Data Analyst

in Information Technology
  • New York, New York View on Map
  • Salary: $90,000.00 - $130,000.00
Permanent

Job Detail

  • Experience Level Mid Level
  • Degree Type Bachelor of Science (BS)
  • Employment Full Time
  • Working Type Hybrid
  • Job Reference 0000017243
  • Salary Type Annually
  • Industry Electricity, Oil & Gas
  • Selling Points

    Drive impactful data initiatives in a hybrid work environment. Utilize AI tools to enhance decision-making and innovation. Collaborate with experts to deliver actionable insights and visualizations.

Job Description

Overview

  • Contribute to impactful data-driven decision-making processes within a dynamic organization.
  • Collaborate with cross-functional teams to develop innovative analytical solutions.
  • Leverage cutting-edge AI tools to enhance business operations and drive innovation.
  • Design and implement data visualizations to support strategic initiatives.
  • Communicate complex analytical concepts in a clear and accessible manner.
  • Participate in professional networks to stay updated on industry trends.
  • Work in a hybrid environment with flexible in-office requirements.

Key Responsibilities & Duties

  • Develop and implement analytical models to support business decisions.
  • Utilize AI tools to drive process improvements and innovation.
  • Create and present data visualizations to communicate insights effectively.
  • Provide technical support during audit planning and discovery phases.
  • Facilitate meetings to understand and optimize business processes.
  • Manage multiple projects efficiently while meeting deadlines.
  • Support continuous monitoring initiatives with advanced analytics.

Job Requirements

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or related field.
  • Minimum of 3 years of experience in an analytical role.
  • Proficiency in data visualization tools like Power BI and Tableau.
  • Experience with statistical programming languages such as Python.
  • Strong organizational skills and attention to detail.
  • Advanced proficiency in Microsoft Office Suite.
  • Preferred certifications in Machine Learning and Artificial Intelligence.
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