Data Analyst: Tableau BI Dashboards & Data Mapping

EPAM Systems Inc

United States

Remote

USD 70,000 - 100,000

Full time

2 days ago
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Job summary

EPAM Systems Inc is seeking a hands-on Data Analyst to develop and optimize BI reports and dashboards using Tableau, with a focus on data profiling, mapping, and iterative stakeholder feedback.

The role requires collaborating with data engineers to leverage Snowflake data models, refining reports to meet business requirements, and designing mockups to accelerate analytics development. Strong SQL, Python, and English (C1) are essential.

Qualifications

  • Minimum 2 years of hands-on data analytics experience.
  • Experience building data mappings to ensure accurate data flow between systems.
  • Proficiency in Python for data analysis and automation.
  • Strong SQL skills across multiple data sources.
  • Experience with Salesforce Tableau and Tableau Desktop to develop BI reports and dashboards.
  • Familiarity with Snowflake data models is a plus.
  • English level: upper-intermediate (C1).

Responsibilities

  • Create BI reports and dashboards with Tableau.
  • Collaborate with data engineers to apply data models in Snowflake.
  • Refine BI reports to meet business needs and drive insights.
  • Design mockups and wireframes for BI reports for stakeholder feedback.
  • Profile and map data to ensure accuracy across reporting.
  • Document opportunities to improve analytics and visualization methods.
  • Work with stakeholders to iterate BI solutions based on feedback.

Skills

Python
SQL
Tableau
Data mapping
Data profiling
English (C1)

Tools

Tableau Desktop
Tableau Prep
Snowflake
Salesforce Tableau

Job description

EPAM Systems Inc is seeking a hands-on Data Analyst to develop and optimize BI reports and dashboards using Tableau, with a focus on data profiling, mapping, and iterative stakeholder feedback.

The role requires collaborating with data engineers to leverage Snowflake data models, refining reports to meet business requirements, and designing mockups to accelerate analytics development. Strong SQL, Python, and English (C1) are essential.

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