Data Analyst Manager

Houston, Texas, United States

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Data Analyst Manager

We are seeking a talented Data Analyst Manager to join our highly motivated and innovative Data Engineering team. You will manage the processes and people responsible for Two Sigma’s foundational data environment, including activities related to data ingestion, cleansing, transformation and quality.

Responsibilities:
  • Develops and leads a team of analysts with the skills, capabilities, and passion necessary to successfully drive and sustain a data focused culture
  • Develops and implements quality controls and departmental standards to ensure uninterrupted day-to-day data operations 
  • Defines, develops and provides insights, metrics and analysis to drive the decision-making process that supports Two Sigma’s business operations
  • Partners with internal Business Partners to understand business needs and define future data requirements
  • Facilities a data-driven, statistical approach to problem solving, including gathering, analyzing and reporting data
  • Leads and executes process and data improvement projects
  • Focuses on automation and utilizing technology to provide repeatable solutions
Basic Qualifications:
  • A bachelor’s degree in an analytical or technical discipline with a strong academic record
  • 5+ years of analyst experience obtained through progressive analytical and operational work experience
  • 3+ years of direct leadership experience
  • Experience in both UNIX/LINUX and Windows environments
  • Experience with SQL and working with a relational database system, such as Microsoft SQL Server
  • Proven problem-solving and analytical abilities including pattern detection, root cause analysis, and issue resolution
  • Strong communication skills
  • Able to work in an evolving and fast-paced environment and adjust to multiple priorities and timelines
Preferred Qualifications:
  • Financial domain experience in a trading environment
  • Database/ETL experience
  • Experience with Python (and/or Java)
  • Experience documenting business processes and workflows
  • An understanding of how to design and develop effective data quality tests and measures