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Remote Junior Analytics Engineer Jobs (NOW HIRING)

Mentor junior team members and support knowledge sharing across the team. You Will Be a Good Fit ... This specific role is primarily remote, with occasional travel to an office or client site.

Analytics Engineer

Washington, DC ยท Remote

$80 - $100/hr

Remote (USA) Duration: Long Term Rate: Quote your best Required Qualifications: * At least 10+ years extensive experience in Analytics or Data engineering roles , with a strong record of leading ...

ANALYTICS ENGINEER-REMOTE

Wausau, WI ยท Remote

$115K - $130K/yr

Job Opening We have an opening for an Analytics Engineer position. Location: Remote with occasional travel. Note: online applications accepted only. Schedule: 8-5 PM CT. Pay Range: $115,000 - $130 ...

Analytics Engineer

Washington, DC ยท On-site +1

$80 - $100/hr

Remote (USA) Duration: Long Term Rate: Quote your best Required Qualifications: * At least 10+ years extensive experience in Analytics or Data engineering roles , with a strong record of leading ...

Analytics Engineer

$140K - $170K/yr

US Remote Reports To: Director of Data and Analytics Salary Range: $140,000-$170,000 Position Summary: The Analytics Engineer sits at the heart of IEM's modern data stack, turning raw source data ...

Analytics Engineer

OR ยท On-site +1

$140K - $170K/yr

US Remote Reports To: Director of Data and Analytics Salary Range: $140,000-$170,000 Position Summary: The Analytics Engineer sits at the heart of IEM's modern data stack, turning raw source data ...

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Remote Junior Analytics Engineer information

See salary details

$33.5K

$71.8K

$109.5K

How much do remote junior analytics engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for remote junior analytics engineer in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Junior Analytics Engineer, and why are they important?

To thrive as a Remote Junior Analytics Engineer, you need strong skills in SQL, data modeling, and basic statistics, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with analytics platforms like dbt, cloud data warehouses (e.g., Snowflake, BigQuery), and version control systems such as Git is expected. Attention to detail, proactive communication, and a willingness to learn are essential soft skills for collaborating remotely and solving data challenges. These competencies ensure that data pipelines are reliable, insights are accurate, and teams can effectively leverage data for decision-making.

How do Remote Junior Analytics Engineers typically collaborate with team members and stakeholders given the remote work setting?

Remote Junior Analytics Engineers often use a combination of collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello to communicate with data teams, software engineers, and business stakeholders. Regular virtual meetings, code reviews, and status updates help ensure alignment on project goals and data pipeline development. Building strong written communication skills is important, as much of the collaboration happens asynchronously. While remote work offers flexibility, proactively seeking feedback and clarifying expectations are key to success in this role.

What is a Remote Junior Analytics Engineer?

A Remote Junior Analytics Engineer is an entry-level professional who works from a remote location to support the design, development, and maintenance of data analytics systems. Their responsibilities typically include building data pipelines, transforming raw data into usable formats, and assisting with the creation of dashboards and reports for business insights. They often work closely with data analysts, data engineers, and business stakeholders to ensure data quality and accessibility. This role is ideal for individuals who have foundational knowledge in data modeling, SQL, and analytics tools and want to gain hands-on experience in the field while working remotely.

What is the difference between Remote Junior Analytics Engineer vs Remote Data Analyst?

AspectRemote Junior Analytics EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic SQL and programming skillsBachelor's in Statistics, Math, or related; proficiency in SQL and data visualization tools
Work EnvironmentCollaborates with engineering and data teams; focuses on data pipelines and analytics toolsWorks with business teams; analyzes data to generate reports and insights
Employer & Industry UsageTech companies, startups, data-driven organizationsFinance, marketing, healthcare, and retail sectors

Remote Junior Analytics Engineers typically focus on building data infrastructure and pipelines, requiring programming skills, while Data Analysts primarily interpret data to inform business decisions. Both roles often work remotely and require similar educational backgrounds, but their core responsibilities differ.

More about Remote Junior Analytics Engineer jobs
What cities are hiring for Remote Junior Analytics Engineer jobs? Cities with the most Remote Junior Analytics Engineer job openings:
What are the most commonly searched types of Remote Analytics Engineer jobs? The most popular types of Remote Analytics Engineer jobs are:
What states have the most Remote Junior Analytics Engineer jobs? States with the most job openings for Remote Junior Analytics Engineer jobs include:
Infographic showing various Remote Junior Analytics Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.
Analytics Engineer

Analytics Engineer

HelioCampus

Bethesda, MD โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago


Job description

Who We Are:
HelioCampus was founded with the purpose of helping college & university leaders navigate todayโ€™s growing pressures. As one of EdTechโ€™s most steadily growing companies, our roots in higher ed ground us in the critical nature of this work.

