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Procurement Data Analyst (Fixed Term)

University of Cambridge - Finance Division

Location: Cambridge
Salary: £33,966 to £44,263
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 18th March 2024
Closes: 2nd April 2024
Job Ref: AG40445

Join Our Team as a Procurement Data Analyst at the University of Cambridge!

Are you passionate about transforming raw data into meaningful insights? Do you thrive in a dynamic environment where your analytical skills can make a real impact? If so, we have an exciting opportunity for you to become a key player in our Procurement team!

At the University of Cambridge, we believe in the power of data to drive informed decision-making. Our Procurement team is at the forefront of this, and we're looking for a talented individual to join us as a Procurement Data Analyst. As a world-renowned institution, we are committed to excellence in education and research, and your role will be crucial in supporting these objectives.

Responsibilities

  • Data Retrieval and Analysis: Gather, cleanse, and analyze data from various Procurement and Finance tools to create reliable, fact-based reporting for the Procurement team and the wider organization.
  • Strategic Opportunity Identification: Utilize data to find and quantify tactical and strategic opportunities. Proactively engage in projects, identifying areas for improvement and supporting cost efficiency opportunities.
  • Data Management: Develop and execute modelling and cleansing plans, ensuring alignment of people, processes, and systems. Manage data from start to finish, including planning, execution, and validation.
  • Stakeholder Collaboration: Collaborate with internal stakeholders to identify requirements and define data management objectives. Contribute to the development of analytics offerings, ensuring they remain attractive, credible, and relevant.
  • Product Development: Contribute to analytics product development and staged releases in line with the Data Analytics Framework, including Descriptive, Diagnostic, Predictive, and Prescriptive Analytics.

Requirements

You will have:

  • Proven experience in data retrieval, cleansing, and analysis.
  • Strong analytical and problem-solving skills.
  • Familiarity with data cleansing methodologies.
  • Proficiency in tools such as Power BI.

What we offer

  • Opportunity to work in a prestigious institution.
  • Professional development and growth opportunities.
  • Engaging and collaborative team environment.
  • Competitive salary and benefits package.

Additional Benefits

  • 41 days annual leave, inclusive of Bank Holidays
  • Defined benefits pension schemes
  • Flexible working options
  • Family-friendly initiatives
  • Career development opportunities
  • Support for health & mental wellbeing

If you are a highly motivated and inquisitive individual with a passion for data analytics, we want to hear from you! Join us on our mission to simplify processes, enhance accuracy, and drive governance in the world of procurement at the University of Cambridge.

Apply now and be a part of a team that believes in the power of data to shape the future!

Location

The University is supportive of hybrid working, where some work is undertaken on University premises and some in a remote working environment. The aim of our approach is to enable as many staff as possible to work in a hybrid way if they wish and where their role allows. This arrangement is subject to change and will not form a part of the contractual terms of the role. 

Fixed-term: The funds for this post are available for 2 years.

Once an offer of employment has been accepted, the successful candidate will be required to undergo a basic disclosure and a security check. We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.

First Interview Date: Wednesday 17th/Thursday 18th April 2024

Second Interview Date: Wednesday 1st/Thursday 2nd May 2024

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

 

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