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Data Management Technical Analyst

Chicago, IL
Technical skillset qualifications:
  • At least 3+ years hands-on experience and proven proficiency in scripting languages and tools, including but not limited to Python, R, and Git
  • Demonstrate extensive experience in handling and analyzing large data sets in databases and warehouses such as MS SQL, Snowflake, Vertica, and S3
  • Expert in queries, finding patterns in complex data series, and presenting findings in visualization tools Tableau and PowerBI
  • Familiarity with REST API and web-service integration
  • General understanding of web applications (HTML5, CSS, Modern JavaScript Frameworks like Angular and React), Linux internals, and transfer protocols are preferred but not required
  • Strong ability to perform root cause analysis, problem management, and performance tuning
  • Collaborate with cross-departmental programmers, engineers, and stakeholders for process improvements; develop and implement technical framework for data governance
Education:
  • Bachelor’s degree in Business Analytics, Computer Science, Information Technology or similar.
Qualifications:
  • Strong technology skills including SQL, Advanced Excel Skills, Python
  • Must be a highly motivated, self-starting individual able to multi-task. Able to meet deadlines while juggling rapidly changing priorities.
  • Ability to manage workflow and prioritize requests in a high volume environment.
  • Strong analytical skills and attention to detail. Experience in a high volume/fast-paced and changing environment is required.
  • Experience w/ market data management systems (MDM, MDSL, FITS, etc.) a plus
  • Demonstrated knowledge of cost and price analysis techniques.
  • Must be able to work within a team environment and autonomously.
  • Must have excellent communication, quantitative and analytical skills.
  • Knowledge of the alternative data industry, including key players, use cases, and pricing models a plus, but not required.
  • Some exposure to Market Data (e.g., exchanges, Bloomberg, FactSet, Thomson Reuters etc.) would be helpful, but not required

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