bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesSphereData Analyst (entry-level)(UK fintech)

Data Analyst (entry-level)(UK fintech)

Sphere · London, Greater London, SE1 1UN, United Kingdom · Deleted · BambooHR

Job facts

FieldValue
CompanySphere
TitleData Analyst (entry-level)(UK fintech)
Normalized title-
Department / teamProduct
LocationLondon, Greater London
Work model-
Employment typeFull Time
Salary-
Statusdeleted
ATS providerBambooHR
Posted / first seen2026-05-18 / 2026-05-30
Changed / last seen2026-06-03 / 2026-06-01

Related slices

PageWhat it containsOpen
Company jobsActive postings from Sphere.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in London.Open
Department jobsActive postings in Product.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanySphere
Sourceed6dcb40-caf7-402c-9e67-3e3e9b35744e
ATS providerBambooHR

Description

ABOUT US We operate in the dynamic world of energy commodities trading, where information and speed are crucial for success. However, data in these markets is often fragmented and opaque, leaving participants with incomplete and poor-quality information…. Here at Sphere, we aim to bring order to this chaos by leveraging our innovative voice and AI technologies, as well as our patented Liquidity Lake, which consolidates all actionable liquidity onto one screen. Enhanced by AI insights and quantitative analytics, our platform is designed to support even the most skilled traders; See more.  Win more. THE OPPORTUNITY Quality is at the core of everything we do at Sphere, and so making sure our data correct is right at the heart of our success.  You will be making sure of the accuracy of our data, and helping to train our AI to keep it up to speed and focused on what we need! This role will involve plenty of training and support to make sure you have all the tools you’ll need, but even as an entry-level role, you will be given a high level of autonomy to make a real difference. We need to ensure our software exceeds customer expectations, so you will need to deliver high-quality trading solutions, working closely with our engineering and product teams, setting you up with a really broad knowledge base to set you up for what may then come next in your career. KEY RESPONSIBILITIES Test Case Creation: Develop detailed and comprehensive test cases to train our Natural Language Processing (NLP) engine, utilised by the world’s largest commodity trading firms. Bug Identification: Identify and report bugs that automation tests may have missed, gaining exposure and training in the refined oil trading sector. User Stories: Create detailed and comprehensive test cases based on user stories. Collaboration: Work closely with engineering and product teams to ensure seamless integration and high-quality outputs. WHAT WE’RE LOOKING FOR IN YOU You’ll need to be numerically minded, ideally from a mathematical degree (or similar), and keen to keep numbers at the heart of your everyday Adopting an analytical approach to problem solving is going to be something you absolutely thrive at, analysing data, and producing succinct outputs that can be utilised by different internal teams Your tech/coding skills will also need to be on point, so we’re looking someone who can apply a knowledge of Python, Matlab (or others) to the way in which they analyse and dive into data Your verbal communication skills will need to be on point, as you’re part of a small team that will put the need to work together at the core of its success Working in a growing fintech, a genuine interest in technology and AI will give you a great foundation for success WHY JOIN SPHERE Innovative Impact: We are fundamentally transforming the commodities trading landscape. By joining Sphere, you will work with cutting-edge technologies and collaborate with some of the largest commodity trading firms globally. Career Growth: Experience exponential growth and be part of an organization where your contributions are visible and impactful. Competitive Package: Benefit from a competitive remuneration package, including participation in the firm’s equity through our HMRC-approved EMI employee options scheme in a rapidly growing, high-potential business. Professional Development: Gain access to continuous learning opportunities and professional development programs tailored to your career growth. Flexible Work Environment: Enjoy a flexible working environment that promotes a healthy work-life balance. Company Culture: Be part of a supportive and innovative company culture that values diversity, inclusivity, and teamwork. Here at Sphere, we believe that diversity drives innovation and excellence. We’re proud to be an equal opportunities employer and are committed to fostering a workplace where everyone feels respected, supported, and empowered to be their authentic selves.  All qualified applicants will be considered without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age.

