Asks for

The ad says“ONE (1) o more years of experience performing data analysis, statistical modeling, business intelligence, data visualization, or related analytics work.”
The ad says“ONE (1) o more years of experience performing data analysis, statistical modeling, business intelligence, data visualization, or related analytics work.”
The ad says“Understanding of statistical analysis, predictive analytics, data modeling techniques, and data management best practices.”
The ad says“Understanding of statistical analysis, predictive analytics, data modeling techniques, and data management best practices.”
The ad says“ONE (1) o more years of experience performing data analysis, statistical modeling, business intelligence, data visualization, or related analytics work.”
The ad says“Experience using data analytics and visualization tools such as Power BI, Tableau, Qlik, Jupiter Notebook, Databricks, Python, R, SQL, or similar technologies.”
The ad says“Experience using data analytics and visualization tools such as Power BI, Tableau, Qlik, Jupiter Notebook, Databricks, Python, R, SQL, or similar technologies.”
The ad says“Experience using data analytics and visualization tools such as Power BI, Tableau, Qlik, Jupiter Notebook, Databricks, Python, R, SQL, or similar technologies.”
The ad says“Understanding of statistical analysis, predictive analytics, data modeling techniques, and data management best practices.”
The ad says“Experience using data analytics and visualization tools such as Power BI, Tableau, Qlik, Jupiter Notebook, Databricks, Python, R, SQL, or similar technologies.”
The ad says“Experience using data analytics and visualization tools such as Power BI, Tableau, Qlik, Jupiter Notebook, Databricks, Python, R, SQL, or similar technologies.”
The ad says“Experience using data analytics and visualization tools such as Power BI, Tableau, Qlik, Jupiter Notebook, Databricks, Python, R, SQL, or similar technologies.”
The ad says“Experience using data analytics and visualization tools such as Power BI, Tableau, Qlik, Jupiter Notebook, Databricks, Python, R, SQL, or similar technologies.”
The ad says“Understanding of statistical analysis, predictive analytics, data modeling techniques, and data management best practices.”
The ad says“ONE (1) o more years of experience performing data analysis, statistical modeling, business intelligence, data visualization, or related analytics work.”
The ad says“Experience using data analytics and visualization tools such as Power BI, Tableau, Qlik, Jupiter Notebook, Databricks, Python, R, SQL, or similar technologies.”

Values

The ad says“Experience working with cloud-based analytics environments such as Advana, Databricks, Azure, or similar enterprise data platforms.”
The ad says“Familiarity with AI/ML frameworks and techniques, including predictive modeling, classification, clustering, natural language processing, or optimization methods.”
The ad says“Experience working with cloud-based analytics environments such as Advana, Databricks, Azure, or similar enterprise data platforms.”
The ad says“Knowledge of Power Platform, Databricks, business intelligence architecture, data governance principles, and data quality management practices.”
The ad says“Familiarity with AI/ML frameworks and techniques, including predictive modeling, classification, clustering, natural language processing, or optimization methods.”
The ad says“Familiarity with AI/ML frameworks and techniques, including predictive modeling, classification, clustering, natural language processing, or optimization methods.”
The ad says“Knowledge of Power Platform, Databricks, business intelligence architecture, data governance principles, and data quality management practices.”
The ad says“Knowledge of Power Platform, Databricks, business intelligence architecture, data governance principles, and data quality management practices.”
The ad says“Familiarity with AI/ML frameworks and techniques, including predictive modeling, classification, clustering, natural language processing, or optimization methods.”
The ad says“Familiarity with AI/ML frameworks and techniques, including predictive modeling, classification, clustering, natural language processing, or optimization methods.”
The ad says“Knowledge of Power Platform, Databricks, business intelligence architecture, data governance principles, and data quality management practices.”
The ad says“Familiarity with AI/ML frameworks and techniques, including predictive modeling, classification, clustering, natural language processing, or optimization methods.”

Job Family:

Data Science & Analysis

Travel Required:

Up to 10%

Clearance Required:

Active Secret

What You Will Do:

Perform exploratory, descriptive, diagnostic, and predictive data analysis to support Navy Reserve readiness assessments, mission assurance initiatives, and data-driven decision making.
Develop, test, and maintain data models, dashboards, visualizations, and analytical products leveraging enterprise data sources and modern analytics platforms.
Support the design and implementation of AI/ML models that improve forecasting, risk analysis, readiness optimization, and operational decision support capabilities.
Collaborate with data engineers, architects, business analysts, and government stakeholders to gather requirements, validate data, identify trends, and recommend data-driven solutions.
Analyze data quality issues, identify anomalies and inconsistencies, and support development of automated monitoring and reporting processes to improve data integrity and governance.

What You Will Need:

An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Operations Research, Engineering, or a related quantitative field.
ONE (1) o more years of experience performing data analysis, statistical modeling, business intelligence, data visualization, or related analytics work.
Experience using data analytics and visualization tools such as Power BI, Tableau, Qlik, Jupiter Notebook, Databricks, Python, R, SQL, or similar technologies.
Understanding of statistical analysis, predictive analytics, data modeling techniques, and data management best practices.

What Would Be Nice To Have:

Experience supporting Department of War, U.S. Navy, federal government, or large enterprise analytics programs.
Familiarity with AI/ML frameworks and techniques, including predictive modeling, classification, clustering, natural language processing, or optimization methods.
Experience working with cloud-based analytics environments such as Advana, Databricks, Azure, or similar enterprise data platforms.
Knowledge of Power Platform, Databricks, business intelligence architecture, data governance principles, and data quality management practices.
Experience communicating analytical findings through executive briefings, dashboards, technical reports, and presentations to both technical and non-technical stakeholders.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Voluntary Life and AD&D Insurance
Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
Transit and Parking Commuter Benefits
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Care.com annual membership
Employee Assistance Program
Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.