Analytics Engineer

Role Description

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

• 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.

Qualifications

• 2–4 years of experience in analytics engineering, data engineering, or a related field.
• A bachelor’s or master’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.

Requirements

• 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

• Competitive salary
• Paid time off
• Healthcare, vision, dental
• 401(k) w/ company match
• Parental leave
• Remote work flexibility
• Home office perks
• Fun, collaborative work environment

What Sets Us Apart

• Commitment to Higher Education: We believe that serving higher ed makes the world a better place.
• Flexibility to Fit Your Life: HelioCampus employees enjoy the autonomy, freedom, and trust of a remote-first working environment.
• 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.

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.

Physical Qualifications

• 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.
• 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).