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Payoneer Operations Analytics Manager 
India, Karnataka, Bengaluru 
979269229

08.08.2024

A universe of opportunities. Open to you.

Bangalore, India

What you’ll be spending your time on:

  • Analyze source data and interpret data into patterns and trends.
  • Design, and build databases by converting Business/Ops stakeholders requirements into logical models.
  • Collaboratee closely with global data teams on all data-relevant matters.
  • Be the Point of Contact for data-relevant matters in major regional projects, participate in workshops and presentations of proposed solutions as required.
  • Create and maintain data models and databases using best practices, to ensure high data quality and reduced redundancy.
  • Perform profiling and troubleshooting of existing solutions from data perspective.
  • Assist team members by providing Ops data solutions.
  • Being part of the Center of Excellence structure, this position is expected to leverage data and analytical skills to drive strategic initiatives with other key stakeholders in the Region.
  • Work independently while in close collaboration with global ops team.

For this role you have also:

  • Individual who possesses SQL knowledge and general knowledge of data management, with experience of relational database technologies e.g., SQL Server, SSIS and SSAS
  • Expert in performance tuning/optimization, as well as bottleneck problems analysis
  • Motivated self-starter who can learn quickly in a fast-paced environment.
  • Passionate and committed professional with excellent interpersonal skills and service-oriented mindset.
  • Great team player who cares and willing to help other colleagues.
  • Excellent in verbal and written English, to work with a diverse global team.
  • Strong working knowledge in Microsoft Office
  • Bachelor's degree or above in Computer Science, Software Engineering or related majors
  • 5 years+ working experience, with 3 years+ in a data analyst relevant position.
  • Strong knowledge in data world (Strong SQL, understanding processes in RDBMS/Big Data, Hands-on Experience in Big Data Project preferred)