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Entry Level Analytics Engineer Jobs in Georgia (NOW HIRING)

Entry-Level Software / Data / Machine Learning Engineer We're seeking a high-potential, entry-level ... Build, analyze, and improve data-driven systems using Python and SQL * Work with structured data ...

AI / ML Engineer

Atlanta, GA ยท On-site +1

With remote work and global talent pools, even entry-level roles receive hundreds of applications ... Data Analysts & Data Visualization Engineers * Business Intelligence Analysts * Data Scientists ...

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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 Georgia? The most popular types of Analytics Engineer jobs in Georgia are:
What are popular job titles related to Entry Level Analytics Engineer jobs in Georgia? For Entry Level Analytics Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Entry Level Analytics Engineer jobs in Georgia look for? The top searched job categories for Entry Level Analytics Engineer jobs in Georgia are:
What cities in Georgia are hiring for Entry Level Analytics Engineer jobs? Cities in Georgia with the most Entry Level Analytics Engineer job openings:
Infographic showing various Entry Level Analytics Engineer job openings in Georgia as of June 2026, with employment types broken down into 1% Locum Tenens, 71% Full Time, 15% Part Time, 12% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Data Scientist/software Engineer - Junior (Remote)

Data Scientist/software Engineer - Junior (Remote)

SynergisticIT

Atlanta, GA โ€ข On-site, Remote

Full-time

Posted 6 days ago


Job description

Failing Interviews or No Interviews or no Offers ? Get Hired with a Process ! Rejections can be discouraging, but they donโ€™t reflect your true potential โ€” they reflect your preparation.

Employers want handsโ€‘on experience, real projects, and interviewโ€‘ready candidates. SynergisticIT fills the gap between classroom learning and realโ€‘world hiring expectations. If youโ€™re getting interviews but not offers, youโ€™re closer than you thinkโ€”and thatโ€™s the most frustrating stage to be in.

Youโ€™ve already proven youโ€™re employable enough to get screened, but something breaks during technical rounds: data structures, problem-solving, system design, project explanations, or even the way you communicate tradeoffs. Most candidates donโ€™t fail because theyโ€™re โ€œnot smart.โ€ They fail because they prepared the wrong wayโ€”watching tutorials on youtube, doing coursework on udemy/Courserra, building shallow projects, or memorizing answers without mastering fundamentals. SynergisticITโ€™s approach is built for this exact scenario.

Since 2010, SynergisticIT has helped candidates move from โ€œalmostโ€ to โ€œoffer,โ€ with our candidates landing salaries typically ranging from $90,000 to $154,000 depending on role and stack. Candidates have received offers from employers such as Apple, Google, PayPal, Visa, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, AutoZone, Deloitte, Bank of America, and more. SynergisticIT works with clients hiring for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data engineers, data scientists, and machine learning engineers.

The focus is on high-demand tracks: Java / Full Stack / DevOps and Data (Analytics/Engineering/Science) + Machine Learning/AI. Interview success improves when you can demonstrate not only coding ability, but also the โ€œend-to-endโ€ thinking employers want: APIs, backend design, database decisions, cloud deployment, CI/CD, and real project narratives. 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?

Ideal candidates for interview-focused support include: recent grads with limited experience, candidates stuck after multiple interviews, professionals returning after layoffs, candidates with career gaps. SynergisticIT also supports the candidate journey by assisting with STEM extension and providing process support for H-1B/green card filing through employment partners (actual filing depends on the employer). Explore resources and get started on your Journey to get Hired: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact: https://www.synergisticit.com/contact-us/ If youโ€™re tired of being โ€œfinal roundโ€ without the offer, stop guessing and start preparing with a plan.

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.