Senior Analytics Engineer
Share
Job Location:
Dallas, IA - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Were looking for a Senior Analytics Engineer who thrives at the intersection of business logic and scalable data modeling.
In this role you wont just transform data youll define how the business understands it.
Youll partner with stakeholders data engineers and BI teams to build clean trusted analysis-ready data assets in Snowflake using dbt and SQL. Youll apply dimensional modeling best practices clarify ambiguous requirements and create reusable data models that scale with the business.
This is a high-autonomy role for someone who wants to own analytical domains end-to-end and influence how data is structured across the organization.
NOTE This role is hybrid to our Dallas TX location and will require being on-site at our office 3 days a week.
What You Will Do
- Lead the design and development of scalable analytical data models in Snowflake
- Build clean well-documented datasets using dbt SQL and Python
- Translate complex business processes into intuitive data structures
- Implement business logic derived metrics and reusable domain data marts
- Establish and evolve data quality standards
- Apply dimensional modeling best practices for usability and performance
- Operate independently from requirements through delivery
- Mentor and guide analytics engineers and analysts
What You Bring
- 7 years in analytics engineering data modeling or transformation work
- Advanced SQL skills and hands-on dbt experience
- Strong understanding of dimensional modeling
- Experience owning analytical domains end-to-end
- Ability to navigate ambiguity and clarify business requirements
- Experience mentoring others
- Experience with Snowflake or modern cloud data warehouses
Why This Role Is Exciting
- High impact business-facing ownership
- Complex modeling challenges
- Clear influence over data standards
- Strategic partner to both technical and business teams
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
Key Skills
- Adobe Analytics
- Data Analytics
- SQL
- Attribution Modeling
- Power BI
- R
- Regression Analysis
- Data Visualization
- Tableau
- Data Mining
- SAS
- Analytics
About Company
Control spend your expense management and corporate travel management with Emburse. Select the best expense management software for your business or organization from our list of award-winning products and software.
