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Asset Risk Placement Programme

Motability Operations Ltd
London, GBR
Temporary
Onsite
Discovered 1 months ago
Data analyticsExcelSQLPythonPower BITableau

Full Job Posting

Placement overview

Placement Data Analyst role in the Asset Risk department, focused on data, analytics, and commercial insight.

Asset Risk supports customer pricing decisions and forecasts financial risks including Residual Value, SMR, Insurance, and Economic Capital.

The placement programme lasts 12 months and includes meaningful work, personal development, and a collaborative student project.

Role responsibilities

  • Deliver and present reports, dashboards, and insights that turn data into clear narratives and decisions.
  • Support daily operations and projects in the Data Analytics & Insights team.
  • Help monitor and maintain data quality under the Data Governance Framework.
  • Assist with datasets underpinning Asset Risk activities and decisions.
  • Collaborate across Asset Risk and contribute to insights that support strategic decisions.
  • Work with other students on a project with positive impact.

Tools and development

  • The role offers experience with Snowflake, SQL, Python, Power BI, Excel, ChatGPT, Copilot, and Cortex.
  • Applicants should be confident with Excel and interested in developing data skills.
  • Exposure to data through coursework, internships, or work experience is welcomed.
  • SQL, Python, and visualization tools such as Power BI or Tableau are development areas.

Candidate profile and minimum criteria

  • Applicants should be studying in the second year of a degree that includes a year in industry and be ready to start in July 2027.
  • Applicants must be able to attend the London office at least three days a week.
  • The employer seeks curiosity, analytical problem-solving, communication skills, adaptability, teamwork, and motivation to learn.

What the placement offers

  • Practical experience on live projects in a commercial environment.
  • Mentorship, coaching, training, and learning sessions with experienced data professionals.
  • Development in data governance, forecasting, business insight, and modern data tools.
  • The programme provides opportunities to build confidence and skills for future study and work.

Recruitment process

  • The selection process includes a CV and written responses, a one-way video assessment, and a virtual interview.

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