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Data Analyst

Akorbi Workforce Solutions

Data Analyst

New York, NY +3 locations
Full Time
Paid
  • Responsibilities

    Job Description

    Query based and algorithmic programming, logical structuring, and cross-functional communication are some of the skills required for this position. You will be expected to work independently and learn as you go, solving for roadblocks as they arise and proactively identifying new areas for improvement. Your key data insights and contributions will be critical to defining how we pitch and grow our products.

     

    The ideal candidate is a solution-oriented thinker with a strong background in processing huge data sets, applying analytical and computational rigor, and driving toward insights and impact. You are a well-rounded top performer who is able to “crunch the numbers” one minute and critically think through strategic implications the next.

     

    Responsibilities:

    Skill/Experience/Education

    Mandatory Minimum qualification(s) BS in Computer Science, Statistics, Math, OR a related discipline, OR 3+ years of relevant experience with quantitative focus 2+ years experience with SQL, and a programming language like Python working on extraction, transformation, and aggregation of very large and messy data sets Experience building automated jobs that manipulate data; specifically, having built out data pipelines is a plus Analytical thinking / Problem solving skills - connect the dots between the data to develop hypothesis for product and growth team to take action Strong communication skills, verbal and written, with the ability to represent, and influence discussions involving quantitative concepts and data-based stories.

    Company Description

    Akorbi Workforce Solutions provides technical, professional, high-volume, multilingual and bilingual staffing solutions in the U.S. and globally to support the contract, contract-to-hire, direct-hire, statement of work and payroll needs of Fortune 1000 clients.

  • Locations
    Mountain View, CA • Sunnyvale, CA • San Francisco, CA • New York, NY