Senior Data Annotation Analyst - Dialogue Labeling and Annotation Management Job at Bloomberg, Skillman, NJ

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  • Bloomberg
  • Skillman, NJ

Job Description

Description & Requirements

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining our domain and technical expertise to make our data fit-for-purpose, timely and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to better handle our data.

The Role:

As a Senior Data Annotation Analyst on our Dialogue Labeling and Annotation Management team (DLAM), you will be responsible for project coordination, prioritization, mentorship, coaching and execution of strategic business objectives. This role has a key focus on annotation management and partners with our Core Product team. We'll trust you to become a product owner and understand the downstream usage of our data and use that knowledge to advise potential annotation changes. You will develop deep domain expertise in text annotation of financial instruments and will perform quality evaluation of annotation results produced by yourself and contract workers. This role will require you to collaborate across data teams as your team will serve as a resource for outside groups that require expertise and training in annotation management. Doing so will require critical thinking and collaboration across Data, Product and Engineering teams.

You'll need to have:

  • Bachelor's degree in Finance, Economics, Linguistics. or relevant degree/equivalent experience
  • 4+ years of data management experience, for example improving data quality, accuracy, efficiency or timeliness
  • Demonstrated project, work experience or coursework that shows your knowledge in the financial markets
  • Experience with one or more of the following asset classes: Fixed Income, Equities, and Foreign Exchange products
  • Experience working with annotation schemas, edge cases, guideline development and maintenance, and semantic analysis
  • Demonstrated interest or experience with data analysis
  • Excellent written, communication, and presentation skills
  • Strong organizational skills with the ability to balance multiple projects simultaneously
  • A high-level proficiency with business intelligence/data visualization tools, preferably QlikSense
  • Ability to work in the US without visa sponsorship now or in the future

We'd love to see:

  • Experience transforming workflows into a more timely and efficient process
  • Strong desire to structure and systemize processes, and motivation to push both existing and new workflows in that direction
  • Experience using native language skills to capture various forms of linguistic utterances with high accuracy
  • Experience working with human in the loop workflows

Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps.

Salary Range = 85000 - 105000 USD Annually + Benefits

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation, [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

Job Tags

Holiday work, Contract work, Temporary work, For contractors, Work experience placement, Visa sponsorship,

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