Job Description
Compensation:
$40/hr to $60/hr. - Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
Day to Day Responsibilities
Design, build, and maintain semantic and metrics layers that support reporting, analytics, and downstream consumption
Develop and manage dimensional data models (star and snowflake schemas) to enable consistent, performant analytics
Translate business logic and metric definitions into reusable, governed data models and curated datasets
Partner closely with analytics, reporting, and engineering teams to ensure data consistency and metric alignment across tools
Support consumption layers used by:
BI dashboards and reporting
Drill‑down analytics
Finance and operational use cases
Help standardize and scale a centralized semantic layer that enables consistent definitions across the organization
Maintain documentation for metrics, models, and semantic definitions to support governance and reuse
Contribute to core SQL‑based data engineering work when needed (modeling, transformations, optimization)
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Strong SQL data engineering background
Proven experience with dimensional modeling:
Star schemas
Snowflake schemas
Hands‑on experience designing and supporting semantic or metrics layers
Ability to translate complex business rules into clean, reusable data models
Solid understanding of:
Metric consistency
Data definitions
Governance across reporting layers
Experience supporting analytics and reporting use cases, not just raw data pipelines
Strong communication skills — able to partner with business and technical stakeholders to clarify metric intent
Nice to Have Skills & Experience
Experience with BI semantic layer tools (e.g., AtScale or similar technologies)
Prior work on enterprise‑wide metric standardization initiatives
Experience supporting finance or operational reporting use cases
Familiarity with data governance frameworks and best practices
Background working in large, complex data environments with multiple downstream consumers
Experience enabling self‑service analytics through well‑designed semantic layers
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.