Analytics Engineer (Tableau expert)

Analytics Engineer (Tableau expert)

Posted 4 days ago by Digitech Services

Negotiable
Undetermined
Remote
Remote

Summary: The role of a Mid-Level Analytics Engineer focuses on leveraging extensive Tableau expertise to create and optimize dashboards, with a significant portion of the workload dedicated to stakeholder collaboration. Candidates should possess a strong analytical background and experience in data modeling, with additional knowledge of tools like Snowflake and dbt being beneficial. The position is remote, with a preference for candidates in the PST, MST, or CST time zones. A minimum of 5 to 8 years of relevant experience is required.

Key Responsibilities:

  • Create and edit Tableau dashboards, including calculated fields and data source connections.
  • Optimize performance of Tableau dashboards.
  • Collaborate directly with stakeholders to define and iterate on dashboard requirements.
  • Demonstrate mastery of Tableau as a primary tool for analytics.

Key Skills:

  • 5 - 8 years of experience in analytics engineering.
  • Expertise in Tableau, including dashboard creation and editing.
  • Strong analytical skills with a focus on business-facing analysis.
  • Knowledge of Snowflake and dbt is a plus.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: Mid-Level

Industry: IT

Detailed Description From Employer:

Role: Mid-Level Analytics Engineer
5 - 8 years' experience
Remote: PST / MST / CST time zone preferred

Solid Tableau experience - feedback from client: I want to see heavy evidence of Tableau use and mastery as that will be 80% of the workload specifically Tableau dashboard creation and editing, calculated fields, data source connections, performance optimization, and working directly with stakeholders to define and iterate on what they need to see in their dashboards. A strong AE candidate's resume should read like a business-facing analyst who is a Tableau expert and knows how to model data not a pipeline engineer who happens to have used Tableau once.
Knowledge of snowflake, dbt, etc, but Tableau is the main litmus test.