Position: Data Analyst
Location: TX, VA, IL, NY (Hybrid 3 days Onsite & 2 days Remote)
Client: Capital One
Duration: ~6 months possible extension
Experience: 4 to 5 years
Visa: Any but No H1 Transfers, If it is an H1B they should be in our payrolls.
Ex Capital One Candidates preferred.
JOB DESCRIPTION
Responsibilities:
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
Experience with Python, Snowflake SQL, Unix/Linux, Databricks and GitHub.
Experience with Amazon Web Services products, such as EC2, S3, Redshift, and Snowflake
Desire to learn about external companies (typically Fortune 500) that Capital One partners with for co-brand and
private label programs.
Experience with BI tools such as Tableau/Thoughtspot.
Basic Qualifications:
Bachelor's Degree
At least 1 year of experience in at least one scripting language with automation
At least 1 year of experience in querying, analysing, and working with data languages and platforms
Preferred Qualifications:
Master's Degree in a Science, Technology, Engineering, or Mathematics discipline
Previous COF experience
Experience in domain knowledge focused on risk management/audit/ credit operational control space
1+ years of experience working within process management and improvement methodologies Lean, Six
Sigma, etc)
1+ years of experience working with and demonstrating knowledge of data governance, data quality
management concepts and data quality tools
1+ years of experience with hands on Python/SQL coding in Databricks along with automation scripting skills