Full job record

Job IDb7d63e07acccd9035dacce4b5194fd67c49883a4
Org ID0968f68b-7bbf-46d9-802f-a2040b8db5aa
Source IDed6dcb40-caf7-402c-9e67-3e3e9b35744e
Board IDed6dcb40-caf7-402c-9e67-3e3e9b35744e
Providerbamboohr
Provider Job Key43
TitleData Analyst (entry-level)(UK fintech)
Normalized Title
Statusdeleted
Activeno
Location TextLondon, Greater London, SE1 1UN, United Kingdom
DepartmentProduct
Team
Employment Typefull_time
Workplace Type
Remote Policy
Country
RegionGreater London
CityLondon
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://sphere.bamboohr.com/careers/43
Apply URLhttps://sphere.bamboohr.com/careers/43
First Seen At2026-05-30 06:10:55Z
Last Seen At2026-06-01 12:18:58Z
Last Checked At2026-06-03 10:39:12Z
Last Changed At2026-06-03 10:39:12Z
Inactive At2026-06-03 10:39:12Z
Source Posted At2026-05-18 00:00:00Z
Source Updated At
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=bamboohr/board=sphere/date=2026-06-01/2026-06-01T12-18-57-346Z-873acbb73977817dfd5744d8e63c0be9fef2cfdd891ccd243249cbcf141e3ca1.json
Event Fields
{
  "content_hash": "30f00024bfd465e587b463b85347e75776bf6eeab2f32e11c1c14bb2eb05588e",
  "source_hash": "f3588696c560b0d5ca0468329c627f057806d7331bcde7f75ad43251c36e7d2e",
  "last_changed_at": "2026-06-03T10:39:12.727Z",
  "active_status": "deleted"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "London, Greater London, SE1 1UN, United Kingdom",
    "city": "London",
    "region": "Greater London",
    "country": null,
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-01T12:18:58.691Z",
  "launch_scope": {
    "reason": "bamboohr_production_catalog",
    "included": true,
    "location": {
      "raw": "London, Greater London, SE1 1UN, United Kingdom",
      "city": "London",
      "region": "Greater London",
      "country": null,
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": []
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}
Extensions
{}
Native Structured
{
  "list_job": {
    "id": "43",
    "isRemote": null,
    "location": {
      "city": "London",
      "state": "Greater London"
    },
    "atsLocation": {
      "city": null,
      "state": null,
      "country": null,
      "province": null
    },
    "departmentId": "18587",
    "locationType": "2",
    "jobOpeningName": "Data Analyst (entry-level)(UK fintech)",
    "departmentLabel": "Product",
    "employmentStatusLabel": "Full-Time"
  },
  "detail_errors": [],
  "detail_job_opening": {
    "location": {
      "city": "London",
      "state": "Greater London",
      "postalCode": "SE1 1UN",
      "addressCountry": "United Kingdom"
    },
    "datePosted": "2026-05-18",
    "atsLocation": {
      "city": null,
      "state": null,
      "country": null,
      "countryId": null
    },
    "description": "<p><span style=\"font-size: 12pt\">ABOUT US </span></p>\n<p> </p>\n<p>We operate in the dynamic world of energy commodities trading, where information and speed are crucial for success. However, data in these markets is often fragmented and opaque, leaving participants with incomplete and poor-quality information….</p>\n<p>Here at Sphere, we aim to bring order to this chaos by leveraging our innovative voice and AI technologies, as well as our patented Liquidity Lake, which consolidates all actionable liquidity onto one screen. Enhanced by AI insights and quantitative analytics, our platform is designed to support even the most skilled traders; See more.  Win more.</p>\n<p><span> </span></p>\n<p><span>THE OPPORTUNITY</span></p>\n<p> </p>\n<p>Quality is at the core of everything we do at Sphere, and so making sure our data correct is right at the heart of our success.  You will be making sure of the accuracy of our data, and helping to train our AI to keep it up to speed and focused on what we need!</p>\n<p> </p>\n<p>This role will involve plenty of training and support to make sure you have all the tools you’ll need, but even as an entry-level role, you will be given a high level of autonomy to make a real difference.</p>\n<p> </p>\n<p>We need to ensure our software exceeds customer expectations, so you will need to deliver high-quality trading solutions, working closely with our engineering and product teams, setting you up with a really broad knowledge base to set you up for what may then come next in your career.