Guidehouse

SeniorDataAnalyst

$130–216k Washington, District of Columbia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Data Analyst at Guidehouse. Skills: Data analysis, Data engineering, Data management, Data modeling. Provide advanced data analysis. Provide data management support”

Industry & Context.

Problems you'll solve

Analytical capabilities; Problem-solving capabilities; Troubleshooting; Root cause analysis

Eligibility Requirements

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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