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Data Analyst - Hybrid

Credibly

Salary not specified
Aug 29, 2025
New York, NY, US
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Credibly is looking to leverage data analytics to drive business forward and provide trusted analytics to business partners

Requirements

  • Working knowledge of Python, SQL and Microsoft Office tools
  • Strong analytical, critical thinking, and creative problem-solving skills
  • Working knowledge of Statistical methodologies
  • Experience in data engineering
  • Experience in developing Machine Learning and AI solutions
  • At least a Bachelor’s degree in a quantitative field such as computer science, data science, statistics, or physics
  • 1+ years of experience as a data analyst/data scientist in industry

Responsibilities

  • Collaborate with the business to execute on identified opportunities by performing exploratory data analyses (EDAs), generating, and testing working hypotheses, preparing, and analyzing historical data and identifying patterns to drive revenue and cost savings
  • Employ historical data/insights to make informed estimates in helping determine the direction of future trends for the business
  • Develop and maintain reports that provide insights across the business
  • Support the efforts of leadership to ensure our data and analyses are trusted by helping to champion high standards, transparency, and regular communication with the business
  • Keep up with the latest trends in advanced analytics
  • Explore and test additional/new data sources that may add value
  • Effectively manage multiple assignments with challenging timelines within a collaborative environment

Other

  • At least a Bachelor’s degree in a quantitative field such as computer science, data science, statistics, or physics
  • 1+ years of experience as a data analyst/data scientist in industry
  • Excellent written and verbal communication skills, and proven presentation skills
  • Ability to relay information to senior management in a succinct, insightful way
  • Flexible and productive in a hybrid working arrangement