Job Details
N/A
INTPL - 7598 - Data Analyst
N/A,  Illinois,  United States | Posted - 03/01/24

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