Senior Data Analyst
About The Position
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.
Requirements
- Ten (10) years of relevant data analysis, data engineering, or data management experience, consistent with senior-level technical labor categories
- 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.
Nice To Haves
- 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).
Responsibilities
- 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.
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