What We Do:
We help our clients navigate todayโ€™s high stakes with data and Institutional Performance Management practices. Together with our clients, we chart a path to sustainability by borrowing practices from the most successful businesses.

How We Do It:
We approach our work with a โ€œweโ€™re on itโ€ attitude that the higher ed community has come to know and expect from our team. Weโ€™re data geeks to our core, committed to simplifying the toughest challenges and operating with transparency. Our most successful team members are change agents who love a challenge.

How You'll Help:
As an Analytics Engineer, you will play a key role in transforming data into meaningful insights that drive institutional decision-making. Youโ€™ll partner with cross-functional teams to design scalable data solutions, improve data quality, and deliver impactful analytics to our clients.

What You Will Do:

  • Design and implement robust, scalable data pipelines to support analytics and reporting needs.

  • Build, maintain, and optimize ETL/ELT processes across cloud-based data platforms.

  • Develop and automate reporting solutions and interactive dashboards using modern BI tools.

  • Ensure data integrity, quality, and governance across multiple data sources.

  • Apply statistical and analytical techniques to generate actionable business insights.

  • Collaborate with engineers, analysts, and client stakeholders to translate business needs into technical solutions.

  • Lead smaller projects or own key components of larger initiatives.

  • Contribute to continuous improvement efforts, including performance tuning and process automation.

  • Mentor junior team members and support knowledge sharing across the team.

You Will Be a Good Fit For This Role If You Have:

  • 2โ€“4 years of experience in analytics engineering, data engineering, or a related field.

  • A bachelorโ€™s or masterโ€™s degree in computer science, data analytics, information systems, or a related discipline.

  • Strong programming skills in languages such as Python, SQL, Scala, or Java.

  • Experience working with relational and/or NoSQL databases.

  • Hands-on experience building and optimizing ETL/ELT pipelines.

  • Familiarity with big data technologies such as Apache Spark or Hadoop.

  • Experience with BI tools and building dashboards (e.g., Tableau, Power BI, Looker, etc.).

  • Strong problem-solving skills with the ability to work through moderately complex data challenges.

  • Excellent communication skills with the ability to translate technical concepts into business insights.

  • A collaborative mindset and growing ability to lead projects or mentor others.

Nice To Haveโ€™s Include:

  • Experience with cloud platforms such as AWS, Azure, or GCP.

  • Exposure to data warehousing concepts and modern data stack tools (e.g., dbt, Snowflake, Redshift, BigQuery).

  • Experience with real-time or stream-processing systems.

  • Background working with higher education data or in a consulting environment.

  • Familiarity with data governance and data modeling best practices.

Projects You Will Work On:

  • Designing and enhancing enterprise data models for higher education institutions.

  • Building scalable data pipelines for institutional performance metrics (enrollment, retention, finance, etc.).

  • Developing advanced dashboards and reporting tools for executive-level decision-making.

  • Implementing data quality frameworks and monitoring systems.

  • Supporting cloud data warehouse initiatives across platforms like AWS, Azure, or GCP.

Location:
HelioCampus has two locations, Bethesda, MD and Chapel Hill, NC. This specific role is primarily remote, with occasional travel to an office or client site.

Compensation and Benefits:
HelioCampus offers employees a competitive salary along with paid time off, healthcare, vision, dental, 401(k) w/ company match, parental leave, remote work flexibility, home office perks, and a fun, collaborative work environment.

What Sets Us Apart:

1. Commitment to Higher Education: We believe that serving higher ed makes the world a better place. This drives our desire to deliver high-quality products and services to help higher education institutions serve their students and communities.

2. Flexibility to Fit Your Life: HelioCampus employees enjoy the autonomy, freedom, and trust of a remote-first working environment. We embrace an โ€œon itโ€ mentality both in and out of the workplace, and employees are supported in pursuing personal and professional passions.

3. A Community of Bright Minds with Big Hearts: HelioCampus hires curious and talented practitioners who bring a diversity of thought and genuine care for one another and our clients to work every day. Our team members are more than a job description and are encouraged to show up as their full and authentic selves.

What We Believe:
HelioCampus is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

Disclaimer:
The list of responsibilities described above is not comprehensive. Other tasks not mentioned here may be required. Changing business conditions may trigger changes to job responsibilities. This job description is not an employment contract.

Physical Qualifications:

This position requires the following physical qualifications to support a productive remote work environment. We are dedicated to providing reasonable accommodations for individuals with disabilities to perform the essential functions of this role. If you require accommodations, please discuss this during the application process.

Vision: Sufficient visual acuity to read documents, view computer screens, and engage in tasks that require attention to detail.

Hearing: Ability to communicate effectively in person (as applicable) and via phone or video conferencing, ensuring clear understanding of verbal instructions.

Fine Motor Skills: Proficient use of hands for typing, using a mouse, and managing office equipment such as printers and scanners.

Lifting: Occasional lifting of up to 10 pounds (e.g., office supplies or equipment).