3 days ago

Customer Insight Analyst/Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Build customer insight by connecting customer research, CRM data, product usage, and business performance metrics into clear, actionable reporting and recommendations. Strengthen day-to-day dashboarding and evidence-based decision making while developing future data science and AI-ready analytics capability. Use SQL, Python, and Power BI to deliver trustworthy metrics (NPS, engagement, retention, adoption), automate recurring analysis, and partner cross-functionally to improve customer understanding and business outcomes.

Location: Surrey

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Analyze customer, product, commercial, and operational data to uncover trends, risks, and opportunities and deliver actionable insight.
•Extract, clean, and analyze data to support reporting, dashboards, and insight packs; track KPIs including NPS, engagement, retention, adoption, and usage.
•Automate recurring analysis, reporting, and data preparation with Python; support statistical modelling, predictive analytics, and AI/data science proof-of-concepts.
•Create Power BI dashboards and visualisations to communicate customer and business performance to technical and non-technical audiences.
•Collaborate with cross-functional stakeholders to translate business questions into analytical solutions and measurable outcomes.

Pay and Benefits

Perks:Health InsurancePrivate MedicalPension SchemeShare OptionsDentalMaternity LeavePaternity LeaveParental LeaveEmployee AssistanceLearning Resources

Key Requirements

•Proficiency in Python for data analysis, modelling, automation, and statistical applications.
•Experience manipulating, querying, and analyzing data using SQL.
•Ability to create data visualisations and present analytical findings using Power BI.
•Competence in Microsoft Excel for data analysis, reporting, and business insight generation.
•Strong analytical and problem-solving skills with excellent communication and attention to data quality.

Skills:Problem-solvingCommunicationAttention to detailCollaborationEvidence-based decision-making

Tech Stack:SQLPythonExcelPower BISalesforceAzureCloud computingData warehousingData lakesMachine learningPredictive analyticsCRMAutomation

Company Brief

LexisNexis Risk Solutions

Provides data, analytics, and technology solutions to help businesses manage risk, detect fraud, comply with regulations, and make decisions across insurance, financial services, government, and commercial sectors.

Industry: RegTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Public Company

Headquarters: Alpharetta, United States

Website LinkedIn

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LexisNexis Risk Solutions

3 days ago

Customer Insight Analyst/Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Surrey

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Analyze customer, product, commercial, and operational data to uncover trends, risks, and opportunities and deliver actionable insight.
•Extract, clean, and analyze data to support reporting, dashboards, and insight packs; track KPIs including NPS, engagement, retention, adoption, and usage.
•Automate recurring analysis, reporting, and data preparation with Python; support statistical modelling, predictive analytics, and AI/data science proof-of-concepts.
•Create Power BI dashboards and visualisations to communicate customer and business performance to technical and non-technical audiences.
•Collaborate with cross-functional stakeholders to translate business questions into analytical solutions and measurable outcomes.

Pay and Benefits

Perks:Health InsurancePrivate MedicalPension SchemeShare OptionsDentalMaternity LeavePaternity LeaveParental LeaveEmployee AssistanceLearning Resources

Key Requirements

•Proficiency in Python for data analysis, modelling, automation, and statistical applications.
•Experience manipulating, querying, and analyzing data using SQL.
•Ability to create data visualisations and present analytical findings using Power BI.
•Competence in Microsoft Excel for data analysis, reporting, and business insight generation.
•Strong analytical and problem-solving skills with excellent communication and attention to data quality.

Skills:Problem-solvingCommunicationAttention to detailCollaborationEvidence-based decision-making

Tech Stack:SQLPythonExcelPower BISalesforceAzureCloud computingData warehousingData lakesMachine learningPredictive analyticsCRMAutomation

Company Brief

LexisNexis Risk Solutions

Industry: RegTech

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Public Company

Headquarters: Alpharetta, United States

Website LinkedIn