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Data Analyst (ETL & Data Quality)

Nous InfosystemsUnited States🇺🇸United StatesPosted 29 Jul 2026

Why This Role Stands Out

This hybrid Data Analyst role at Nous Infosystems offers a fantastic opportunity to deepen your expertise in ETL and data quality, contributing to critical data integrity initiatives within a reputable technology company. You'll thrive here if you possess strong SQL and Python skills, enjoy tackling complex data challenges, and are eager to grow your career in a collaborative environment. Apply now to leverage your analytical prowess and make a significant impact.

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Role Overview

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. 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.

Location

  • Remote (Candidates located on the U.S. East Coast are preferred).

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

Skills

SQL
ETL
Python

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