Data Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Analyst: Executing data quality and asset management activities for a portfolio of systems with an accent on metadata analysis, reverse-engineering technical artifacts, and ETL development. Focus on ensuring data integrity, supporting strategic data management, and collaborating with stakeholders to improve business practices.
Location: Must be based in the USA (Beavercreek, OH). Role may require occasional in-person work at a Booz Allen or customer facility.
Salary: $61,900–$141,000 (annualized USD).
Company
is a global consulting firm providing management and technology services to government and commercial clients.
What you will do
- Analyze operational activities to provide a quantitative basis for decision-making and resource allocation.
- Reverse-engineer data models and technical artifacts to extract and maintain metadata.
- Develop and maintain ETL routines to load and curate disparate data sets.
- Review data to detect quality problems and anomalies, assisting with historical data correction.
- Collaborate with functional and technical data stewards to present findings and recommendations.
- Convey complex data management and governance topics to stakeholders and leadership.
Requirements
- Must be eligible to obtain a Secret clearance.
- Bachelor’s degree.
- Experience in data analysis, including SQL and Python.
- Experience with ETL performance optimization or data movement tools (e.g., StreamSets, Databricks, Jupyter Notebooks).
- Knowledge of database structures and table management.
- Must be based in the USA.
Nice to have
- Experience with Air Force data or logistics.
- Experience in logical data modeling, data normalization, and DAMA DMBOK-aligned practices.
- Experience in requirements elicitation and statistical analysis.
- Strong verbal and written communication skills.
Culture & Benefits
- Comprehensive health, life, and disability insurance.
- Retirement benefits and financial planning support.
- Paid leave and work-life balance programs.
- Professional development and tuition assistance.
- Recognition awards program for exceptional performance.
Hiring process
- Identity verification process using biometrics and AI.
- Interviews may require being on camera.
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