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Entry Level Analytics Engineer Jobs in Arizona (NOW HIRING)

Entry level Industrial Engineer

Mesa, AZ ยท On-site

$69K - $93K/yr

Entry level Industrial Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Conducts basic work flow design and analysis. * Develops simple models, databases and spreadsheets ...

Entry level Industrial Engineer

Mesa, AZ

$69K - $93K/yr

Entry level Industrial Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Conducts basic work flow design and analysis. * Develops simple models, databases and spreadsheets ...

Entry level Industrial Engineer

Mesa, AZ

$69K - $93K/yr

Entry level Industrial Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS ... Conducts basic work flow design and analysis. * Develops simple models, databases and spreadsheets ...

Currently, we are looking for entry-level software programmers, Java full stack developers, Python ... We want data science/machine learning/data analyst and Java full stack candidates. For data science ...

Langan provides expert land development engineering and environmental consulting services for major ... Strong attention to detail with excellent analytical, multitasking, and judgment capabilities;

Langan provides expert land development engineering and environmental consulting services for major ... Strong attention to detail with excellent analytical, multitasking, and judgment capabilities;

The RF Engineer I works under immediate supervision and uses established procedures to perform ... Support endtoend systems analysis and contribute to the design of RF and mixedsignal communications ...

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Entry Level Analytics Engineer information

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

AspectEntry Level Analytics EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; some certificationsBachelor's in Statistics, Math, or related field; certifications optional
Work EnvironmentTechnical teams, data engineering projects, software toolsBusiness units, reporting, data visualization tools
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, retail
Common Search & ComparisonYesYes

The Entry Level Analytics Engineer focuses on building data pipelines, integrating data sources, and supporting data infrastructure, often requiring programming skills. Data Analysts primarily interpret data, create reports, and visualize insights for business decisions. While both roles work with data, Analytics Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and reporting.

What does an Entry Level Analytics Engineer do?

An Entry Level Analytics Engineer is responsible for building and maintaining data pipelines, transforming raw data into usable formats, and ensuring data quality for analysis. They work closely with data analysts and data scientists to create data models and automate data workflows, often using tools like SQL, Python, and cloud data platforms. Entry level positions focus on learning best practices, supporting senior engineers, and helping the organization make data-driven decisions by providing clean and reliable data.

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

To thrive as an Entry Level Analytics Engineer, you need a solid grounding in data analysis, SQL, and basic programming skills, often supported by a degree in computer science, statistics, or a related field. Familiarity with data modeling tools, analytics platforms like dbt, and cloud data warehouses such as Snowflake or BigQuery is typically expected. Strong problem-solving abilities, attention to detail, and effective communication are important soft skills that help bridge technical and business needs. These skills ensure accurate, actionable data insights and smooth collaboration with cross-functional teams in data-driven environments.

What types of projects do Entry Level Analytics Engineers typically work on, and how do they collaborate with data teams?

Entry Level Analytics Engineers often assist with building and maintaining data pipelines, transforming raw data into usable formats for analysis, and developing reports or dashboards for business stakeholders. They work closely with data analysts to understand reporting needs and with data engineers to ensure data quality and efficient data flow. Collaboration is key, as they may participate in team meetings, code reviews, and documentation efforts to support broader analytics goals. This role provides hands-on experience with modern data tools while offering opportunities to learn from more senior team members.
What are the most commonly searched types of Analytics Engineer jobs in Arizona? The most popular types of Analytics Engineer jobs in Arizona are:
What cities in Arizona are hiring for Entry Level Analytics Engineer jobs? Cities in Arizona with the most Entry Level Analytics Engineer job openings:
Infographic showing various Entry Level Analytics Engineer job openings in Arizona as of June 2026, with employment types broken down into 1% Locum Tenens, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.
Entry Level Java developer/Data engineer - Remote

Entry Level Java developer/Data engineer - Remote

SynergisticIT

Tempe, AZ โ€ข On-site

$50.25 - $69/hr

Other

Posted 27 days ago


Job description

CS/IT/Data Science Graduates or About to be Grads. Get Hired by following a Process! Graduating with a CS degree is impressive โ€” but itโ€™s not enough anymore.

Employers want handsโ€‘on experience, real projects, and interviewโ€‘ready candidates. Getting hired in tech isnโ€™t just about knowing how to code โ€” itโ€™s about proving you can deliver value from day one. Despite layoffs and market shifts, the tech industry still needs skilled developers.

The challenge is proving youโ€™re ready to contribute. A CS degree gives you a foundation, but employers want more โ€” they want proof you can apply your knowledge in realโ€‘world scenarios. If you just graduated (or youโ€™re about to) and the job search is already feeling confusing, youโ€™re not imagining it.

A degree proves you can learnโ€”but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. Thatโ€™s why many new grads send hundreds of applications and still hear nothing back. Itโ€™s not because youโ€™re โ€œnot smart enough.โ€ Itโ€™s because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.

We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AIโ€”full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML. SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AIโ€”so you donโ€™t graduate with scattered skills, you graduate with an employable stack.

SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95kโ€“$154k range depending on role and skill depth. For a new grad, the bigger message isnโ€™t the numberโ€”itโ€™s that results require a structured pathway, not random applications. Hereโ€™s a realistic way to think about your advantage as a fresh graduate: youโ€™re early enough to build the right foundation before bad habits set in.

If you master fundamentalsโ€”coding, debugging, data structures, system thinkingโ€”and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of โ€œentry-levelโ€ candidate who actually feels like a safe hire. What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers.

The strongest candidates arenโ€™t โ€œtool collectorsโ€โ€”theyโ€™re people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly. Why fresh grads get stuckโ€” Fresh grads often struggle for four predictable reasons: Resume doesnโ€™t match job keywords (ATS filters you out). Projects look like school assignments (not production-aligned).

Interview skills are undertrained (DSA, system design, SQL, behavioral). No structured pipeline (random applying without feedback loops). A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says โ€œyes.โ€ Who this path fits best If youโ€™re a recent graduate, youโ€™ll likely fit if you match any of these: New grads in CS, Engineering, Math, or Statistics with limited job experience Students finishing Bachelorโ€™s or Masterโ€™s programs who need a real hiring plan Candidates who apply consistently but donโ€™t get callbacks Candidates who reach interviews but struggle to close International students on F-1/OPT who need a job plan for STEM extension/H-1B timing Graduates with strong academics but thin practical experience SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.

If youโ€™re tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills โ†’ portfolio โ†’ interview readiness โ†’ targeted applications โ†’ scheduled interviews โ†’ offer. If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact & get a roadmap:https://www.synergisticit.com/contact-us/ Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career?

Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you donโ€™t need โ€œmore random courses.โ€ You need a guided, job-focused path and the right people around you. In tech, itโ€™s not just what you learnโ€”itโ€™s how you learn and who you build with that decides how far you go.

Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you donโ€™t want to be contacted please donโ€™t submit your resume