Senior Data Analyst

New York, NY


  • Provide data driven solutions for business needs related to enterprise and individual cloud accounts including but not limited to cost analytics and avoidance recommendations.
  • Answer business questions using cloud data and cloud data analysis tooling.
  • Design, educate and implement data solutions as scalable cloud solutions.
  • Understand the current and ongoing landscape of analytical techniques including classic statistical analysis, data modeling, regression, anomalous detection, clustering, contextualization, etc.
  • Mitigate cognitive biases in generation and presentation of reports and information
  • Education of stakeholders, teams and leadership
  • Communicate insights, design and implementation to both technical and non-technical audiences
  • Partner with internal data experts, developers, and tech teams to develop and maintain existing solutions and create new solutions

Experience & Qualifications

Basic Qualifications:

  • Master’s degree in Computer Science, Computer Engineering or Mathematics (or 6+ years of equivalent work experience)
  • 5+ years of hands-on experience designing, building, and evaluating practical data science solutions to solve business problems
  • 3+ years of SQL and NoSQL design, DDL and DML, Big Data management, processing and analysis tools and strategies in Azure and/or AWS, data capture, analysis and reporting in a cloud environment
  • 2+ years in cloud based services (e.g. AWS or Azure)
  • 1+ years in machine learning
  • Proven track record of extracting accurate conclusions and identifying trends from quantitative information.
  • Proven track record of providing and communicating complex quantitative analysis reports and data visualization in a clear, precise, and actionable manner
  • Proven track record managing data visualization and presentation tools and strategies

Preferred but Optional Qualifications:

  • 2+ years in data processing and cloud-based machine learning frameworks (Python, R, TensorFlow, PyTorch, ONNX) optional but preferred
  • Understanding of data sovereignty and data localization and how they impact implementation for data processing, aggregation, analysis and presentation.
  • AWS Certification - Machine Learning
  • MS Certification - Azure Data Scientist Associate
  • MS Certification - Azure AI Engineer Associate


  • Competitive compensation and upside potential
  • Ground floor opportunity to shape the strategic direction of an industry-disrupting business
  • Sharp, motivated co-workers in a fun office environment
  • Great work/life balance, including flexible vacation policy


To be considered for this position, please send a resume and cover letter to

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