Senior Tableau Engineer at Epam Systems
Remote, British Columbia, Canada -
Full Time


Start Date

Immediate

Expiry Date

08 May, 25

Salary

0.0

Posted On

08 Feb, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Analytical Solutions, R, Python, Analytics, Metric Development, Stakeholder Management, Data Visualization, Confluence, Jira, Data Engineering, Sql

Industry

Information Technology/IT

Description

If you are an experienced Data Analytics Engineer looking for a high-impact role, EPAM is the perfect next step in your career! As an EPAMer, you’ll have the opportunity to work with a supportive team, on a variety of interesting projects for some of the biggest brands in the world. Are you ready for the next step in your career journey? Apply now!
Req.#725128741

REQUIREMENTS

  • Extensive experience working with Data Engineering & Analytics
  • Expert in Tableau Development
  • Strong understanding of data visualization, data distributions, and aggregation methods
  • Familiar with operational metric development and ongoing OKR measurement
  • Proficiency with SQL, Redash, R, Python, Confluence, and Jira
  • Hands-on experience building analytical solutions and using data to influence business and operational teams
  • Ability to produce clean, clear data visualizations that power decisions for senior stakeholders
  • Exposure to Databricks
  • Comfortable with stakeholder management
Responsibilities
  • Create and adjust financial reports using Tableau
  • Provide technical expertise in data visualization and operational insights via analytics
  • Work with cross-functional teams to drive improvement and efficiency in a rapidly scaling customer support environment, bringing analytic capabilities and insight
  • Address business challenges, performance bottlenecks, and growth opportunities with analytical solutions
  • Measure new strategies or initiatives keeping in mind actionable insights and business impact
  • Collaborate with data scientists to advance core data artifacts to the next level both aesthetically and operationally
  • Develop partnerships with business and operations leaders and help them strategize, understand, visualize, and measure data-driven initiatives
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