Tableau Visualization Engineer

Capgemini; New York (NY); Hybrid; USD 85,000 - 95,000; Full time

Benefits offered by this job

401(k) matching

Healthcare benefits

Paid time off

Job summary

Capgemini is seeking a data analytics professional to transform complex data into compelling visual stories and actionable dashboards. The role involves building intuitive dashboards, collaborating with stakeholders, and delivering data solutions that drive business decisions.

The candidate should have strong Tableau, SQL, Python skills, experience with ETL/ELT, and familiarity with Oracle/Hadoop environments. Excellent communication is essential.

Qualifications

• Ability to transform complex data into compelling narratives.
• Strong proficiency in Tableau, SQL, and Python, with ETL/ELT and job scheduling knowledge.
• Experience designing, developing, and deploying analytical dashboards and reporting solutions.
• Experience with Oracle and Hadoop, and SQL/NoSQL technologies.
• Demonstrated adaptability, creativity, resourcefulness, organization, and collaboration in cross-functional teams.
• Strong foundation in Data Science and Machine Learning, with EDA experience.
• Excellent verbal and written communication skills, with ability to explain technical concepts clearly.

Responsibilities

• Data Analysis & Visualization: translate data into intuitive visuals for stakeholders.
• Dashboard Creation: design dashboards that aggregate key metrics for decision making.
• Collaboration & Communication: gather requirements and align with teams to tailor data solutions.

Skills

Data storytelling

Collaboration

Cross-functional communication

Analytical thinking

Adaptability

ML concepts

Verbal/written communication

Tools

Tableau

SQL

Python

ETL/ELT

Job scheduling tools

Oracle

Hadoop

NoSQL

Job description

Capgemini is seeking a data analytics professional to transform complex data into compelling visual stories and actionable dashboards. The role involves building intuitive dashboards, collaborating with stakeholders, and delivering data solutions that drive business decisions.

The candidate should have strong Tableau, SQL, Python skills, experience with ETL/ELT, and familiarity with Oracle/Hadoop environments. Excellent communication is essential.