Tableau Dashboard Developer & Data Visualization Analyst

Guidehouse Inc.; United States; On-site; USD 68,000 - 113,000; Full time

Benefits offered by this job

Medical, Rx, Dental & Vision Insurance

Parental Leave and Adoption Assistance

401(k) Retirement Plan

Tuition Reimbursement, Learning opps

Job summary

Guidehouse is seeking a Data Science Consultant to join the AI & Data team in the United States. You will work with clients to maximize data value, build dashboards, and deliver analytics solutions across the full data lifecycle.

The role requires hands-on expertise in data visualization, data engineering, and BI, with experience in Tableau, Databricks, SQL, Python, and R. Strong communication and collaboration with stakeholders are essential.

Qualifications

• Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"
• Bachelor's degree with at least 1 year of analytics/data engineering experience or a Master's in a related STEM field
• Strong communication and ability to translate business needs into analytics use cases

Responsibilities

• Design and develop data visualization and dashboard solutions using Tableau.
• Lead and review data cleaning scripts with SQL, Python, and Databricks.
• Maintain and enhance dashboards and BI reports for operational and strategic decisions.
• Identify opportunities for automation and improved data handling across projects.
• Partner with stakeholders to define AI/analytics use cases and deliver scalable data science solutions.

Skills

Data visualization

Dashboarding

Business intelligence

Data wrangling

Communication skills

Education

Bachelor's degree + 1 year experience in related field

Master's degree in Data Science/CS/Statistics/Math/Engineering/Analytics

Tools

Tableau

Databricks

SQL

Python

R

Power BI

Snowflake

Impala

Job description

Guidehouse is seeking a Data Science Consultant to join the AI & Data team in the United States. You will work with clients to maximize data value, build dashboards, and deliver analytics solutions across the full data lifecycle.

The role requires hands-on expertise in data visualization, data engineering, and BI, with experience in Tableau, Databricks, SQL, Python, and R. Strong communication and collaboration with stakeholders are essential.