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Closed listing

Guidehouse

Program Analytics & Data Visualization Specialist I

ATLANTA, GA, United States

$70,000 to $116,000 USD / year

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Pay: $70,000 to $116,000 USD / year
Posting language: English
Posted: Aug 12, 2026

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Original job description

Archived listing. The details below describe a past opening.

Job Family :

Data Science & Analysis

Travel Required :

Up to 10%

Clearance Required :

Ability to Obtain Public Trust

What You Will Do :

Design, develop, and maintain interactive dashboards, reports, and visual analytics solutions using Microsoft Power BI.
Gather and translate business, operational, programmatic, and stakeholder requirements into actionable analytics and reporting products.
Develop and optimize Power BI data models, semantic models, DAX measures, calculated columns, and performance-tuned reporting solutions.
Design and implement data transformation workflows using Power Query (M) and related extract, transform, and load (ETL/ELT) processes.
Conduct statistical, trend, and quantitative analyses to support program evaluation, operational decision-making, performance measurement, and reporting requirements.
Perform geospatial analysis and geographic visualization using Power BI mapping capabilities, GIS tools, and spatial datasets.
Analyze, profile, validate, and monitor data quality to ensure reporting accuracy, consistency, and reliability.
Collaborate with program leaders, technical teams, data stewards, and client stakeholders to define metrics, KPIs, reporting standards, and analytical approaches.
Support public health, healthcare, government, or mission-focused analytics initiatives through data-driven insights and visualization.
Leverage emerging artificial intelligence and machine learning capabilities to enhance analytics workflows, reporting efficiency, data discovery, and decision support.
Develop technical documentation, data dictionaries, dashboard user guides, and reporting methodologies.
Present findings, recommendations, and analytical insights to technical and non-technical audiences.

What You Will Need :

US Citizen or permanent resident; must have ability to obtain and maintain a Public Trust clearance.
Bachelor's degree.
THREE (3) or more years of experience in business intelligence, analytics, reporting, data visualization, public health informatics, healthcare analytics, or a related field.
Experience developing dashboards and reporting solutions using Microsoft Power BI.
Experience with:
Power BI Desktop
Power BI Service
DAX
Power Query (M)
Data modeling and semantic models
Report and dashboard development
Data visualization best practices
Experience performing data analysis using SQL and/or statistical analysis tools.
Experience working with structured and semi-structured datasets from multiple data sources.

What Would Be Nice To Have :

Master's degree in Public Health, Health Informatics, Data Science, Analytics, Statistics, Computer Science, Information Systems, Geography/GIS, or a related field.
Knowledge of data governance, data quality, metadata management, and reporting standards.
Experience eliciting business requirements and collaborating with stakeholders.
Strong written, verbal, and presentation communication skills.
Ability to work independently and within cross-functional teams.
Experience supporting federal health, public health, healthcare, or government programs.
Experience with public health informatics standards, data exchange, surveillance, epidemiology, or population health analytics.
Experience with GIS and geospatial analytics tools such as ArcGIS, ArcGIS Online, or QGIS.
Experience with Python, R, SAS, SPSS, or other analytical/statistical programming tools.
Experience with cloud-based data and analytics platforms including: Databricks, Snowflake, Palantir Foundry, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric
Familiarity or experience with Power Platform technologies including: Power Apps, Power Automate, Power Pages, Power Virtual Agents
Familiarity with data integration, API connectivity, and enterprise data architectures.
Knowledge of responsible AI, AI governance, AI literacy, or AI implementation practices.
Microsoft certifications such as: Power BI Data Analyst Associate, Fabric Analytics Engineer Associate, Azure Data Engineer Associate
Experience supporting Agile project delivery environments.

The annual salary range for this position is $70,000.00-$116,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

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.

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More about this job

Skills

Google Analytics
Data visualization
Microsoft Power BI
Reporting
Data models
Power Query
Data engineering
Decision making
GIS
Artificial intelligence
Machine learning
Documentation
Business intelligence
Health informatics
Data modelling
Perform data analysis
SQL
Statistics
Computer science
Communication skills
Work independently
ESRI ArcGIS
QGIS
Python
R
SAS
SPSS
Databricks
Snowflake
Microsoft Azure Data Factory
Microsoft Azure
Microsoft Power Platform
Power Apps
Microsoft Power Automate
Agile

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