Customer Insight Analyst/Manager

Renishaw•Surrey, BC

1d•Hybrid

About The Position

This role is designed to provide dedicated analytical capability within Customer Intelligence, connecting customer research, CRM data, product usage data, and business performance metrics into clear, actionable insight. The position aims to build future data science and AI capability while strengthening day-to-day reporting, dashboarding, and evidence-based decision-making. The analyst will be responsible for transforming customer, commercial, and operational data into practical insights that enhance customer understanding, product decisions, retention, engagement, and overall business performance. This role involves close collaboration with customer researchers and cross-functional partners to integrate quantitative and qualitative evidence, contributing to a more connected view of customer needs, behaviors, and outcomes. The position offers exposure to data science, automation, AI-ready analytics, cloud environments, and customer data architecture.

Requirements

Exceptional analytical and problem-solving skills, with the ability to work with complex datasets and generate practical insight.
Excellent data science and programming skills, with proficiency in Python for data analysis, modeling, automation, and statistical applications.
Experience in data manipulation, querying, and analysis using SQL.
Skilled in data visualization and presentation of analytical findings using Power BI.
Competent in Microsoft Excel for data analysis, reporting, and business insight generation.
Ability to communicate analytical findings clearly to business stakeholders.
Exceptional attention to detail, especially around data quality, accuracy, and interpretation.

Nice To Haves

Experience using Salesforce and understanding of how CRM data can support analytics and decision-making.
Understanding of customer insight, market research, customer experience, or NPS measurement.
Working knowledge of cloud computing concepts and cloud-based visual or analytical environments.
Understanding of data architecture concepts, including data warehousing and data lakes.
Exposure to cloud computing environments such as Microsoft Azure.
Exposure to predictive analytics, machine learning, AI-enabled analytics, or advanced statistical methods.
Experience working with customer, commercial, subscription, product usage, or behavioral datasets.

Responsibilities

Analyze customer, product, commercial, and operational data to uncover trends, risks, and opportunities, delivering insights into customer behavior, engagement, retention, product adoption, and experience.
Conduct ad hoc analysis to support strategic initiatives and leadership decisions.
Collaborate with Customer Insights teams to combine quantitative data and customer research into actionable recommendations.
Extract, clean, and analyze data using SQL, Python, and Excel to support reporting, dashboards, and insight packs.
Track key customer and business metrics such as NPS, engagement, retention, adoption, and usage, ensuring data is validated, consistent, and reliable for decision-making.
Use Python to automate recurring analysis, reporting, and data preparation.
Support statistical modeling, predictive analytics, and AI/data science proof-of-concept work.
Identify opportunities to improve insight delivery through automation and emerging analytical methods.
Create impactful Power BI dashboards and visualizations to communicate customer and business performance.
Translate complex analysis into clear, actionable insights for technical and non-technical audiences.
Support the development of leadership-ready reports, presentations, and data-driven recommendations that explain what is happening, why it matters, and what actions should follow.
Collaborate with cross-functional stakeholders to translate business questions into analytical solutions and measurable outcomes.
Promote knowledge sharing and a unified view of customer data.
Support a culture of evidence-based decision-making through the effective use of data and insights.

Benefits

Generous holiday allowance with the option to buy additional days
Health screening
Eye care vouchers
Private medical benefits
Wellbeing programs
Life Assurance
Access to a competitive contributory pension scheme
Save As You Earn share option scheme
Travel Season ticket loan
Electric Vehicle Scheme
Optional Dental Insurance
Maternity, paternity and shared parental leave
Employee Assistance Programme
Access to emergency care for both the elderly and children
RECARES days, giving you time to support the charities and causes that matter to you
Access to employee resource groups with dedicated time to volunteer
Access to extensive learning and development resources
Access to employee discounts scheme via Perks at Work