Job Title: Data Analyst
Location: McLean, VA
Interview Type: In-person Interview
Required Qualifications
Technical & Data Skills o Strong experience working with relational and non-relational databases, including advanced SQL for complex data extraction, transformation, and analysis o Proficiency in Python for data analysis, validation, automation, and scripting to support data quality and reconciliation processes o Working knowledge of Excel (advanced functions, pivot tables) and experience handling semi-structured data formats (e.g., JSON, XML) o Experience integrating with and analyzing data from REST APIs
Data Quality, Modeling & Analysis o Hands-on experience in data profiling and data quality assessments using both manual techniques and data quality tools o Proven ability to analyze large and complex datasets to identify patterns, anomalies, and inconsistencies o Experience validating data against enterprise data models, schemas, and business rules, ensuring alignment with target-state architectures
Data & Business Alignment o Strong understanding of data lifecycle management, IT business processes, and alignment of data to business objectives o Ability to interpret business requirements and support requirements analysis, with focus on upstream (producer) and downstream (consumer) data impacts during transformation initiatives
Collaboration & Communication o Strong facilitation and communication skills, with the ability to lead cross-functional discussions across business, data, and technology stakeholders o Demonstrated ability to partner with stakeholders to drive alignment and influence data-related outcomes
Project & Delivery Execution
o Foundational project management skills, including tracking deliverables, risks, issues, and dependencies across data workstreams
o Self-motivated, proactive, and results-oriented problem solver with strong analytical thinking and communication skills o Ability to quickly learn new systems and technologies and adapt in a fast-paced environment
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