suite tools including Outlook, Excel, Word, PowerPoint, Access, Vizio, etc.
  • Familiarity with standard data formats including CSV, JSON, XML, etc.
  • Ability to excel in an environment of change, ambiguity, and incomplete information
  • Ability to work with very large, complex and disparate data sources (accessing, connecting, and analyzing)
  • High level of business acumen, retail knowledge and intuition to guide analysis and insights preferred
  • Proven ability to tell a story through data and communicate effectively with key stakeholders.
  • Ability to handle multiple priorities against multiple deadlines
  • Strong written and verbal communication skills with the ability to take and give direction while participating in a team environment
  • Ability to effectively communicate information and respond to questions from groups of peers, managers, and business partners.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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