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Remote Entry Level Analytics Engineer Jobs in Arizona

Arizona Department of Administration

$18/hr

REMOTE OPTIONS, PHOENIX Categories: Internship DEPARTMENT OF ECONOMIC SECURITY Your Partner For A ... and data analytics. • Collaborate with cross-functional teams including developers, data ...

The State of Arizona

Management Analyst 4

Phoenix, AZ · On-site +1

$55K/yr

... including remote work opportunities. With career paths for seasoned professionals in a variety of fields, entry-level positions, and internship opportunities, AHCCCS offers meaningful career ...

WSP

Associate Civil Engineer, Mine Waste

Tucson, AZ · On-site +1

Strong analytical skills including the ability to complete engineering calculations and analyses. * Ability to work both independently and on teams. * Comfortable working in remote settings.

Insight

Sr Cloud Engineer

Chandler, AZ · On-site +1

$145K/yr

This is a remote work opportunity Salary: $145,000 annually Insight at a Glance * 14,000+ engaged ... Ability to perform business analysis and work across technical and business teams * Strong ...

micro1 AI

Domain Expert - (STEM PhD)

Tucson, AZ · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

New

micro1 AI

Domain Expert - (STEM PhD)

Phoenix, AZ · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

New

micro1 AI

Domain Expert - (STEM PhD)

Mesa, AZ · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

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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 are popular job titles related to Remote Entry Level Analytics Engineer jobs in Arizona? For Remote Entry Level Analytics Engineer jobs in Arizona, the most frequently searched job titles 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:
Remote Entry Level Analytics Engineer jobs near you

Data Engineer

METASOFT SOLUTIONS LLC (Formerly - MST Solutions)

Phoenix, AZ • Remote

$114K - $137K/yr

Full-time

Posted 11 days ago

Job description

POSITION TITLE: Data Engineer
OFFICE LOCATION: Phoenix, AZ
CORE TIME ZONE: MST
FULL-TIME WORKING REMOTELY (from home): Yes
REMOTE WORK COMMENTS: Must be available during normal working hours in MST (AZ time)
POSITION SUMMARY:
We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives
PRINCIPAL RESPONSIBILITIES:
• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data' technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Troubleshoots issues with minimal guidance, identifies bottlenecks in existing data workflows and provides solutions for a scalable, defect-free application
• Works with onshore/offshore team to analyze, develop and improve pipeline run times as well as produce accurate defect free code
• Complies with Company policy and practices relating to the System Development Life Cycle.
• Provides Tier 3 support and resolution of IT issues escalated by IT Customer Support.
• Support audit and compliance reporting requests.
• Support the operation of MarkLogic and Snowflake products on a 24/7 basis as needed.
• Supports production environment in the event of emergency
• Participate in on-call support 24x7 weekly rotation of the operation of Informatica.
• Performs other job-related duties as assigned or apparent.
MINIMUM QUALIFICATIONS:
• 2+ years of experience in a Data Engineer role, who has attained a bachelor's degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• AWS: 1 year experience
• DevOps Practices: 1 year experience
• 2+ years' experience working with data warehousing, ETL development and ETL architecture.
• 2+ years' experience combined experience with any of the following database technologies (RDBMS: MSSQL, MySQL Oracle; NoSQL: MarkLogic, Snowflake, DynamoDB, Redis).
• 2 years' experience working on large data initiatives (?5 terabytes).
• 1 years' experience with JavaScript
PREFERRED QUALIFICATIONS:
• 2+ years' experience working with data warehousing, ETL development and ETL architecture.
• 2+ years' experience combined experience with any of the following database technologies (RDBMS: MSSQL, MySQL Oracle; NoSQL: MarkLogic, Snowflake, DynamoDB, Redis).
• 2 years' experience working on large data initiatives (?5 terabytes).
• 1+ years' experience with JavaScript
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data' data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Good knowledge and experience of working with OO Javascript, XHTML, CSS, XML, Ajax and one or more JavaScript libraries (e.g. Prototype, JQuery)
• Experience with web services (e.g. RESTful services), including the ability to programmatically interact with data formats that may include XML, JSON and RDF
• Experience with writing software for complex web-based business applications which makes use of client-side data capture, validation and presentation
• Working knowledge of version control systems (e.g. SVN, Git)