Customer Insight Analyst/Manager at Renishaw | Canada | Rezi

Customer Insight Analyst/Manager at Renishaw

Customer Insight Analyst/Manager

Renishaw · Canada

4 days ago

Customer Insight Analyst/Manager

Renishaw · Canada

4 days ago
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About the Role

This role provides dedicated analytical capability within Customer Intelligence, connecting customer research, CRM data, product usage data, and business performance metrics into clear, actionable insight. It is designed to build future data science and AI capability while strengthening day-to-day reporting, dashboarding, and evidence-based decision making. You will transform customer, commercial, and operational data into practical insight that improves customer understanding, product decisions, retention, engagement, and business performance, collaborating with customer researchers and cross-functional partners to integrate quantitative and qualitative evidence.

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 validation, consistency, and reliability.
  • 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.
  • 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 effective use of data and insights.

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.
  • 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.

Skills

  • SQL
  • Python
  • Excel
  • Power BI
  • Salesforce
  • Data Science
  • AI
  • Automation
  • Statistical Modeling
  • Predictive Analytics
  • Machine Learning
  • Cloud Computing
  • Data Architecture
  • Data Warehousing
  • Data Lakes
  • Microsoft Azure

Location

  • USA

Work Type

  • Full-time

Experience Level

  • Mid-level

Benefits

  • Generous holiday allowance with the option to buy additional days
  • Health screening, eye care vouchers and 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

About the Company

  • At ICIS, our mission is to optimize the world's resources.
  • We help companies make strategic, sustainable decisions by bringing transparency to markets across the world.
  • We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day.
  • Our customers benefit from instant access to price assessments, reports and forecasts, a dedicated news channel and supply and demand data.

Equal Opportunity

  • We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
  • Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
  • Please read our Candidate Privacy Policy.
  • We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
  • USA Job Seekers: EEO Know Your Rights.