Data Analyst, Exploration – Finance Data & Insights

Unchain Data; Chicago, Northern (IL, KY); Hybrid; USD 100,000 - 120,000; Full time

Benefits offered by this job

Annual bonus

Comprehensive benefits

401k with employer match

Job summary

DRW, a Chicago-based trading firm, is seeking a Data Analyst, Exploration, to help onboard, manage and maintain datasets used by traders and quantitative researchers. You will collaborate with data strategists, data engineers and front-office teams to investigate complex data issues in a fast-paced environment.

Responsibilities include profiling new datasets, assessing data quality, curating data catalog entries, supporting lifecycle management with global teams, and aiding in data quality

Qualifications

• 1-2 years of relevant experience
• Strong foundational knowledge of financial instruments and market data symbology
• Proficiency with SQL and Python for exploratory data analysis (PySpark, pandas, numpy, Jupyter Notebooks)
• Ability to document and clearly explain complex data analysis findings
• Exceptional attention to detail and effective communication skills
• Ability to think both independently and collaboratively

Responsibilities

• Analyze new datasets to profile content and surface insights for data strategists and front-office stakeholders
• Collect metrics and analyze data quality across dimensions like completeness and timeliness
• Curate data catalog entries for discoverability
• Engage with global front office research teams to support datasets through their lifecycle
• Monitor and resolve production data issues across teams
• Identify opportunities to improve datasets and data management processes

Skills

SQL

Python

PySpark

Pandas

NumPy

Jupyter Notebooks

Data analysis

Data storytelling

Tools

AWS Athena

Amazon S3

Linux

Git

Apache Airflow

Bloomberg Terminal

Job description

DRW, a Chicago-based trading firm, is seeking a Data Analyst, Exploration, to help onboard, manage and maintain datasets used by traders and quantitative researchers. You will collaborate with data strategists, data engineers and front-office teams to investigate complex data issues in a fast-paced environment.

Responsibilities include profiling new datasets, assessing data quality, curating data catalog entries, supporting lifecycle management with global teams, and aiding in data quality