Sourcing Business Analyst

22 hours ago

Bengaluru, Karnataka, India C&a Sourcing International Full time ₹ 9,00,000 - ₹ 12,00,000 per year

The core purpose of this role lies in supporting and implementing sourcing analytics and business processes within the organisation. By comprehensively understanding the intricacies of our business processes, the role aims to identify areas for enhancement, thereby streamlining and optimising operational workflows. Moreover, a pivotal component involves close collaboration with internal users, process owners, third-party vendors, and various stakeholders. This engagement ensures seamless project execution and task completion, fostering a collaborative environment that drives efficiency and effectiveness across the organization.

Key Responsibilities:

  • Design and develop reports and support ad-hoc data analysis.
  • Convert unstructured data into business information.
  • Collect data from various sources, structure unstructured data, and transform it into meaningful business information.
  • Gather requirements from stakeholders and propose visualization
  • Understand business processes, source systems, and connect them for analysis.
  • Develop documentation, PowerPoint presentations, and user training materials.
  • Support regular generation of standard reports and scheduled jobs.

Knowledge, Skills and Abilities:

  • Strong analytical and problem-solving skills, and detail-oriented approach.
  • Good communication, writing, and presentation skills.
  • Strong common sense and business acumen.
  • Ability to analyse data statistically, present key findings, and articulate recommendations.
  • Capability to transform data into business insights using storytelling techniques and visualization tools like PowerPoint.
  • Creativity in designing and implementing data visualization pages.
  • Profound knowledge of SQL, PL/SQL, Python, VBA, BI tools, RPA, Sharepoint, O365 apps, database design, and metadata.
  • A solid understanding of business processes and the interdependencies of data.

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