Data Analyst

Stellar IT Solutions

Chicago, United States of America

4 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Job location

Chicago, United States of America

Tech stack

Amazon Web Services (AWS)

Cloud Database

Cloud Storage

Information Engineering

Linux

Python

Power BI

Shell Script

SQL Databases

Tableau

Jupyter Notebook

Data Processing

Snowflake

PySpark

Databricks

Requirements

We are seeking experienced Senior Data Analysts to support advanced data engineering and analytics initiatives. This role requires strong technical expertise, handson problem solving, and the ability to work independently in a fastpaced environment.

Core Technical Skills

Python / PySpark: Skilled in data processing using Databricks or Jupyter Notebooks.
SQL: Proficient in complex data manipulation and retrieval.
AWS (S3): Experience consuming and managing data in cloud storage.
Snowflake: Handson background in cloud data warehousing.
Linux / Unix: Comfortable with shell scripting for navigation and automation.
Dashboarding / Visualization: Strong experience with tools such as Tableau, Power BI, or QuickSight.

Preferred Qualifications

Capital One Experience: Familiarity with internal tools and ecosystem is highly valued for faster onboarding.
Proactive Learner: Ability to quickly adapt to new tools and processes without extensive documentation.
SelfStarter: Demonstrated capability to take ownership of problems and drive solutions independently.

CONTRACTOR, FULL_TIME, PART_TIME