Analytics Engineer II - Data Modeling & BI Enablement

SWBC

Shavano Park (TX)

On-site

USD 105,000 - 145,000

Full time

9 days ago
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Benefits offered by this job

Competitive compensation
Work/Life balance
Career growth opportunities
401(k) retirement plans
Wellness program

Job summary

SWBC is seeking a data-focused professional to work with Data Scientists, Data Engineers, and Data Analysts to deliver data-driven solutions that impact business decisions and overall data strategy.

You will leverage Snowflake, dbt, and Omni to develop consumption and semantic models, manage pipelines, and optimize SQL/Python for faster insights and self-service BI. Collaboration with stakeholders is essential for KPI-driven outcomes.

Qualifications

  • Bachelor's degree in a data-related field or equivalent experience.
  • Minimum of three years in data model development and best practices across various engineering tools.
  • Proven ability to communicate analyses to both technical and non-technical leadership.

Responsibilities

  • Collaborate with Data Scientists, Data Engineers and Data Analysts to deliver data-driven solutions.
  • Develop consumption and semantic models to support self-service BI and analytics.
  • Manage and optimize dbt pipelines and SQL/Python scripts for performance and speed to insight.
  • Define and measure KPIs with business stakeholders.
  • Ensure data stack reliability, cost efficiency, and governance as we scale.

Skills

Python
SQL
Jinja
Data modeling
Snowflake
dbt
Omni
AWS

Education

Bachelor's Degree in Data Science / Data Analytics / Software Engineering / CS

Tools

Snowflake
dbt
Omni
AWS

Job description

SWBC is seeking a data-focused professional to work with Data Scientists, Data Engineers, and Data Analysts to deliver data-driven solutions that impact business decisions and overall data strategy.

You will leverage Snowflake, dbt, and Omni to develop consumption and semantic models, manage pipelines, and optimize SQL/Python for faster insights and self-service BI. Collaboration with stakeholders is essential for KPI-driven outcomes.

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