Data Analytics Consultant — Tableau & AI Use Cases

Guidehouse Inc.; United States; On-site; USD 92,000 - 153,000; Full time

Benefits offered by this job

Medical insurance

Retirement plan

Paid holidays

Discretionary bonus

Tuition reimbursement

Mobility stipend

Job summary

Guidehouse is seeking a data visualization and analytics professional to design and develop Tableau dashboards and analytics solutions for operational and strategic decision support.

Lead data cleaning with Databricks, SQL, and Python; optimize workflows; partner with stakeholders to translate business needs into scalable AI/analytics solutions. Role supports business development and internal initiatives while maintaining client service focus.

Qualifications

• Minimum of 3 years of professional experience.
• Knowledge of ETL processes and data integration tools.
• US citizenship is contractually required.
• Willing to undergo a federal background check.

Responsibilities

• Design and development of data visualization and dashboard solutions using Tableau to provide analytics insights.
• Lead and review data cleaning scripts using Databricks, SQL, and Python.
• Maintain and enhance dashboards, analytics solutions, and reporting tools for operational and strategic decisions.
• Identify opportunities for workflow optimization, automation, and improved data handling.
• Partner with stakeholders to define and deliver AI/analytics use cases translating business needs into scalable solutions.
• Support business development and internal firm initiatives including RFP/RFQ/RFI responses and white papers.

Skills

Tableau

Databricks

SQL

Python

R

Communication skills

Consulting delivery

Education

Bachelor's or Master's in Data Science/CS/Statistics/Engineering

Tools

Databricks platform

BI dashboards

Tableau dashboards

Job description

Guidehouse is seeking a data visualization and analytics professional to design and develop Tableau dashboards and analytics solutions for operational and strategic decision support.

Lead data cleaning with Databricks, SQL, and Python; optimize workflows; partner with stakeholders to translate business needs into scalable AI/analytics solutions. Role supports business development and internal initiatives while maintaining client service focus.