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Data Analyst - Global Data Analytics

Job ID : 15257

Job Title : Data Analyst - Global Data Analytics

Location : Princeton, NJ

Company Name : Bloomberg

Industry : Information Technology

Salary : $42,000 - $67,000  per year

Job Type : Fulltime

Posted on: 2020-08-26

Required Skills : Python, SQL, Tableau, Qlik Sense, Github, Problem Solving Skills

Benefits : No benefits are available


Job Description:

In this role, you will develop general financial market knowledge and a solid understanding of the inner workings of the ADSK System. You will be tasked with utilizing your technical skillsets/problem-solving abilities to implement strategic solutions to improve customer service data quality along with team processes and workflows. In addition to the above, you will mentor new global data analysts helping to upskill them technically. Global Data Analytics is a large global team that interacts with all areas of the business, therefore the ability to effectively communicate with both technical and non-technical stakeholders is crucial to the team's success. Roles & Responsibilities:

  • Leverage data technology to analyze a variety of data to identify, measure and implement change for our product
  • Apply quantitative methods to build data-driven processes that improve ADSK workflow and Client Experience via ADSK
  • Work with other Global Data Teams and core business groups, such as Product, Sales, Enterprise, and Engineering to help develop, enhance, and manage Global Data ADSK Product
  • Have a strong working knowledge of SQL and Python, and understanding of the global data tech stack
  • Provide customer support for users of Bloomberg products such as the Professional Service, News, and Enterprise Solutions by resolving inquiries in a timely manner 
  • Communicate effectively with non-technical partners at all stages of a project, from sourcing ideas and figuring out requirements to explaining methodological decisions and modeling outcomes

Required Skills

  • A Bachelor's degree, preferably with combined studies in Information Systems and Finance or related business and, STEM fields
  • 2+ years of work experience in finance, engineering, technology, or a related field
  • Applied experience with Python and the Python scientific stack (pandas, NumPy, sci-kit-learn) and SQL
  • Experience using data visualization tools such as Tableau or QlikSense
  • Established presence in virtual development communities such as GitHub
  • Excellent written and verbal communication skills, especially when explaining technical processes and solutions to business stakeholders and management
  • Strong attention to detail and a high degree of demonstrated decision-making and problem-solving skills
  • Experience training and mentoring others
  • Ability to work both independently and in a team environment
  • Legal authorization to work full-time in the United States and will not require visa sponsorship now or in the future

Desired Skills:

  • Working knowledge of big data products such as Apache Hive, and PySPark is preferred
  • Experience of applying a methodological approach to problem-solving that impact product decision
  • Experience using statistical and machine learning methods to solve real-world problems
  • Proven ability to navigate a large organization and create solutions based on at times incomplete information.
  • Proven track record of a creative and flexible approach to problem-solving

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