Guidehouse
SeniorDataAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Analyst at Guidehouse. Skills: Data analysis, Data engineering, Data management, Data modeling. Provide advanced data analysis. Provide data management support”
Industry & Context.
Analytical capabilities; Problem-solving capabilities; Troubleshooting; Root cause analysis
Up to 10% travel, Ability to Obtain Public Trust
What They're Looking For.
Must Have
10 years relevant experience, Bachelor's degree, SQL proficiency, Data analysis tools experience, Data visualization tools experience, Data integration experience, ETL processes experience, Large-scale data environments experience, Distributed systems experience, Cloud-based data platforms experience, Data governance principles understanding, Data security principles understanding, Data compliance principles understanding, APIs understanding, Integration with application ecosystems understanding, US Citizens and Green Card holders only, Ability to OBTAIN and MAINTAIN Public Trust
Nice to Have
Experience with big data technologies, Familiarity with data warehousing architectures, Familiarity with data lake architectures, Knowledge of machine learning techniques, Knowledge of advanced analytics techniques, Experience with DevOps practices, Experience with DataOps practices, Experience with CI/CD pipelines, Exposure to .NET, Exposure to Appian, Exposure to enterprise application environments, Experience in federal environments, Experience in highly regulated environments, Azure Data Engineer certification, AWS Data Analytics Specialty certification, ACTIVE PUBLIC TRUST or SUITABILITY preferred
What You'll Do.
Provide advanced data analysis
Provide data management support
Provide reporting support
Design analytical solutions
Develop analytical solutions
Maintain analytical solutions
Analyze large datasets
Analyze complex datasets
Identify actionable insights
Develop data pipelines
Optimize data pipelines
Develop data integration processes
Optimize data integration processes
Ensure data integrity
Ensure data consistency
Collaborate with application teams
Collaborate with database teams
Collaborate with business teams
Support data governance
Support data compliance
Support data security requirements
Develop technical documentation
Maintain technical documentation
Provide ad hoc data analysis
Provide ad hoc reporting support
Lead data-related troubleshooting
Lead root cause analysis
Mentor junior team members
Contribute to knowledge sharing
Contribute to best practices
Evaluate modern data tools
Implement modern data tools
Evaluate analytics platforms
Implement analytics platforms
Evaluate automation capabilities
Implement automation capabilities
How You'll Work.
Team & Collaboration
Collaborate with business teams; Collaborate with application teams; Collaborate with database teams
Communication Scope
Written communication; Verbal communication; Interpersonal communication; Technical documentation
Full Job Description
**_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. * Abili
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