Job Overview

ExploreLearning seeks an experienced Analytics Engineer to join a recently formed centralized data team. Our group's primary goal is to enhance organizational and operational efficiency by leveraging data. As a small team, we seek a well-rounded data professional with excellent technical, communication, and collaboration skills. The successful candidate can both build data models to support our core operations and work cross-functionally with key internal stakeholders to address their pain points with end-to-end data solutions.

This role has high visibility, reporting directly to the Head of Data and Analytics, who reports to the President. We focus on impact, not satisfying idle curiosities. You will partner with high-level personnel in other verticals to vastly improve the context for entire teams.

Job Responsibilities

• Build and own optimal data pipelines delivering well-defined, tested, documented, and code-reviewed shared data sets to support analysis, reporting, and mathematical modeling

• Proactively identify operational pain points and inefficiencies with cross-functional partners and develop new tools or automated process to solve them

• Collaborate with key stakeholders across business verticals to build dashboards and other BI tooling that deliver insights and enable self-service

• Curate data infrastructure to comply with data privacy, security, and governance requirements

• Conduct root cause analysis

• Create data dictionaries that promote shared understanding, accessibility, and operational efficiency

• Build ingestion infrastructure using ETL/ELT tooling (e.g., Fivetran, Xplenty)

Job Requirements

• 3+ yrs. working as an Analytics Engineer, Data Analyst, or Data Engineer

• Fluency in SQL

• Proven background collaborating with cross-functional stakeholders and implementing end-to-end data solutions that help them do their jobs

• Experience building data models to be consumed by Analysts, Data Scientists, and BI technology (e.g., Power BI, Tableau, Excel, Looker)

• 1+ yrs. working in a cloud data warehouse (Preferred: snowflake)

• Understanding of data warehouse practices and concepts

• Strong communication and collaboration skills

• Experience with business analytics tools such as Tableau, Hex, Mode, DeepNote, Domo, Data studio, and Looker

• Solid command of DBT

• Substantial experience working with Marketing (e.g., on data capture, opportunity attribution, and CAQ estimation)

• Command of Airflow and Docker to build and orchestrate ingestion ETLs from scratch

• Experience in a role regularly requiring ROI/Impact estimation

• Substantial experience working with unstructured data or semi-structured data (JSON, XML)

• Ability to analyze data using statistical methods, interprets results, and provide written and graphical summaries of data analyses

• General purpose object-oriented programming skills (Python, C#, Java), beyond ETLs

Why Work With Us?

In addition to competitive salaries and generous benefits, ExploreLearning offers an exciting and dynamic working environment in which creativity, teamwork and professional growth are valued and rewarded. Our award-winning online programs bring engaging and effective instructional strategies to K-12 classrooms around the world. Over the course of the last 20+ years, we’ve received numerous awards from some of the worlds most respected education organizations, and were recently named one of the Best Places to Work in Virginia.

Our office is based in historic downtown Charlottesville, Virginia, located approximately 100 miles southwest of Washington, D.C., and consistently rated one of America’s best places to live. The area offers a wide variety of business, cultural, historical, educational and sport-related attractions.

To learn more about our organization and the exciting work we do, visit us online.

An Equal Opportunity Employer

We are dedicated to fostering a culture that celebrates unique backgrounds, ideas, and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, age, religion, sex, gender, gender identity/expression, sexual orientation, national origin, protected veteran status, or disability.