ZipRecruiter

Log In

2

Entry Level Analytics Engineer Jobs (NOW HIRING)

Augur Consulting

Entry-Level Analyst

Arlington, VA · On-site

Data Analytics & Visualization responsibilities include: Using PowerBI, Tableau, R, JACS, PO$T, CO ... Experience with MS Project, analytical software tools, and programing languages such as R, Python ...

Tetra Tech

ENTRY LEVEL CIVIL ENGINEER

Marlborough, MA · On-site

The Entry-Level Civil Engineer supports the planning, design, and analysis of civil engineering ... projects, including preparation of design plans, technical reports, and hydrologic/hydraulic ...

ARA

Entry-Level Civil Engineer - Pavements

Champaign, IL · On-site

$65.74K - $77.25K/yr

As an entry-level civil engineer in our Support Services Directorate, you may participate in field data collection and analysis (e.g., pavement marking retroreflectivity testing, manual and automated ...

next page

Showing results 1-20

People also search for

All JobsEntry Level Analytics Engineer Jobs

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 May 29, 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 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 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 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.

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:
What job categories do people searching Entry Level Analytics Engineer jobs look for? The top searched job categories for Entry Level Analytics Engineer jobs are:
Entry Level Analytics Engineer jobs near you
Infographic showing various Entry Level Analytics Engineer job openings in the United States as of May 2026, with employment types broken down into 70% Full Time, 16% Part Time, 13% Contract, and 1% Nights. Highlights an 73% Physical, 8% Hybrid, and 19% Remote job distribution, with an average salary of $86,381 per year, or $41.5 per hour.
Associate Analytics Engineer - Data & Visualization

Associate Analytics Engineer - Data & Visualization

SHI

Somerset, NJ

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago

Job description

About Us

Since 1989, SHI International Corp. has helped organizations change the world through technology. We've grown every year since, and today we're proud to be a $16 billion global provider of IT solutions and services.

Over 17,000 organizations worldwide rely on SHI's concierge approach to help them solve what's next.But the heartbeat of SHI is our employees - all 7,000 of them.If you join our team, you'll enjoy:

  • Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.

  • Continuous professional growth and leadership opportunities.

  • Health, wellness, and financial benefits to offer peace of mind to you and your family.

  • World-class facilities and the technology you need to thrive - in our offices or yours.

Job SummaryThe Associate Analytics Engineer - Data & Visualization supports the development, maintenance, and continuous improvement of dashboards, reporting solutions, and data models that enable business teams to make informed, datadriven decisions. This entrylevel role is designed for earlycareer professionals looking to build a strong foundation in analytics engineering, business intelligence, and data visualization within a modern, cloudbased data environment.
Working closely with senior team members, this role helps transform raw data into trusted, actionable insights while learning best practices related to data modeling, dashboard design, governance, and analytics delivery. This position directly supports the newly combined ITAM, FinOps, and MSOS organization, known as Spend Optimization Services (SOS).

Role Description

Dashboard & Visualization Support

  • Support the development and maintenance of dashboards and reports using tools such as Microsoft Power BI

  • Assist with implementing dashboard enhancements, bug fixes, and usability improvements

  • Help ensure dashboards are visually clear, intuitive, and aligned with established reporting standards

  • Validate dashboard data accuracy and support testing activities prior to releases

  • Support recurring reporting and respond to ad hoc data requests from business stakeholders

Data Engineering & Transformation Support

  • Assist in building and maintaining datasets, transformation logic, and curated reporting tables

  • Support data quality validation and troubleshooting across reporting pipelines

  • Learn and apply analytics engineering best practices related to data structures, naming conventions, and governance

  • Help maintain documentation for datasets, business rules, and KPI definitions

  • Support the broader analytics architecture across platforms such as Microsoft Fabric, SQLbased environments, and cloud data platforms

Analytics Operations & Delivery

  • Participate in sprint planning, backlog refinement, and regular status updates

  • Track work and updates using project management tools such as Asana

  • Collaborate with senior analytics engineers and analysts to support project delivery timelines

  • Assist with production support and issue resolution for dashboards and reporting solutions

  • Learn how analytics solutions integrate with enterprise business processes and workflows

What Success Looks Like

  • Produces accurate, reliable, and wellstructured reporting outputs

  • Demonstrates curiosity, initiative, and continuous learning in analytics engineering concepts

  • Contributes positively to team collaboration and delivery goals

  • Builds stronger technical and business understanding over time

  • Develops confidence in independently supporting dashboards, datasets, and reporting workflows


Behaviors and Competencies

  • Analytical Thinking: Can apply critical thinking to analyze data, identify patterns, and make basic inferences.

  • Data Analysis: Can identify patterns and trends in data, propose hypotheses, and use statistical techniques to test them.

  • Data Literacy: Can identify relevant data sources, collect data, and use basic tools to interpret and report findings.

  • Critical Thinking: Can analyze and interpret data to inform decision-making, and propose solutions based on logical reasoning.

  • Attention to Detail: Can identify errors or inconsistencies in work and make necessary corrections.

  • Communication: Can effectively communicate complex ideas and information, and can adapt communication style to the audience.

  • Problem-Solving: Can identify problems, propose solutions, and take action to resolve them without explicit instructions.

  • Technical Expertise: Can apply technical knowledge and skills effectively in most situations, with occasional guidance.

  • Time Management: Can generally use time effectively and is working towards improving task prioritization and deadline management.

  • Continuous Improvement: Can identify moderate areas for improvement and implement moderate changes.


Skill Level Requirements

  • Foundational analytics and data engineering skill set

  • Ability to work with SQL and relational database structures

  • Data visualization and reporting ability

  • Analytical thinking and attention to detail

  • Problemsolving and troubleshooting skills

  • Clear written and verbal communication skills

  • Collaboration skills within crossfunctional technical teams

  • Ability to manage multiple tasks in a structured, sprintbased environment

  • Willingness to learn new technologies and analytics best practices


Other Requirements

  • Bachelor's degree or equivalent experience required

  • 1-2 years of experience in analytics engineering, business intelligence development, or data modeling roles

  • Foundational understanding of SQL and relational databases

  • Exposure to data visualization or reporting tools through coursework, internships, or personal projects

Preferred:

  • Internship, academic, or project experience using Microsoft Power BI or similar business intelligence tools

  • Exposure to technologies such as SQL, Python, PySpark, or cloudbased data platforms

  • Familiarity with analytics concepts such as ETL/ELT, data modeling, or dashboard design

  • Interest in analytics engineering, business intelligence, or data visualization as a longterm career path

The estimated annual pay range for this position is $75,000 - $95,000 which includes a base salary and bonus. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.

Equal Employment Opportunity - M/F/Disability/Protected Veteran Status

Apply