Risepoint
Risepoint
1,001 – 5,000 Employees
ConsultingEducationMarketing
Risepoint is an education technology company that helps regional public and private universities build and expand workforce-focused online degree programs. Its work combines education consulting, marketing, student and faculty support, technology implementation, performance monitoring, and research into student return on investment. By partnering with higher education institutions, Risepoint supports broader access to online learning and programs designed for working adults.

Analytics Engineering Co-Op — Risepoint, Remote

Build governed Databricks models and Power BI data products for Risepoint’s university online-program analytics. Support semantic-layer development and data-quality improvements for the Student Success Center.

Description

  • Build Databricks models that consolidate dispersed logic into a reliable source for Student Success Center reporting and analysis
  • Align semantic-layer components and metric definitions across reports, dashboards, and leadership presentations
  • Strengthen transformation-layer data quality with validation, freshness, and reconciliation checks
  • Work with Business Technology on upstream sources, pipeline updates, and data governance
  • Convert business needs into technically sound solutions and explain technical options to operational stakeholders
  • Replace a recurring manual report with a self-maintaining, modeled Power BI data product and quantify the time saved
  • Maintain documentation covering data lineage, definitions, rationale, and existing deliverables
  • Collaborate with Student Success Center stakeholders to improve workflows and enable programmatic analytics solutions
  • Help develop standardized semantic-layer components and operational metrics
  • Track adoption, hours returned, and enhancements to the Databricks environment

Requirements

  • Working knowledge of SQL, including joins, aggregations, query debugging, and resolving data issues in queries, notebooks, and jobs
  • Practical Python experience, including the ability to navigate existing scripts and workflows and implement solutions with AI assistance
  • Foundational understanding of database concepts such as keys, grain, and normalization
  • Sound analytical judgment developed in a real-world business environment
  • Experience working through ambiguity to produce measurable stakeholder outcomes
  • Strong written and verbal communication skills with technical and non-technical audiences
  • Previous experience collaborating in a data engineering or analytics environment
  • Familiarity with Databricks, Snowflake, or another cloud data platform
  • Confidence creating technical documentation and managing projects within an engineering framework
  • Knowledge of data transformation tools and comfort using AI tools in analytics workflows
  • Availability to work full time, 40 hours per week, Monday through Friday
  • Ability to participate in a January 2027 through June 2027 co-op, with flexibility for academic schedules

Benefits

  • Full-time co-op placement working 40 hours per week, Monday through Friday
  • Hands-on experience in a real-world work environment
  • The opportunity to make a meaningful impact on strategy and business outcomes
  • Scope to propose and test improved approaches
  • Equal-opportunity employment within a diverse and inclusive workforce

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