Negotiable
Outside
Remote
USA
Summary: The Data Analyst role focuses on supporting the US Card Partnerships team by analyzing credit card data, brand performance, and customer insights. Candidates must possess strong SQL and Python skills, with a preference for experience in the financial services or credit card domain. This position is a long-term contract and is primarily remote.
Key Responsibilities:
- Support the US Card Partnerships team with credit card analytics and customer insights.
- Utilize SQL and Python for data analysis and reporting.
- Analyze brand partnership performance and provide actionable insights.
- Work with data ingestion and loading using AWS S3.
- Create dashboards and visualizations using Tableau.
Key Skills:
- 5+ years of experience in data analytics, preferably in the financial services or credit card domain.
- Advanced SQL expertise, including window functions, subqueries, joins, and optimization.
- Hands-on experience with Snowflake, PostgreSQL, and Databricks.
- Strong proficiency in Python or PySpark for data wrangling and analytical scripting.
- Proficiency in Tableau for dashboard creation and visual storytelling.
- Working knowledge of predictive analytics models and classification techniques (preferred but not required).
- Strong problem-solving and analytical thinking skills.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: Other
Job Tittle: Data Analyst W2 Only!!
Location: Remote
Duration: Longterm Contract
Interview Mode: Webex interview
Must have: Need strong experience with SQL and Python .
We are seeking a Data Analyst to support the US Card Partnerships team, focusing on credit card analytics, brand partnership performance, and customer insights. financial services or credit card domain.
- 5+ years of experience in data analytics, preferably in the financial services or credit card domain.
- Prior experience supporting Client Credit Card Data Analytics or similar environments is strongly preferred.
- Advanced SQL expertise - including window functions, subqueries, joins, and optimization.
- Hands-on experience with Snowflake, PostgreSQL, and Databricks.
- Familiarity with AWS S3 for data ingestion and loading.
- Strong proficiency in Python or PySpark for data wrangling and analytical scripting.
- Proficiency in Tableau for dashboard creation and visual storytelling; understanding of context filters and data connection strategies (Extract vs. Live).
- Working knowledge of predictive analytics models, classification techniques, or LLM-based analysis (preferred but not required).
- Strong problem-solving and analytical thinking skills with the ability to translate data into actionable insights.