Senior Data Analyst: Innovate, BI & Data Quality

Capital One; Chicago (IL); On-site; USD 101,000 - 115,000; Full time

Job summary

Capital One is seeking a Sr. Data Analyst to leverage analytics and technical skills to build data solutions and enable self-service capabilities. The role combines innovation, business intelligence, and data management to tackle complex business problems.

You will partner with the business to design tools, metrics, and dashboards, drive meaningful analytics, and uphold data quality and governance across data assets.

Qualifications

• Bachelor’s degree in quantitative field plus 2 years of data analytics experience or Master’s degree with start date before scheduled start date.
• At least 1 year of experience with a scripting language.
• At least 1 year of experience with a business intelligence visualization tool.
• At least 1 year of experience querying and analyzing data languages and platforms.

Responsibilities

• Innovate using Open Source/Digital technologies to mine data from diverse sources.
• Build data solutions and enable self-service data frameworks for consumers.
• Partner with business to design metrics and dashboards for insights and data visualization.
• Drive analysis to inform business strategies.
• Ensure data quality, metadata, lineage, and governance across data assets.
• Collaborate with Tech teams to manage data security and access governance.

Skills

Python

R

Spark

SQL

BI tools

Data languages

Snowflake

AWS services

Data governance

Education

Bachelor’s degree in quantitative field

Master’s degree (preferred)

Tools

Snowflake

AWS

Informatica DQ

Job description

Capital One is seeking a Sr. Data Analyst to leverage analytics and technical skills to build data solutions and enable self-service capabilities. The role combines innovation, business intelligence, and data management to tackle complex business problems.

You will partner with the business to design tools, metrics, and dashboards, drive meaningful analytics, and uphold data quality and governance across data assets.