
Posted a day ago
Senior Data Analyst
GuidehouseSenior Data Analyst
Perks & benefits
Medical InsurancePaid LeaveHealth Insurance
Requirements
10 years data analysis experience, Bachelor's degree in Data Science or related field, Proficiency in SQL and relational databases, Experience with Python or R, Experience with Power BI or Tableau, Experience with ETL processes, Experience with AWS or Azure, US Citizen or Green Card holder, Ability to obtain Public Trust clearance
Skills
SQLPythonPower BITableauAWSAzure
About the role
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.
- 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.
Requirements
- 10 years of relevant data analysis, data engineering, or data management experience.
- Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or a related field.
- Proficiency in SQL and relational databases.
- Experience with data analysis tools such as Python or R.
- Experience with data visualization tools like Power BI or Tableau.
- Experience with data integration and ETL processes.
- Experience with cloud-based data platforms such as AWS or Azure.
- US Citizen or Green Card holder.
- Ability to obtain and maintain a Federal or DoD Public Trust clearance.
Preferred Qualifications
- Experience with big data technologies such as Spark or 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.
- Relevant certifications such as Azure Data Engineer or AWS Data Analytics Specialty.
Benefits
- Medical, Rx, Dental & Vision Insurance
- 401(k) Retirement Plan
- Parental Leave
- Tuition Reimbursement and Professional Development opportunities
- Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
- Paid Holidays and Sick Time
About the Company
Guidehouse is a global AI-led professional services firm delivering advisory, technology, and managed services to the commercial and government sectors. We drive efficiency and resilience in the healthcare, financial services, energy, infrastructure, and national security markets.
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Guidehouse · Washington
