Data Analyst

Location: New York City, New York
Category: Software Development
Employment Type: Contract
Work Location: Remote
Job ID: 35553
Date Added: 03/07/2025

Our large client is looking for a Remote Data Analyst for a long term contract opportunity.

Responsibilities:

  • Drive key objectives across consumer and commercial analytics by developing data-driven insights and recommendations.
  • Collaborate with stakeholders to understand business requirements, design sustainable data solutions, and communicate actionable insights.
  • Translate complex data processes and system changes into business-friendly language for clear communication.
  • Validate key performance indicators (KPIs) and build SQL queries to quantitatively measure business performance.
  • Analyze and identify the root causes of data anomalies and outliers by working closely with cross-functional teams.
  • Develop and implement data governance standards, ensuring data accuracy and consistency from ingestion to product documentation.
  • Create SQL queries and data visualizations for ad-hoc analysis and ongoing reporting, leveraging best practices in data analytics.
  • Organize and transform raw data into structured insights, using statistical analysis and trend prediction to support business decisions.
  • Utilize data mining techniques to extract information, identify patterns, and optimize business processes.
  • Monitor data quality, identify inconsistencies, and implement solutions to enhance accuracy and reliability.
  • Evaluate and implement new data tools and technologies to improve high-volume data processing efficiency.
  • Enhance existing processes through automation, improving workflows and data accessibility.
  • Design and deliver scalable data and analytics solutions to support strategic decision-making.
  • Independently conduct end-to-end analysis to advise product strategy, data architecture, and reporting enhancements.
  • Support and enforce best practices in reporting, data integrity, quality control, testing, modeling, validation, and documentation.

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