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Job Description

Benefits and culture

Join the Information Technology Senior Management Forum in New York, onsite, for a Senior Data Analyst role that centers on Innovation, Business Intelligence, and Data Management. You will turn data into actionable insights that inform strategic decisions and help shape data-driven outcomes across the organization. The role offers a competitive annual salary of USD 121,300 to 138,400 and is a full-time, onsite position. A Master’s Degree is listed as the target education for this role, with the expectation that the degree is obtained or is in progress with an anticipated completion date prior to start. This position emphasizes collaboration with business stakeholders and technology teams to advance data solutions and governance.

Responsibilities

  • Leverage open source and digital technologies to mine diverse, large-scale data sources and platforms.
  • Develop well-governed data solutions, tools, and self-service capabilities for data consumers.
  • Assess and adopt new technologies quickly to advance multiple initiatives.
  • Collaborate with the business to translate needs into tools, techniques, metrics, and dashboards for insights and data visualization.
  • Lead analyses that yield meaningful insights for business strategies.
  • Promote adherence to data quality management principles, including metadata, lineage, and business definitions.
  • Partner with technology teams to implement security controls and data access governance.
  • Build and deploy tools to monitor and report on data quality.

Requirements

  • An education path of either a Bachelor’s degree in a quantitative field with at least two years of data analytics experience, or a Master’s degree with the expectation of completion by the start date.
  • At least one year of experience using at least one scripting language.
  • At least one year of experience with a business intelligence or data visualization tool.
  • At least one year of experience querying, analyzing, and working with data languages and platforms.

Technologies

  • Python
  • R
  • Spark
  • SQL
  • Snowflake
  • AWS
  • Informatica DQ

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