Analytics Engineering Co-Op

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

⚪️ Entry-level

📊 Analytics Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Risepoint

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

💼 Consulting

📣 Marketing

📚 Education

Consulting • Marketing • Education

Risepoint is an education technology company that partners with regional public and private universities to design, launch, and grow workforce-focused online degree programs. It provides marketing, student support, faculty support, technology implementations, performance monitoring, and student ROI research to help institutions expand access, increase enrollments, and deliver high-return programs for working adults.

📋 Description

• Design and build Databricks data models consolidating scattered logic into a source of truth for Student Success Center reporting and analysis • Standardize semantic layer components and metric definitions across reports, dashboards, and leadership decks • Improve transformation-layer data quality through validation, freshness, and reconciliation checks • Partner with Business Technology on upstream data sources, pipeline changes, and governance • Translate business needs into technically sound solutions and communicate technical possibilities to operators • Turn a recurring manual report into a self-maintaining modeled Power BI data product and quantify time savings • Document data lineage, definitions, reasoning, and existing deliverables • Coordinate with Student Success Center stakeholders to enable better workflows and programmatic analytics solutions • Contribute to standardized semantic layer components and operational metrics • Measure adoption, hours returned, and improvements to the Databricks environment

🎯 Requirements

• Working SQL ability, including joins, aggregations, query debugging, and resolving data issues within queries, notebooks, and jobs • Functional Python experience; ability to navigate existing scripts and workflows and implement solutions with the help of AI • Foundational database management concepts, including keys, grains, and normalization • Strong analytical judgment and experience in a real-world business setting • Demonstrated experience working with ambiguity to drive measurable stakeholder outcomes • Strong verbal and written communication skills across technical and non-technical stakeholder cohorts • Prior experience in a data engineering and/or analytics environment alongside others • Databricks, Snowflake, or other cloud data platform knowledge and experience • Confidence with technical documentation and project management within an engineering framework • Knowledge of data transformation tools and confidence with AI tooling in an analytics workflow • Full-time availability, 40 hours per week, Monday through Friday • Ability to participate in a co-op running January 2027 through June 2027, with flexibility for academic schedules

🏖️ Benefits

• Full-time co-op experience, 40 hours per week, Monday through Friday • Opportunity for hands-on, real-world exposure • Opportunity to make material impact on strategy and business outcomes • Room to recommend and try better approaches • Equal opportunity employer supporting a diverse and inclusive workforce