Data Analyst (Banking | Financial Services)

Overview

Hybrid
$90,000 - $105,000
Full Time
No Travel Required

Skills

data profiling
data validation
data quality
SQL
Python
Banking
Financial Services
Big Data
PySpark
BigData
data analytics

Job Details

Other Details:

  • Interview Process: 3 rounds via MS Teams
  • Relocation Assistance for non-local candidates.
  • Work Authorization: Candidates must be legally authorized to work in the US and able to work without current or future H-1B sponsorship. Eligible work authorizations may include s, , F-1 OPT, STEM OPT.


Requirements:

  • 4 7 years of experience in data engineering, data analytics, or related roles.
  • Banking or financial services domain experience highly preferred.
  • Strong analytical and problem-solving skills with advanced SQL proficiency must have real, hands-on experience, not just keyword-level exposure.
  • Experience working in a Big Data environment, with familiarity in PySpark.
  • Solid understanding of data profiling, data validation, and data quality management.
  • Ability to work with large datasets, troubleshoot data issues, and ensure data accuracy and consistency across pipelines.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.