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Entry Level Analytics Engineer Jobs (NOW HIRING)

SQL Developer (Entry-Level)

Baltimore, MD ยท On-site

$49 - $67/hr

Junior Data Engineer -- Build the Backbone of Data-Driven Teams Data engineering is a powerful path ... Data scientists and analysts depend on clean, accessible, reliable data--and data engineers help ...

Description CME Associates is seeking a motivated and detail-oriented Entry-Level Civil Engineer to ... Project Design and Analysis: Assist in the preparation of civil engineering designs, plans, and ...

Showing results 41-60

Entry Level Analytics Engineer information

See salary details

$40.5K

$86.4K

$142.5K

How much do entry level analytics engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for entry level analytics engineer in the United States is $86,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $103,500.00 per year, depending on experience, location, and employer.

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.
More about Entry Level Analytics Engineer jobs
What cities are hiring for Entry Level Analytics Engineer jobs? Cities with the most Entry Level Analytics Engineer job openings:
What are the most commonly searched types of Analytics Engineer jobs? The most popular types of Analytics Engineer jobs are:
What states have the most Entry Level Analytics Engineer jobs? States with the most job openings for Entry Level Analytics Engineer jobs include:
Infographic showing various Entry Level Analytics Engineer job openings in the United States as of July 2026, with employment types broken down into 69% Full Time, 8% Part Time, and 23% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $86,381 per year, or $41.5 per hour.

Engineer I, Product Analysis

Intellectt INC

Burlington, MA โ€ข On-site

Contractor

Posted 15 days ago


Job description

Job Title: Product Analysis Engineer

Location: Burlington, MA
 

Job Summary:

We are looking for an Engineer I – Product Analysis to support failure analysis of implanted medical devices. This role involves investigating returned/explanted products to identify root causes of failures, working in a laboratory environment while following FDA and quality standards. Candidates must be comfortable working onsite, wearing lab gowning/PPE, and collaborating with cross-functional teams.

Key Responsibilities:

  • Perform failure analysis on explanted medical device products.
  • Investigate and identify root causes of product failures.
  • Document findings and prepare technical reports.
  • Work closely with Product Development, Manufacturing, Quality, and Product Surveillance teams.
  • Support quality improvement initiatives related to failure analysis.
  • Follow FDA regulations, Quality Management System (QMS), and company procedures.
  • Assist with test equipment selection and lab activities.
  • Mentor junior lab staff when needed.
  • Manage multiple tasks while meeting project deadlines.

Required Qualifications:

  • Bachelor's degree in Engineering (Electrical or Biomedical Engineering preferred).
  • Engineering experience is preferred (entry-level candidates with relevant internships/projects may be considered).
  • Strong analytical and problem-solving skills.
  • Good written and verbal communication skills.
  • Ability to work independently and in a team environment.
  • Proficient in Microsoft Office (Excel, Word) and basic computer applications.
  • Knowledge of medical devices, FDA regulations, or medical terminology is a plus.