—
We are seeking a Data Analyst to join our growing Data & Analytics team—the powerhouse behind data-driven decision making across the company. In this role, you’ll work closely with product, engineering, commercial, and operations teams to provide insights, build dashboards, and ensure data is accessible and actionable. You’ll help design experiments, measure outcomes, and contribute to AI and internal productivity initiatives, making data a true competitive advantage for the organisation. KEY RESPONSIBILITIES Analysis and insights Conduct deep-dive analyses to identify trends, opportunities, and risks across product, customer, and business data. Support strategic decisions by providing actionable insights to product, engineering, commercial, and operations teams. Build and maintain dashboards and reports in Power BI (and potential other BI tools). Create clear and compelling data visualizations that make insights accessible to non-technical stakeholders. Ensure consistent definitions, documentation, and data integrity across reporting. Track and measure the impact of AI-powered features and internal productivity tools. Data accessibility and enablement Promote data literacy across teams through training and knowledge-sharing. Proven ability to work within a structured request system, prioritize competing requests, clearly communicate timelines, and collaborate with stakeholders to clarify the objective behind each data request. Work closely with engineering to ensure reliable, clean, and well-structured data pipelines. Support the Data Science & Analytics Manager in delivering cross-company data initiatives. 2-4 years in data/analytics, with exposure to data engineering or ML workflows • Strong proficiency in SQL and Excel • Has influenced senior stakeholders using data • Evidence of owning projects end-to-end rather than only executing tasks • Experience working with modern data platforms (Snowflake, BigQuery, Databricks) • Experience with Python • Interest in AI and how analytics can support emerging technologies SQL at an advanced level, comfortable writing transformations and optimising queries Experience with a modern analytics stack (DBT, cloud warehouse, BI tool) Ability to translate ambiguous business questions into structured analysis Strong written communication in a remote-first team Basic data engineering principles (pipelines, version control, testing) Commercial awareness — understands metrics like LTV, CAC, churn Experimentation mindset — understands A/B testing, causal thinking, and KPI development. Clear storytelling with data Certification in a cloud platform (Azure, AWS, GCP) Certification in Power BI, Tableau, or similar Data Build Tool fundamentals or equivalent 30 days' holiday per year (inclusive of UK bank holidays) • 100% remote & flexible working #LI-Remote • Social events and annual meet ups
| Skill | Source | Confidence |
|---|---|---|
| Python | llm_hard |
100%
|
| SQL | llm_hard |
100%
|
| Power BI | llm_hard |
100%
|
| A/B Testing | llm_hard |
100%
|
| Report Generation | llm_hard |
100%
|
| Excel (Advanced) | llm_hard |
100%
|
| Business Analytics | llm_hard |
100%
|
| KPI Development | llm_hard |
100%
|
| Dashboard Creation | llm_hard |
100%
|
| Data Wrangling | llm_hard |
80%
|
| Data Cleaning | llm_hard |
80%
|
| Skill | Source | Confidence |
|---|---|---|
| Initiative | llm_soft |
100%
|
| Self-Motivation | llm_soft |
100%
|
| Written Communication | llm_soft |
100%
|
| Cross-Functional Communication | llm_soft |
100%
|
| Stakeholder Communication | llm_soft |
100%
|
| Documentation | llm_soft |
100%
|
| Storytelling | llm_soft |
100%
|
| Teamwork | llm_soft |
100%
|
| Collaboration | llm_soft |
100%
|
| Problem-Solving | llm_soft |
100%
|
| Critical Thinking | llm_soft |
100%
|
| Analytical Thinking | llm_soft |
100%
|
| Self-Management | llm_soft |
100%
|
| Attention to Detail | llm_soft |
100%
|
| Presentation Skills | llm_soft |
80%
|
| Adaptability | llm_soft |
80%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Python Data Analyst Remote | extracted | 6753 | 2026-03-22 01:32 | |
| Python Data Analyst Remote | classified | 474 | 2026-03-21 20:34 | |
| junior data scientist in London | gb | duplicate | 15834 | 2026-03-21 16:54 |
| junior data scientist in London | gb | duplicate | 15834 | 2026-03-21 16:54 |
