Design and manage curated data products composed of fact and dimension tables optimized for reporting, analytics, and downstream analytical use cases.
Develop and maintain semantic and subject-area data models that support analytics self-service and consistent business definitions.
Partner with analytics and BI teams to understand reporting needs and translate them into scalable, reusable curated datasets.
Lead schema design, join logic, and standardization efforts to improve trust, consistency, and cross-domain usability of data.
Collaborate with data engineering teams on data transformations, modeling standards, and performance optimization.
Support future advanced analytics and ML use cases by ensuring curated datasets are well-structured, well-documented, and extensible.
Establish governance standards for curated datasets, including documentation, lineage, naming conventions, and data quality monitoring.
Track adoption and usage of curated data products, incorporating stakeholder feedback to iteratively improve models and definitions.

Requirements

Bachelor’s degree in Information Systems, Data Science, Computer Science, or a related field, preferred, or equivalent experience.
5+ years in data product, analytics infrastructure, or data modeling roles.
5+ years partnering with BI, analytics, and business stakeholders to gather requirements and deliver trusted data products.
Strong understanding of how curated data enables reporting, self-service analytics, and consistent decision-making.
3–5 years designing dimensional models, schemas, and semantic layers for analytics or reporting use cases.
General familiarity with how curated data may support future ML or advanced analytics use cases (e.g., feature readiness, aggregation strategies), without expectation of hands-on model development.
Advanced SQL skills and hands-on experience working with data marts, transformations, and analytical datasets.
Experience maintaining semantic definitions, data catalogs, and quality standards to ensure data is discoverable, explainable, and trustworthy.
Able to travel occasionally both domestically and internationally.

Benefits

Discretionary annual company bonus (Eligibility Varies by Role)
401(k) plan with 100% company match on the first 4%
Comprehensive medical coverage (HSA & FSA plans), dental, and vision insurance
Paid Time Off (Eligibility Varies by Role)
Employee Assistance Program (EAP)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data modelingSQLdata transformationsdimensional modelsschema designdata quality monitoringanalytics infrastructurecurated datasetsdata martssemantic layers

Soft Skills

collaborationstakeholder engagementcommunicationleadershipproblem-solvingadaptabilityfeedback incorporationtrust buildingorganizational skillsiterative improvement