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Remote Entry Level Analytics Engineer Jobs (NOW HIRING)

As an Analytics Engineer, you will play a key role in transforming data into meaningful insights ... This specific role is primarily remote, with occasional travel to an office or client site.

As an Analytics Engineer, you will play a key role in transforming data into meaningful insights ... This specific role is primarily remote, with occasional travel to an office or client site.

Enterprise Performance Analytics Engineer

OR ยท Remote

$80K - $110K/yr

How This Role Makes a Difference The Enterprise Performance Analytics Engineer will support the ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

How This Role Makes a Difference The Enterprise Performance Analytics Engineer will support the ... Remote within the United States. This role requires 100% of work to be performed in a remote office ...

CSR Entry-Level Remote

Seattle, WA ยท On-site +1

$100K/yr

We are hiring Remote Entry-Level Managing Agents for a full-time, fully remote role that allows you ... Analyze members' financial situations and explain the advantages of additional benefits products ...

Engineer, Analytics

$84K - $144K/yr

The Analytics Engineer plays a critical role in transforming curated data into clear, consistent ... This is a remote position; however, candidates must be willing and able to travel to and work ...

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Remote Entry Level Analytics Engineer information

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$30K

$69.4K

$118K

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

As of Jun 26, 2026, the average yearly pay for remote entry level analytics engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote entry level analytics engineers, and how can they be addressed?

Remote entry level analytics engineers often face challenges such as learning new data tools independently, managing time across multiple projects, and staying connected with their team. To address these, it's helpful to proactively seek mentorship, participate in regular virtual meetings, and use collaboration platforms to communicate frequently. Establishing a structured daily routine and leveraging online resources can also aid in skill development and task management.

What is a Remote Entry Level Analytics Engineer?

A Remote Entry Level Analytics Engineer is a professional who works from a remote location to help organizations collect, organize, and analyze data. They typically assist in building and maintaining data pipelines, transforming raw data into usable formats, and ensuring data quality for reporting and analytics. Entry level positions are designed for those who are new to the field and may have recently completed relevant education or training. These roles often involve learning on the job, collaborating with data scientists and engineers, and using tools like SQL, Python, and data warehousing platforms. Remote roles offer flexibility to work from anywhere while contributing to data-driven decision-making.

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

AspectRemote Entry Level Analytics EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic knowledge of SQL, Python, or RBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, project-based tasks, technical focusData interpretation, reporting, business insights
Employer & Industry UsageTech companies, startups, finance, healthcareMarketing firms, consulting, finance, retail

While both roles involve working with data, Remote Entry Level Analytics Engineers focus on building data pipelines and models, whereas Remote Data Analysts primarily interpret data and generate reports. The roles often overlap in skills like SQL and basic programming, but differ in technical depth and focus areas.

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

To thrive as a Remote Entry Level Analytics Engineer, you need a solid understanding of data analysis, SQL, and basic programming skills, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data warehousing tools (such as Snowflake or BigQuery), version control systems like Git, and analytics platforms like dbt is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication are crucial soft skills for success in this role. These skills ensure accurate data modeling, effective collaboration across distributed teams, and the delivery of actionable business insights.
More about Remote Entry Level Analytics Engineer jobs
What cities are hiring for Remote Entry Level Analytics Engineer jobs? Cities with the most Remote Entry Level 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 Entry Level Analytics Engineer jobs? States with the most job openings for Remote Entry Level Analytics Engineer jobs include:
Analytics Engineer

Analytics Engineer

HelioCampus

Bethesda, MD โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 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).