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KI

Data Analyst

KI

Data Analyst at Ki, developing data models, reports, and analytics-driven products in a cross-functional team environment. Driving insights for strategic business goals within a rapidly growing insurance carrier.

Posted 5/18/2026full-timeCity of London • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
CloudGoogle Cloud PlatformPythonSQLTableau

About the role

Key responsibilities & impact
  • Develop knowledge and expertise in Ki’s business domains to generate insights and measurement on initiatives that drive company objectives.
  • Collaborate with business stakeholders to identify opportunities for leveraging data analytics to drive commercial results and improve operational efficiency.
  • Identify opportunities to leverage data analytics techniques to extract value from both internal and external data assets to enrich analytical capabilities.
  • Develop and maintain the core data sets underlying the suite of analytical tools used by the team
  • Create and maintain data visualizations and dashboards using tools such as Tableau, Power BI, or similar.
  • Develop scalable data solutions that conform to Ki’s technology and engineering principles and industry best practice.
  • Preserve the integrity of data, making sure it is accurate, consistent, and reliable throughout its lifecycle.
  • Investigate and lead timely resolution of emerging issues with underlying data systems and models as and when these arise.
  • Ensure that domain data is managed and used according to Ki’s data governance policy and best practice principles.
  • Ensure all data systems and models are documented in line with Ki wide standards
  • Recommend ways to improve data efficiency and reliability
  • Increase the degree of automation within the team’s data systems and tools
  • Investigate new tools that would help the team store, structure and analyse data.

Requirements

What you’ll need
  • Proficiency in SQL and Python to manipulate and analyse datasets
  • Experience with data reporting and visualisation tools (e.g. Tableau, Looker, Dash, Streamlit)
  • Solid understanding of statistical techniques (e.g. regression, clustering, correlation analysis), with ability to apply these to commercial problem solving.
  • Experience working in cloud native environments (especially GCP) would be plus.
  • Experience with designing and implementation of data structures to ensure ease of use and accessibility by a broader audience.
  • Self-organised, good at documenting and communicating findings and approach.
  • Excellent communicator, able to present complex analysis to both technical and non-technical audiences.
  • Experience working in a regulated industry

Benefits

Comp & perks
  • 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account KI Website LinkedIn All Job Openings 1001 - 5000 employees Founded 1941 📚 Education 🤝 B2B Education
  • B2B KI is a commercial furniture manufacturer and solutions provider specializing in learning, workplace, healthcare, and institutional environments. The company designs, engineers and supplies a broad range of contract furniture — including seating, tables, desks, casegoods, architectural walls and integrated media/flexible workspace systems — plus design tools, specification services and custom/modification programs. KI supports K–12 and higher education, corporate, government and healthcare markets with showroom locations, digital planning tools (e. g. , Classroom Planner, See It Spec It), continuing education content, sustainability initiatives and partnerships focused on social impact. KI is headquartered in Green Bay, Wisconsin. Data Analyst 🔥 10 minutes ago 🏢🏡 City of London – Hybrid ⏰ Full Time 🟡 Mid-level 🟠 Senior 📉 Data Analyst 🇬🇧 UK Skilled Worker Visa Sponsor Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
  • Develop knowledge and expertise in Ki’s business domains to generate insights and measurement on initiatives that drive company objectives.
  • Collaborate with business stakeholders to identify opportunities for leveraging data analytics to drive commercial results and improve operational efficiency.
  • Identify opportunities to leverage data analytics techniques to extract value from both internal and external data assets to enrich analytical capabilities.
  • Develop and maintain the core data sets underlying the suite of analytical tools used by the team
  • Create and maintain data visualizations and dashboards using tools such as Tableau, Power BI, or similar.
  • Develop scalable data solutions that conform to Ki’s technology and engineering principles and industry best practice.
  • Preserve the integrity of data, making sure it is accurate, consistent, and reliable throughout its lifecycle.
  • Investigate and lead timely resolution of emerging issues with underlying data systems and models as and when these arise.
  • Ensure that domain data is managed and used according to Ki’s data governance policy and best practice principles.
  • Ensure all data systems and models are documented in line with Ki wide standards
  • Recommend ways to improve data efficiency and reliability
  • Increase the degree of automation within the team’s data systems and tools
  • Investigate new tools that would help the team store, structure and analyse data. 🎯 Requirements
  • Proficiency in SQL and Python to manipulate and analyse datasets
  • Experience with data reporting and visualisation tools (e.g. Tableau, Looker, Dash, Streamlit)
  • Solid understanding of statistical techniques (e.g. regression, clustering, correlation analysis), with ability to apply these to commercial problem solving.
  • Experience working in cloud native environments (especially GCP) would be plus.
  • Experience with designing and implementation of data structures to ensure ease of use and accessibility by a broader audience.
  • Self-organised, good at documenting and communicating findings and approach.
  • Excellent communicator, able to present complex analysis to both technical and non-technical audiences.
  • Experience working in a regulated industry Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools
SQLPythondata reportingdata visualizationstatistical techniquesregressionclusteringcorrelation analysisdata structuresdata analytics
Soft Skills
self-organizeddocumentationcommunicationpresentation skillsproblem solvingcollaborationanalytical thinkingattention to detailadaptabilityinitiative