Data Analyst, Exploration

DRW•Chicago, IL

6d•$100,000 - $120,000

About The Position

As a Data Analyst, Exploration you will play an integral role in all operational aspects of onboarding, managing and maintaining various datasets used by traders and quantitative researchers. You will work closely with a variety of stakeholders, including data strategists and data engineers, as well as teams across technology, operations, research, and risk management. You should be comfortable investigating complex data issues in a fast-paced environment.

Requirements

1-2 years of relevant experience
Strong foundational knowledge of financial instruments and market data symbology, with an interest in developing further expertise in these areas
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

Nice To Haves

Experience with cloud services such as AWS Athena and Amazon S3
Familiarity with Linux and basic Bash scripting skills
Experience with version control tools such as Git
Good understanding of data management and data quality principles, with experience developing data quality checks or reports
Prior experience using the Bloomberg Terminal
Experience with Apache Airflow or similar tools

Responsibilities

Analyze new datasets to profile their content, identify collection and storage requirements for data engineering teams and proactively surface insights about the datasets for data strategists and front-office stakeholders
Collect metrics and analyze datasets across different dimensions of data quality including completeness, validity, accuracy, timeliness, and consistency
Curate data catalog entries to ensure our research data assets are accurately represented and easily discoverable
Engage with global front office research teams to support datasets throughout their lifecycle, addressing content inquiries and managing communications with external data vendors
Monitor and resolve production data issues while engaging key stakeholders across multiple teams and facilitating global support
Assist the wider team by identifying opportunities to improve existing datasets and data management processes