Operations Analyst with Financial Acumen
Cisco
Mexico City, Mexico
hace 5 días

What You'll Do

The main focus of this role is to analyze data to assess business performance, identify opportunities for improving / reducing costs for Cisco.

In this role, you will be responsible for ongoing business and financial analytics which drive decision-making and represent the status of the CX Engineering & Product Management business.

Responsibilities include :

  • Gathering and investigating numerical data, assembling disparate sources of data so that CX Engineering & Product Management leaders can provide the most accurate and accessible model of the business which can drive fact-based decisions and actions.
  • Critically evaluate information gathered from various sources, reconcile conflicts, decompose high-level information into details, abstract from low-level information to a general understanding and distinguish user requests from the underlying true need.
  • Analyze data and document recommendations for process development and / or improvement.
  • Track and report key financial indicators.
  • Provide business operations support.
  • Who You Are

    You are a solid team player, demonstrating the ability to lead and / or collaborate effectively.

    You have direct experience with business-oriented data analysis and data management.

    You are able to analyze complex issues in a global environment and demonstrate success in developing / managing management reports and processes to collect and maintain business data.

    You are a self-starter who is comfortable picking things up as you go and supporting an organization which is transforming

    Our Minimum Requirements are the following :

  • Capability with analyzing data and statistics
  • Advanced Excel expertise
  • Smartsheet, Tableau and Sharepoint profiency is preferred
  • 2+ years in financial and business analysis with ability to digest and analyze financial reports
  • Experience in field services or sales operations, understanding of Cisco Services
  • Strong preference for expertise with decision modeling techniques
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