Tableau Developer

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6 Month(s)

Skills

Tableau Developer
Business Intelligence
data warehousing
software development
design patterns
data structures

Job Details

Job Title: Tableau Developer

Contract Start & End Date: ASAP 6/30/2026

Onsite or remote: Hybrid Role (3 days Onsite, 2 days Remote)

Worksite address: Trenton, NJ

*Hands on expertise with Tableau, ETL, Data warehousing, and BI concepts. Proven ability to visualize complex data in a clear way.

Job Description
We are seeking a talented Business Intelligence Developer to join our team in a hybrid capacity, working onsite for three days and remotely for two days each week. This full-time role involves gathering business requirements, designing, building, and deploying BI solutions using Tableau. The location is a mix of onsite and remote work.

What You'll Do

Collaborate with project stakeholders to understand and gather business requirements
Design, develop, test, and deploy robust Tableau dashboards and reports that align with business requirements and provide actionable insights
Research and recommend innovative BI solutions and visualization methods to improve the project's data-driven decision-making process
Evaluate predictive analytics models to forecast future scenarios and inform strategic planning
Communicate findings and insights to stakeholders through clear, understandable presentations
Ensure data quality and integrity in dashboards and reports
Conduct training sessions to educate end-users on how to use BI tools and dashboards effectively
Continually refine and iterate BI strategy based on evolving project needs

What You'll Need
Bachelor s degree in Computer Science or equivalent combination of technical education and work experience
Deep hands-on technical expertise
Solid software development background including design patterns, data structures, test-driven development
Excellent verbal and written communication skills
Experience with ETL, data warehousing, and Business Intelligence concepts
Proven ability to visualize complex data in a clear and compelling way
Understanding of predictive analytics

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