</p>\n<p><span> </span></p>\n<p><span>KEY RESPONSIBILITIES </span></p>\n<p><span> </span></p>\n<ul>\n<li><span style=\"font-weight: bold\">Test Case Creation:</span> Develop detailed and comprehensive test cases to train our Natural Language Processing (NLP) engine, utilised by the world’s largest commodity trading firms.</li>\n<li><span style=\"font-weight: bold\">Bug Identification:</span> Identify and report bugs that automation tests may have missed, gaining exposure and training in the refined oil trading sector.</li>\n<li><span style=\"font-weight: bold\">User Stories:</span> Create detailed and comprehensive test cases based on user stories.</li>\n<li><br><span style=\"font-weight: bold\">Collaboration:</span> Work closely with engineering and product teams to ensure seamless integration and high-quality outputs.</li>\n</ul>\n<p><span> </span></p>\n<p><span>WHAT WE’RE LOOKING FOR IN YOU</span></p>\n<p><span> </span></p>\n<ul>\n<li>You’ll need to be numerically minded, ideally from a mathematical degree (or similar), and keen to keep numbers at the heart of your everyday</li>\n<li>Adopting an analytical approach to problem solving is going to be something you absolutely thrive at, analysing data, and producing succinct outputs that can be utilised by different internal teams</li>\n<li>Your tech/coding skills will also need to be on point, so we’re looking someone who can apply a knowledge of Python, Matlab (or others) to the way in which they analyse and dive into data</li>\n<li>Your verbal communication skills will need to be on point, as you’re part of a small team that will put the need to work together at the core of its success</li>\n<li>Working in a growing fintech, a genuine interest in technology and AI will give you a great foundation for success</li>\n</ul>\n<p><span> </span></p>\n<p><span>WHY JOIN SPHERE</span></p>\n<p><span> </span></p>\n<ul>\n<li><span style=\"font-weight: bold\">Innovative Impact:</span> We are fundamentally transforming the commodities trading landscape. By joining Sphere, you will work with cutting-edge technologies and collaborate with some of the largest commodity trading firms globally.</li>\n<li><span style=\"font-weight: bold\">Career Growth:</span> Experience exponential growth and be part of an organization where your contributions are visible and impactful.</li>\n<li><span style=\"font-weight: bold\">Competitive Package:</span> Benefit from a competitive remuneration package, including participation in the firm’s equity through our HMRC-approved EMI employee options scheme in a rapidly growing, high-potential business.</li>\n<li><span style=\"font-weight: bold\">Professional Development:</span> Gain access to continuous learning opportunities and professional development programs tailored to your career growth.</li>\n<li><span style=\"font-weight: bold\">Flexible Work Environment:</span> Enjoy a flexible working environment that promotes a healthy work-life balance.</li>\n<li><span style=\"font-weight: bold\">Company Culture:</span> Be part of a supportive and innovative company culture that values diversity, inclusivity, and teamwork.</li>\n</ul>\n<p> </p>\n<p>Here at Sphere, we believe that diversity drives innovation and excellence. We’re proud to be an equal opportunities employer and are committed to fostering a workplace where everyone feels respected, supported, and empowered to be their authentic selves.  All qualified applicants will be considered without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age.</p>",
    "compensation": "£35k + Benefits",
    "departmentId": "18587",
    "locationType": "2",
    "seekPromoted": false,
    "jobCategoryId": null,
    "jobOpeningName": "Data Analyst (entry-level)(UK fintech)",
    "departmentLabel": "Product",
    "jobOpeningStatus": "Open",
    "minimumExperience": "Entry-level",
    "jobOpeningShareUrl": "https://sphere.bamboohr.com/careers/43",
    "employmentStatusLabel": "Full-Time"
  }
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/b7d63e07acccd9035dacce4b5194fd67c49883a4?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/0968f68b-7bbf-46d9-802f-a2040b8db5aaJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/ed6dcb40-caf7-402c-9e67-3e3e9b35744eJSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/b7d63e07acccd9035dacce4b5194fd67c49883a4/eventsJSON