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Senior Data Analyst

2 months ago

Hong Kong, Central and Western District, Hong Kong SAR China Bloomberg Full time
About the Role

We are seeking a highly motivated Senior Data Analyst to join our Fixed Income Corporate Actions Data team at Bloomberg. As a key member of our team, you will play a crucial role in expanding our corporate actions databases to deliver an industry-leading data product offering.

Key Responsibilities
  • Collaborate with global team members, domain experts, and business partners to manage priorities and drive decisions
  • Research new data sets to expand the coverage of our products and implement quality control strategies
  • Contribute to the creation of best practices and guidelines for data governance and balance technical and product knowledge to implement solutions for customers
  • Proactively support customers by helping them interpret data and predicting their follow-up questions/needs
  • Apply problem-solving and data analysis skills to identify innovative workflow efficiencies and implement technology solutions to enhance our processes/overall product strategy
Requirements
  • Bachelor's degree in Finance, Accounting, Statistics, Business, STEM, or related field/equivalent experience
  • Demonstrated continuous career growth within an organization
  • Strong presentation and communication skills in English
  • 4+ years of relevant work experience in the financial services industry, including exchanges, market data providers or financial institutions
  • Experience working with data management paradigms and associated tools and technologies, such as the management, governance or quality assurance of data
  • Experience working with ETL processes and broader data workflow engineering concepts
  • Ability to take a logical approach and apply critical thinking skills in order to tackle problems
  • Comfortable with a high degree of autonomy, with the ability to handle priorities from multiple internal and external partners
  • Ability to adapt within a fast-paced and dynamic environment
  • Proven customer service skills
Preferred Qualifications
  • Master's degree in relevant field and/or CFA designation (or working towards it)
  • Knowledge of statistical analysis and demonstrated applied data analysis skills, with proficiency using Excel as well as experience with SQL or Python
  • Experience using data visualization tools such as Tableau, QlikSense or Splunk
  • Experience transforming workflows into more timely and efficient processes