Data Analyst (Dashboard Developer)

Guidehouse•Fort Lauderdale, FL

6d•$68,000 - $113,000

About The Position

Guidehouse’s AI & Data team helps clients maximize the value of their data and automate business processes through services spanning data querying and wrangling, data engineering, visualization, dashboarding, business intelligence, and predictive analytics. This role supports organizational and mission goals within the Federal Government and requires hands-on technical expertise and strong communication skills. The analyst will develop and maintain Tableau dashboards and analytics solutions, support data cleaning and transformation, and work with stakeholders to translate business needs into scalable analytics and data science solutions. The role also includes client service, business development, internal firm initiatives, and ongoing professional development.

Requirements

Must be able to obtain and maintain a Federal or DoD Public Trust.
Bachelor’s degree and at least one year of experience in business analytics, data analysis, data engineering, data visualization, or data science; or a master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Analytics, or a related STEM field.

Nice To Haves

Strong communication and presentation skills, including the ability to explain technical topics to non-technical audiences.
Ability to gather requirements and present to clients, with strong written and verbal communication skills.
Familiarity with dashboard tools such as Tableau or Power BI.
Familiarity with cloud-based analytics environments such as Databricks, Snowflake, or Impala.
Experience performing analytics and data transformation using SQL, Python, and R.
Knowledge of ETL processes and tools for data integration.

Responsibilities

Design and develop data visualization and dashboard solutions using Tableau to provide required analytics insights.
Lead and review data cleaning scripts using tools such as Databricks, SQL, and Python.
Maintain and enhance dashboards, analytics solutions, and reporting tools used in operational and strategic decision-making.
Identify opportunities for workflow optimization, automation, and improved data handling, and contribute to implementation efforts.
Partner with stakeholders to define and deliver AI and analytics use cases, translating business needs into scalable data science solutions.
Support client services, business development activities such as RFP, RFQ, and RFI responses and white papers, internal firm initiatives, and ongoing professional development.