Title: Data analyst
Location: Mclean, VA/ Richmond, VA
Duration 6 months
Pay Rate; $50 - $55 hr. W2
Description:
Act as key data lead to leverage versatile technical capabilities to drive the development, evolution, and implementation of data products, which enable self-service by data consumers
Re-engineer data processes and migrate the processes from on-premises to Amazon Web Services
Explore industry trends, tools, and techniques in Open Source/Big Data/Digital domain
Business Intelligence...
Execute and monitor data processes that deliver critical data to partners and regulators
Develop prototypes and implement new business intelligence tools, solutions, and techniques
Assist in development of standards and policies for business intelligence frameworks
Data Management...
Evaluate data management, data quality and data access processes for gaps, inefficiencies and opportunities; provide recommendations for improvement
Implement solutions and processes for management and governance across data quality metrics, metadata,
lineage, data access rights, and business definitions
Develop data mapping to enable data end users to more easily transition to using new systems
Ideal candidate will have:
Degree specialized in a Science, Technology, Engineering, or Mathematics discipline
6+ years of experience with Python, Pyspark, Snowflake SQL, Unix/Linux, Github
6+ years of experience with Amazon Web Services products such as Quicksight and Snowflake
6+ years of experience with Quicksight
6+ years of experience with hands on Snowflake SQL
6+ years of experience Python coding along with automation scripting skills
6+ years of experience in querying, analyzing, and working with data languages and platforms
Previous COF experience
Experience in domain knowledge focused on risk management/audit/ credit operational control space
6+ years of experience working within process management and improvement methodologies – Lean, Six Sigma, etc)
6+ years of experience working with and demonstrating knowledge of data governance, data quality management concepts and data quality tools management concepts and data quality tools
Only W2