Senior Data Analyst

Posted 10 Days Ago
Washington, DC, USA
In-Office
113K-188K Annually
Senior level
Consulting
The Role
Provide advanced data analysis, design and maintain data models, pipelines, dashboards, and reporting for enterprise systems. Analyze large datasets for insights, ensure data quality and governance, support integrations and cloud platforms, troubleshoot data issues, mentor junior staff, and evaluate modern analytics tools in regulated federal environments requiring Public Trust.
Summary Generated by Built In

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

  • Provide advanced data analysis, management, and reporting support for enterprise systems and mission-critical programs.

  • Design, develop, and maintain data models, dashboards, and analytical solutions to support business and operational needs.

  • Analyze large and complex datasets to identify trends, anomalies, and actionable insights.

  • Develop and optimize data pipelines and data integration processes across multiple systems and platforms.

  • Ensure data quality, integrity, and consistency across databases and reporting environments.

  • Collaborate with application, database, and business teams to support data-driven decision-making.

  • Support data governance, compliance, and security requirements in regulated environments.

  • Develop and maintain technical documentation, including data dictionaries, transformation logic, and reporting procedures, consistent with contract expectations for documentation and technical support Provide ad hoc data analysis and reporting support for stakeholders and leadership.

  • Lead data-related troubleshooting and root cause analysis for data discrepancies and reporting issues.

  • Mentor junior team members and contribute to knowledge sharing and best practices.

  • Evaluate and implement modern data tools, analytics platforms, and automation capabilities.

What You Will Need:

  • Ten (10) years of relevant data analysis, data engineering, or data management experience, consistent with senior-level technical labor categories Education:

  • Bachelor’s degree in Data Science, Computer Science, Information Systems, Engineering, or related field.

  • Ability to work independently with minimal supervision in complex environments.

  • Strong analytical and problem-solving capabilities for complex data challenges.

  • Excellent written, verbal, and interpersonal communication skills.

  • Ability to translate business requirements into technical data solutions.

  • Demonstrated ability to learn and adapt to emerging data technologies.

  • Strong experience with: SQL and relational databases, Data analysis tools (e.g., Python, R, or similar) and Data visualization tools (e.g., Power BI, Tableau, or similar).

  • Experience with: Data integration and ETL processes, Large-scale data environments and distributed systems and Cloud-based data platforms (AWS, Azure, or similar).

  • Understanding of: Data governance, security, and compliance principles and APIs and integration with application ecosystems (including microservices environments).

  • US Citizens and Green Card holders only.

  • No Visa Sponsorship available for this position.

  • Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"; candidates must obtain approved adjudication of their PUBLIC TRUST prior to onboarding with Guidehouse. Candidates with an ACTIVE PUBLIC TRUST or SUITABILITY are preferred.

What Will Be Nice to Have:

  • Experience with big data technologies (e.g., Spark, Hadoop).

  • Familiarity with data warehousing and data lake architectures.

  • Knowledge of machine learning or advanced analytics techniques.

  • Experience with DevOps/DataOps practices and CI/CD pipelines for data workflows.

  • Exposure to .NET, Appian, or enterprise application environments.

  • Experience in federal or highly regulated environments.

  • Relevant certifications (e.g., Azure Data Engineer, AWS Data Analytics Specialty).

The annual salary range for this position is $113,000.00-$188,000.00. 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 [email protected]. 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 [email protected].  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 [email protected]. 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.

Skills Required

  • Ten (10) years of relevant data analysis, data engineering, or data management experience
  • Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or related field
  • Ability to work independently with minimal supervision in complex environments
  • Strong analytical and problem-solving capabilities for complex data challenges
  • Excellent written, verbal, and interpersonal communication skills
  • Ability to translate business requirements into technical data solutions
  • Demonstrated ability to learn and adapt to emerging data technologies
  • Strong experience with SQL and relational databases
  • Strong experience with data analysis tools (Python, R, or similar)
  • Strong experience with data visualization tools (Power BI, Tableau, or similar)
  • Experience with data integration and ETL processes
  • Experience with large-scale data environments and distributed systems
  • Experience with cloud-based data platforms (AWS, Azure, or similar)
  • Understanding of data governance, security, and compliance principles
  • Understanding of APIs and integration with application ecosystems (including microservices)
  • Must be a US Citizen or Green Card holder; no visa sponsorship available
  • Ability to obtain and maintain a Federal or DoD Public Trust (active Public Trust preferred)
  • Experience with big data technologies (e.g., Spark, Hadoop)
  • Familiarity with data warehousing and data lake architectures
  • Knowledge of machine learning or advanced analytics techniques
  • Experience with DevOps/DataOps practices and CI/CD for data workflows
  • Exposure to .NET, Appian, or enterprise application environments
  • Relevant certifications (e.g., Azure Data Engineer, AWS Data Analytics Specialty)

Guidehouse Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guidehouse and has not been reviewed or approved by Guidehouse.

  • Healthcare Strength Feedback suggests the benefits package includes broad medical, dental, vision, prescription, life, and disability coverage, which is often seen as a strong foundational offering. Access to HSA/FSA options further supports day-to-day healthcare and dependent-care needs.
  • Parental & Family Support Feedback suggests parental leave and adoption assistance are available, alongside an emergency back-up childcare program. These offerings indicate meaningful support for employees managing family responsibilities.
  • Wellbeing & Lifestyle Benefits Feedback suggests flexible work options and counseling/EAP-style support are part of the broader rewards mix. Additional lifestyle-oriented perks like community events and referral programs are also described as available in some contexts.

Guidehouse Insights

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The Company
HQ: Washington, DC
12,000 Employees
Year Founded: 2018

What We Do

Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.

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