Analytics Engineer

🕒 April 15

🌲 North Carolina, Maryland – Remote

🌲 North Carolina – Remote 🦀 Maryland – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

📊 Analytics Engineer

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HelioCampus

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

📚 Education

🤖 Artificial Intelligence

💰 $10M Seed Round on 2015-12

Education • Artificial Intelligence • Data Analytics

HelioCampus is a company that partners with higher education institutions to enhance institutional effectiveness through data analytics, financial intelligence, and assessment platforms. They offer a comprehensive analytics platform to accelerate decision-making, drive administrative efficiency and sustainability, and improve student learning outcomes. With AI-ready data analytics and financial intelligence tools, HelioCampus helps institutions navigate today’s challenges by optimizing data infrastructure, implementing AI-powered models, and automating workflows. Their services include academic performance management, financial modeling, labor cost benchmarking, and accreditation planning, supporting over 150 educational institutions in achieving continuous improvement and strategic planning.

📋 Description

• Play a key role in transforming data into meaningful insights that drive institutional decision-making. • Partner with cross-functional teams to design scalable data solutions, improve data quality, and deliver impactful analytics. • 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.

🎯 Requirements

• 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.

🏖️ Benefits

• paid time off • healthcare • vision • dental • 401(k) w/ company match • parental leave • remote work flexibility • home office perks • fun, collaborative work environment