Payoneer Operations Analytics Manager 

India, Karnataka, Bengaluru 

979269229

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)