Data Analyst (ETL & Data Quality)

Data Analyst (ETL & Data Quality), Banking domain exp

Location: Remote (East Coast candidates preferred)

Duration: 6-12 Months

Multiple roles

Job Summary:

We are seeking a Data Analyst with strong experience in ETL processes, data quality, and SQL to support data validation and ETL control testing initiatives for Bank of America. The ideal candidate should have hands-on experience analyzing data, writing complex SQL queries, and validating ETL workflows.

Key Responsibilities:

    Validate and test ETL processes and ETL controls.

    Perform data quality analysis and identify data discrepancies.

    Write and optimize complex SQL queries for data validation and reporting.

    Analyze large datasets to ensure data accuracy and integrity.

    Collaborate with business and technical teams to resolve data issues.

    Support data testing, reconciliation, and reporting activities.

Required Skills:

    Strong experience with ETL processes and data quality testing.

    Advanced SQL skills, including writing complex queries.

    Experience with Python for data analysis and automation.

    Working knowledge of Alteryx.

    Experience testing ETL controls and validating data pipelines.

    Strong analytical and problem-solving skills.

Preferred Qualifications:

    Experience in the Banking or Financial Services domain.

    AML (Anti-Money Laundering) experience is a strong plus.

    Experience working with Bank of America or similar financial institutions is preferred.

This role is ideal for a Data Analyst with a strong background in ETL testing, SQL, data quality, and financial data environments.