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Business Operations Data Analyst Placement
  • Python
  • Machine Learning
  • Database
  • Data Mining
  • Data Visualization
Intel
Swindon
146 days ago
Job Description

As part of this 13 months placement as a Business Operations Data Analyst, your role and responsibilities include support of the following but not limited to:

  • data mining and cleaning of a wide range of financial and non-financial information from several diverse areas
  • perform data analytics such as descriptive analytics (including data visualization) and predictive analytics (where applicable)
  • apply data science principles and practices in support of business decision making including AB testing
  • perform financial and operational audits to enhance internal controls and operational process improvements
  • ensure appropriate financial controls and business processes are in place to protect the assets of the corporation


Qualifications

This is a 13 month fixed-term placement suitable for students currently studying MSc in Data Science and is targeted at 2nd year students enrolled in a 2 year full-time MSc degree (with placement) which includes a year in industry.

Solid technical knowledge of data science principles and practices, data mining & cleaning, machine learning, practical business analytics, database systems

  • Communication and presentation skills
  • Knowledge/experience in Python or R programming language & libraries
  • Experience in Finance is an advantage but is not required

Inside this Business Group

Intel's Sales and Marketing (SMG) organization works with global customers and partners to solve critical business problems with Intel based technology solutions. SMG works across business units to amplify the customers voice and deliver solutions that accelerate their business. Our teams work across the entire sales cycle, pushing ingredient products to our "billings" customers while also pulling end solutions through to "consumption". We work across numerous industries, including retail, enterprise and government, cloud services and healthcare as examples. The operations team focuses on forecasting, driving alignment with factory production and delivering efficiency tools and our marketing capability drives demand and localized marketing in locations around the globe. Our sales force navigates a complex partner and customer ecosystem while shaping product roadmaps, driving value for our customers, and collaborating to harness emerging technology trends to deliver comprehensive solutions.

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