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Remote Entry Level Analytics Engineer Jobs in Arizona

Quality Assurance Analyst

Phoenix, AZ · Remote

$50K - $70K/yr

This position is remote with an initial preference for candidates in the Phoenix, Arizona Metro ... Work within an embedded Agile/Scrum team, collaborating with developers, QA, and stakeholders to ...

Please notethat while the posted position is a Field Service Engineer, the actual positionlevel ... analyze and identify solutions to customer issues using product knowledge and remote tools.

Hospital Billing Operator

Gilbert, AZ · Remote

$18.25 - $23.50/hr

As an Epic Hospital Billing Analyst, you will help review and submit hospital claims, resolve ... This is a primarily remote role supporting an enterprise Epic implementation, with minimal travel ...

Hospital Billing Operator

Tempe, AZ · Remote

$17.50 - $22.50/hr

As an Epic Hospital Billing Analyst, you will help review and submit hospital claims, resolve ... This is a primarily remote role supporting an enterprise Epic implementation, with minimal travel ...

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Remote Entry Level Analytics Engineer information

What are some common challenges faced by remote entry level analytics engineers, and how can they be addressed?

Remote entry level analytics engineers often face challenges such as learning new data tools independently, managing time across multiple projects, and staying connected with their team. To address these, it's helpful to proactively seek mentorship, participate in regular virtual meetings, and use collaboration platforms to communicate frequently. Establishing a structured daily routine and leveraging online resources can also aid in skill development and task management.

What is a Remote Entry Level Analytics Engineer?

A Remote Entry Level Analytics Engineer is a professional who works from a remote location to help organizations collect, organize, and analyze data. They typically assist in building and maintaining data pipelines, transforming raw data into usable formats, and ensuring data quality for reporting and analytics. Entry level positions are designed for those who are new to the field and may have recently completed relevant education or training. These roles often involve learning on the job, collaborating with data scientists and engineers, and using tools like SQL, Python, and data warehousing platforms. Remote roles offer flexibility to work from anywhere while contributing to data-driven decision-making.

What is the difference between Remote Entry Level Analytics Engineer vs Remote Data Analyst?

AspectRemote Entry Level Analytics EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic knowledge of SQL, Python, or RBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, project-based tasks, technical focusData interpretation, reporting, business insights
Employer & Industry UsageTech companies, startups, finance, healthcareMarketing firms, consulting, finance, retail

While both roles involve working with data, Remote Entry Level Analytics Engineers focus on building data pipelines and models, whereas Remote Data Analysts primarily interpret data and generate reports. The roles often overlap in skills like SQL and basic programming, but differ in technical depth and focus areas.

What are the key skills and qualifications needed to thrive as a Remote Entry Level Analytics Engineer, and why are they important?

To thrive as a Remote Entry Level Analytics Engineer, you need a solid understanding of data analysis, SQL, and basic programming skills, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data warehousing tools (such as Snowflake or BigQuery), version control systems like Git, and analytics platforms like dbt is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication are crucial soft skills for success in this role. These skills ensure accurate data modeling, effective collaboration across distributed teams, and the delivery of actionable business insights.
What are the most commonly searched types of Remote Analytics Engineer jobs in Arizona? The most popular types of Remote Analytics Engineer jobs in Arizona are:
What job categories do people searching Remote Entry Level Analytics Engineer jobs in Arizona look for? The top searched job categories for Remote Entry Level Analytics Engineer jobs in Arizona are:
What cities in Arizona are hiring for Remote Entry Level Analytics Engineer jobs? Cities in Arizona with the most Remote Entry Level Analytics Engineer job openings:

Pathologists (Freelance - Remote) - Phoenix, US

Prolific Academic Ltd

Phoenix, AZ • Remote

$200/hr

Full-time

Posted 20 days ago


Job description

Pathologists (Freelance - Remote)About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We are seeking qualified Pathologists to support a high-impact AI development project focused on medical image interpretation and clinical accuracy. As AI models become increasingly capable of analyzing complex medical data, we need experienced specialists to help ensure their outputs meet the highest standards of quality and reliability.

This is a flexible, remote opportunity paying approximately $200 per hour. Your expertise will directly contribute to the development of advanced AI systems used in healthcare and medical research.

To qualify for this project, you will be required to complete a short paid skills assessment as part of the screening process. The assessment is compensated at a rate of $48 per hour and typically takes no more than 5 minutes to complete.

What you'll bring
  • Verified status as a qualified Pathologist with relevant professional credentials
  • Experience interpreting and analysing medical images and pathology-related data
  • Strong attention to detail and the ability to assess complex medical information accurately
  • A reliable, fast internet connection and access to a computer
  • A PayPal account to receive payments from our clients
What you'll be doing in the role
  • Annotating medical images using your professional expertise
  • Reviewing and verifying AI-generated interpretations of medical images
  • Correcting inaccuracies and providing expert feedback on AI-generated responses
  • Evaluating the quality, accuracy, and clinical relevance of model outputs
  • Helping improve the performance of next-generation AI systems used in medical applications
Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Links to more information on Prolific

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Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.