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Remote Entry Level Analytics Engineer Jobs in Arizona

... analyses. * Direct experience supporting or driving projects in strategy, operations, sales ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

... analyses. * Direct experience supporting or driving projects in strategy, operations, sales ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

Senior Operations Research Analyst

Sierra Vista, AZ ยท On-site +1

$103K - $103K/yr

KBR's National Security Solutions team provides high-end engineering and advanced technology ... Remote * Travel Requirements: This position will require travel of 25% with potential surge to 50 ...

AI/ML Engineer II

Phoenix, AZ ยท On-site +1

$113K - $136K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... include analysis, solution design, data pipeline engineering, testing, deployment, scheduling ...

... analyses. * Direct experience supporting or driving projects in strategy, operations, sales ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

... analyses. * Direct experience supporting or driving projects in strategy, operations, sales ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

... analyses. * Direct experience supporting or driving projects in strategy, operations, sales ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

Location Remote (Candidate must reside in the Phoenix, Arizona Metro Area and complete part of ... Collaborate closely with developers and business partners in an Agile/Scrumban environment. Minimum ...

Location Remote (Candidate must reside in the Phoenix, Arizona Metro Area and complete part of ... Collaborate closely with developers and business partners in an Agile/Scrumban environment. Minimum ...

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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:

Associate Software Engineer - Frontend (AI First)

Precisely US Jobs

Phoenix, AZ โ€ข Remote

Other

Posted 8 days ago


Job description

Overview:

We are seeking an enthusiastic and motivated Associate Software Engineer to join our Master Data Management (MDM) product line within Precisely's Data Integrity Suite.ย  In this role, you will build modern, enterprise-grade, AIfirst user interfaces that enable customers to manage and interact with trusted, high-quality data across workflows, integrations, and analytics. You will work closely with backend engineers, product managers, UX designers, and platform teams to deliver intuitive, scalable, and high-performance frontend experiences. As part of an AIfirst engineering organization, you will use AI tools as a core part of designing, building, testing, and optimizing frontend applications. You will be expected to apply AI to accelerate development, improve code quality, and enhance problem-solving while maintaining strong engineering judgment. You will work closely with engineers, architects, and product teams to deliver scalable, reliable, production-ready capabilities that address real customer needs.

What you will do:

  • Build responsive, scalable, and reusable UI components using modern frameworks (Angular/React)
  • Translate UX designs and product requirements into high-quality, production-ready interfaces
  • Integrate frontend components with backend APIs and services supporting MDM workflows
  • Ensure performance, accessibility, and responsiveness across web applications
  • Use AI tools (Copilot, ChatGPT, Cursor, etc.) to accelerate UI development, debugging, and testing
  • Evaluate and validate AI-generated UI code for correctness, maintainability, and security
  • Write unit and integration tests to ensure frontend quality and reliability
  • Debug UI issues, performance bottlenecks, and cross-browser compatibility problems
  • Contribute to frontend architecture, coding standards, and best practices
  • Collaborate with UX, Product, Backend, QA, and Platform teams
  • Participate in Agile ceremonies, sprint planning, and code reviews
  • Continuously learn and adopt new frontend technologies and AI-assisted workflows

What we are looking for:

Required:

  • Bachelor's degree in computer science or related fieldย (Equivalent work experience will be accepted in place of the education requirement)
  • Years of experience: 1-2 years of experience in software development
  • Specific technical or software skills required: React/Angular
  • Strong knowledge of JavaScript, HTML, and CSS
  • Familiarity with modern frontend frameworks (Angular or React)
  • Understanding of web application architecture and REST APIs
  • Basic understanding of state management, component architecture, and UI design patterns
  • Knowledge of responsive design, browser compatibility, and performance optimization
  • Strong problem-solving and communication skills
  • Test-driven development mindset with understanding of unit test patterns, mocking strategies, and test quality gates
  • Strong problem-solving and communication skills

AI Skills/Knowledge:ย 

  • Hands-on experience using AI tools for UI development, debugging, and productivity (Copilot, Claude, ChatGPT, etc.)
  • Ability to evaluate and validate AI-generated frontend code for correctness and performance
  • Interest in AI-driven UI development workflows and design-to-code tools
  • Eagerness to adopt AI-assisted software engineering development practices and agentic workflows as part of daily work

Preferred Skills (a plus but not required):

  • Experience with Angular and React
  • Familiarity with UI testing frameworks (Jest, Cypress, Playwright, etc.)
  • Exposure to design systems and component libraries
  • Basic backend/API integration knowledge
  • Understanding of data-driven UI patterns and enterprise applications
  • Awareness of MDM concepts, data platforms, or data integration workflows
  • Familiarity with CI/CD pipelines and DevOps practices
  • Basic knowledge of accessibility standards (WCAG)

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