| graduate data analyst in London | gb | duplicate | 13544 | 2026-03-21 16:45 |
| junior reporting analyst in London | gb | processed | 20659 | 2026-03-21 16:29 |
{
"job_id": "CgPcGm495B04_qBUAAAAAA==",
"job_city": "London",
"job_state": null,
"job_title": "Python Data Analyst Remote",
"job_salary": null,
"job_country": "GB",
"job_benefits": null,
"job_latitude": 51.5072178,
"job_location": "London",
"job_onet_soc": "43911100",
"apply_options": [
{
"is_direct": false,
"publisher": "Jooble",
"apply_link": "https://uk.jooble.org/rjdp/-4878158829500478734?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
},
{
"is_direct": null,
"publisher": "Jooble",
"apply_link": "https://uk.jooble.org/rjdp/-4878158829500478734"
}
],
"employer_logo": null,
"employer_name": "Wordwall",
"job_is_remote": false,
"job_longitude": -0.12758619999999998,
"job_posted_at": "24 days ago",
"job_publisher": "Jooble",
"job_apply_link": "https://uk.jooble.org/rjdp/-4878158829500478734?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": "We are seeking a Data Analyst to join our growing Data & Analytics team—the powerhouse behind data-driven decision making across the company. In this role, you’ll work closely with product, engineering, commercial, and operations teams to provide insights, build dashboards, and ensure data is accessible and actionable. You’ll help design experiments, measure outcomes, and contribute to AI and internal productivity initiatives, making data a true competitive advantage for the organisation.\nKEY RESPONSIBILITIES Analysis and insights\nConduct deep-dive analyses to identify trends, opportunities, and risks across product, customer, and business data.\nSupport strategic decisions by providing actionable insights to product, engineering, commercial, and operations teams.\nBuild and maintain dashboards and reports in Power BI (and potential other BI tools).\nCreate clear and compelling data visualizations that make insights accessible to non-technical stakeholders.\nEnsure consistent definitions, documentation, and data integrity across reporting.\nTrack and measure the impact of AI-powered features and internal productivity tools.\nData accessibility and enablement\nPromote data literacy across teams through training and knowledge-sharing.\nProven ability to work within a structured request system, prioritize competing requests, clearly communicate timelines, and collaborate with stakeholders to clarify the objective behind each data request.\nWork closely with engineering to ensure reliable, clean, and well-structured data pipelines.\nSupport the Data Science & Analytics Manager in delivering cross-company data initiatives.\n2-4 years in data/analytics, with exposure to data engineering or ML workflows\n• Strong proficiency in SQL and Excel\n• Has influenced senior stakeholders using data\n• Evidence of owning projects end-to-end rather than only executing tasks\n• Experience working with modern data platforms (Snowflake, BigQuery, Databricks)\n• Experience with Python\n• Interest in AI and how analytics can support emerging technologies\n\nSQL at an advanced level, comfortable writing transformations and optimising queries\nExperience with a modern analytics stack (DBT, cloud warehouse, BI tool)\nAbility to translate ambiguous business questions into structured analysis\nStrong written communication in a remote-first team\nBasic data engineering principles (pipelines, version control, testing)\nCommercial awareness — understands metrics like LTV, CAC, churn\nExperimentation mindset — understands A/B testing, causal thinking, and KPI development.\nClear storytelling with data\nCertification in a cloud platform (Azure, AWS, GCP)\nCertification in Power BI, Tableau, or similar\nData Build Tool fundamentals or equivalent\n\n30 days' holiday per year (inclusive of UK bank holidays)\n• 100% remote & flexible working #LI-Remote\n• Social events and annual meet ups",
"job_google_link": "https://www.google.com/search?q=jobs&gl=gb&hl=en&udm=8#vhid=vt%3D20/docid%3DCgPcGm495B04_qBUAAAAAA%3D%3D&vssid=jobs-detail-viewer",
"employer_website": "https://wordwall.net",
"job_onet_job_zone": "4",
"job_salary_period": null,
"job_apply_is_direct": false,
"job_employment_type": "Full–time",
"job_employment_types": [
"FULLTIME"
],
"job_posted_at_timestamp": 1771977600,
"job_posted_at_datetime_utc": "2026-02-25T00:00:00.000Z"
}