Design, build, and optimize advanced Tableau dashboards, workbooks, and data products for high-performance analytics.
Define Tableau visualization standards, style guides, and reusable templates.
Design, optimize, and manage data pipelines essential for supporting reporting solutions.
Implement dashboard performance tuning, extract optimization, and best practices for Hyper.
Work closely with Product, Engineering, Data Engineering, and Business teams to understand requirements and deliver scalable solutions.
Conduct design reviews, code reviews, and architecture assessments to ensure high-quality deliverables.
Support a variety of business-aligned projects to meet organizational objectives.
Establish yourself as the go-to technical expert on the reporting components of our product suite.
Explore opportunities to enhance workflows through AI or automation tools (e.g., document summarization, task routing, or data parsing).
Identify repetitive tasks and partner with team leads to implement scalable automation solutions.

7+ years of professional experience in Analytics Engineering, Data Engineering, and related roles.
A bachelor's degree in a quantitative or technical field, such as mathematics, economics, computer science, or statistics is required; an advanced degree is a plus.
Expert-level proficiency in Tableau (dashboard creation, data source optimization, calculations, performance tuning).
Advanced SQL skills and hands-on experience with Amazon Redshift (or similar MPP databases).
Experience with ETL/ELT development and data transformation workflows.
Experience with Python, dbt, or other ETL automation/orchestration tools.
Experience working in cloud-based data ecosystems, preferably with AWS.
Strong analytical and problem-solving skills, with sound judgment and creativity in designing solutions.
Strong communication skills, with experience influencing technical and non-technical stakeholders.
Comfort using or learning AI-supported tools (e.g., ChatGPT, CoPilot, or role-specific tools) to improve daily workflows.
A forward-thinking, curious mindset with an openness to experimenting with new technologies.
Proven ability to thrive in fast-paced, high-growth, and rapidly evolving environments.
Ability to work effectively in a remote-first environment, ensuring high-quality virtual interactions with minimal distractions.
The ability to travel periodically for work.

Staff Analytics Engineer

Key skills