Note: The job is a remote job and is open to candidates in USA. Great Minds is a mission-driven education organization that develops research-based curricula and tools for schools and educators. The Senior Analyst, Enterprise Analytics leads complex analytics initiatives, develops reusable data models and reporting frameworks, and provides strategic insights to senior stakeholders while mentoring analysts and enabling self-service analytics users.
Responsibilities
- Partner with senior leadership to frame ambiguous business problems, shape the analytical approach, and deliver solutions that hold up under real decision-making pressure — including knowing when the right call is not to build something
- Resolve conflicting metric definitions across departments and help establish shared business semantics that leadership can trust
- Design and own semantic models and reporting frameworks that serve multiple departments at once, balancing performance, reusability, and governance rather than optimizing for a single team's request
- Pull together information from systems that were never designed to talk to each other — CRM, ERP, marketing platforms, ad hoc files — and turn it into something durable rather than a one-off answer
- Architect and maintain enterprise-level dashboards where long-term accuracy and maintainability matter as much as the initial insight
- Document the reasoning behind analyses and metric logic well enough that someone else could pick up the work a year later
- Set standards for how analytics work gets built and reused, raising the bar across the organization rather than just within this role
- Mentor analysts and enable self-service users to build sound data products on their own
Skills
- 4+ years of experience in analytics, analytics engineering, or data-focused roles, with real accountability for analytics deliverables from framing through delivery — not just executing tickets
- Advanced, hands-on fluency with a cloud data warehouse (Snowflake, Databricks, BigQuery, or similar), including complex query work and performance tuning, running on a cloud platform — Azure preferred, AWS also relevant
- Comfort using code, not just point-and-click tools, to manipulate, analyze, and visualize data (Python)
- Real experience designing and maintaining a semantic model or metric layer that had to serve more than one audience with different — sometimes conflicting — needs, including dimensional modeling concepts like star schemas and slowly changing dimensions
- Experience bringing basic software engineering discipline (version control, code review, modular and documented work) to analytics, which is too often treated casually
- Experience reconciling messy, overlapping systems of record such as CRM, ERP, and marketing platforms
- Experience building validation checks after having been burned by a silent data quality failure before
- A track record of turning a vague ask from a senior stakeholder into a scoped project, and communicating results in terms that land with that audience
- Experience mentoring others or setting standards that outlasted your own involvement
- Bachelor's degree in Analytics, Data Science, Business, or a related quantitative discipline
- Interest in K-12 public education and how data moves from a district leader's dashboard down to a classroom-level decision
- Exposure to AWS as a secondary cloud environment alongside Azure
- Familiarity with advanced analytics techniques such as forecasting, segmentation, or scenario modeling
- Familiarity with data modeling and pipeline concepts (star/snowflake schema, entity-relationship modeling, ETL/ELT)
- Experience helping stand up or mature an analytics function, rather than only working within an established one
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