{
  "job_id": "G3zusbmg3TBVnlivAAAAAA==",
  "job_city": "Manchester",
  "job_state": null,
  "job_title": "Graduate Insights Analyst",
  "job_country": "GB",
  "job_benefits": null,
  "job_latitude": 53.480759299999995,
  "job_location": "Manchester",
  "job_onet_soc": "43911100",
  "apply_options": [
    {
      "is_direct": false,
      "publisher": "Jobijoba UK",
      "apply_link": "https://www.jobijoba.co.uk/detail/92/eb1b8278a204c52fb39bc4fa99677cf0?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
    },
    {
      "is_direct": false,
      "publisher": "BeBee GB",
      "apply_link": "https://gb.bebee.com/job/13ca06b9960242d499f0e5a426f3d4f2?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
    },
    {
      "is_direct": false,
      "publisher": "Manchester Jobs - UJob",
      "apply_link": "https://manchester.ujob.uk/jobs/view/2029268.html?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
    },
    {
      "is_direct": false,
      "publisher": "Hunt UK Visa Sponsors",
      "apply_link": "https://huntukvisasponsors.com/job/graduate-insights-analyst-at-axa-uk-coujt2ycabpt?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
    },
    {
      "is_direct": null,
      "publisher": "Jobijoba UK",
      "apply_link": "https://www.jobijoba.co.uk/detail/92/eb1b8278a204c52fb39bc4fa99677cf0"
    }
  ],
  "employer_logo": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRCGWOfsweWb7NZdzdoXFAAWaWccKhlLSUOYJLu&s=0",
  "employer_name": "AXA",
  "job_is_remote": false,
  "job_longitude": -2.2426304999999997,
  "job_posted_at": "5 days ago",
  "job_publisher": "Jobijoba UK",
  "job_apply_link": "https://www.jobijoba.co.uk/detail/92/eb1b8278a204c52fb39bc4fa99677cf0?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
  "job_highlights": {},
  "job_max_salary": null,
  "job_min_salary": null,
  "job_description": "Description\n\nAre you passionate about data and keen to kick-start your career in analytics? We’re looking for a motivated individual to join our team as a Graduate Insights Analyst. You’ll learn how to develop high-quality, robust data and analytics using tools like Databricks, Python, and GIT. You’ll support the design and development of scalable data models, write efficient code, and help produce datasets and reporting to support a data-driven business. This is a fantastic chance to build your skills in data and storytelling to help our business make informed decisions.\n\nAt AXA we work smart, empowering our people to balance their time between home and the office in a way that works best for them, their team and our customers. You'll work at least two days a week (40%) away from home, moving to three days a week (60%) in the future. Away from home means either attendance at one of our office locations, visiting clients or attending industry events. We’re also happy to consider flexible working arrangements, which you can discuss with Talent Acquisition.\n\nWhat you’ll be doing\n• Assist in building and maintaining data pipelines and models in Databricks using Python\n• Create data visualisations in Power BI\n• Support the team to follow technical standards, best coding practices, and version control procedures\n• Gain knowledge in insurance data metrics and reporting\n• Help to deliver reports and insights within agreed timescales\n• Use tools like GIT and DevOps to track your work and manage version control\n• Communicate with stakeholders to understand their requirements, with guidance from senior team members\n• Keep up-to-date with new technologies and industry developments to improve your skills and stay current in analytics and cloud computing\n\nDue to the number of applications, we expect to receive for this role, we reserve the right to close this advert earlier than the listed closing date to ensure we’re able to effectively manage interest. Therefore, if you’re interested in joining us at AXA, please don’t hesitate to apply.\n\nWhat you’ll bring\n• Experience of Python (or other coding languages such as R or SQL)\n• Desirable: Experience using a visualisation tool like Power BI\n• Analytical mindset with the ability to interpret data and tell a story through your findings\n• Organisational skills and the ability to manage deadlines and multiple tasks\n• Confidence to present your work clearly to different audiences\n• Knowledge of risk, conduct, or service functions and reporting\n• Interest understanding of how business operations work and the key metrics that drive insights\n\nAs a precondition of employment for this role, you must be eligible and authorised to work in the United Kingdom.\n\nWhat we offer\n• Competitive annual salary of £28,000 - £30,000 dependent on experience\n• Annual company & performance-based bonus\n• Contributory pension scheme (up to 12% employer contributions)\n• Life Assurance (up to 10 x annual salary)\n• Private medical cover\n• 25 days annual leave plus Bank Holidays\n• Opportunity to buy up to 5 extra days leave or sell up to 5 days leave\n• Wellbeing services & resources\n• AXA employee discounts\n\nTo apply, click on the ‘apply for this job’ button, you’ll then need to log in or create a profile to submit your CV. We’re proud to be an Equal Opportunities Employer and don’t discriminate against employees or potential employees based on protected characteristics. If you have a long-term condition or disability and require adjustments during the application or interview process, we’re proud to offer access to the AXA Accessibility Concierge. For our support, please send an email to leanne.white@axa-insurance.co.uk.\n\nWho we are\n\nAXA Retail helps people live the life they love, knowing we’ve got their back, at home and on the road. Our people are vital to us becoming more digital, faster and easier to access. We’re a dynamic team of experts completely committed to making sure our customers ‘get back to the good stuff’ when the unexpected happens.\n\n#J-18808-Ljbffr",
  "job_google_link": "https://www.google.com/search?q=jobs&gl=gb&hl=en&udm=8#vhid=vt%3D20/docid%3DG3zusbmg3TBVnlivAAAAAA%3D%3D&vssid=jobs-detail-viewer",
  "employer_website": null,
  "job_onet_job_zone": "4",
  "job_salary_period": "YEAR",
  "job_apply_is_direct": false,
  "job_employment_type": "Full–time",
  "job_employment_types": [
    "FULLTIME"
  ],
  "job_posted_at_timestamp": 1773619200,
  "job_posted_at_datetime_utc": "2026-03-16T00:00:00.000Z"
}