Guidehouse

Program Analytics & Data Visualization Specialist

United States · Work style not stated · Full time

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About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerGuidehouse
  • LocationUnited States
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

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.

Show full description

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:

Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST.

Bachelor's degree.

FIVE (5) or more years of experience in business intelligence, analytics, reporting, data visualization, public health informatics, healthcare analytics, or a related field.

Experience designing, developing, and administering enterprise Power BI solutions.

Experience with:

Power BI Desktop

Power BI Service

DAX optimization and performance tuning

Power Query (M)

Data modeling and dimensional design

Row-level security

Deployment pipelines

Data gateway configuration

Enterprise reporting architecture

Experience leading stakeholder engagement sessions and translating business objectives into scalable analytical solutions.

Experience implementing data governance processes, reporting standards, and data quality frameworks.

Experience mentoring junior analysts and supporting analytical delivery teams.

Experience performing advanced statistical analyses and developing executive-level reporting products.

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.

Demonstrated understanding of AI-enabled analytics, generative AI, machine learning concepts, or intelligent automation.

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 $80,000.00-$133,000.00. 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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At a glance

  • Employment typeFull time
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

Python Power BI Snowflake Azure Machine learning Agile

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