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KPMG

Global audit, tax, and advisory services

Data Analytics & Automation Specialist - Asset Management Digital Solutions, AMDS

Data Engineering +1Confirmed live in the last 24 hours
Full-timeToronto, ON, CanadaIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Science, or Engineering.
  • At least 3 years of relevant experience in data analytics, business intelligence, reporting, automation, data solutions, or a related field.
  • Hands-on experience with Power BI, Power Query, Alteryx, SQL, advanced Excel, and VBA.
  • Working knowledge of Python for data analysis, scripting, or process automation.
  • Experience developing Power BI data models, reports, dashboards, and DAX calculations.
  • Understanding of data transformation, integration, modeling, validation, and reconciliation concepts.
  • Experience gathering requirements and working directly with business stakeholders.
  • Ability to convert business needs and manual processes into scalable technical solutions.
  • Ability to write clear, maintainable scripts, queries, calculations, and workflows.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Ability to manage multiple assignments and adapt to changing business priorities.
  • Strong written and verbal communication skills and ability to explain data and technical concepts to non-technical stakeholders.
  • Experience using AI-assisted tools, or demonstrated ability and willingness to incorporate them responsibly into analytics and automation work.

Responsibilities

  • Work with business stakeholders to understand processes, reporting requirements, data challenges, and automation opportunities.
  • Translate business requirements into practical data, reporting, and workflow solutions.
  • Design, build, test, deploy, and maintain solutions using Power BI, Alteryx, Power Query, SQL, VBA, Python, and Excel.
  • Develop interactive Power BI reports, dashboards, data models, measures, and calculations.
  • Build data preparation, transformation, integration, and automation workflows.
  • Use scripts and queries to clean, validate, reconcile, and analyze data.
  • Scale prototypes and manual processes into reusable, documented, and supportable solutions.
  • Implement appropriate data-quality checks, error handling, controls, and reconciliation processes.
  • Troubleshoot data, reporting, refresh, workflow, and performance issues.
  • Optimize dashboards, queries, data models, and workflows for performance and maintainability.
  • Document business rules, data sources, calculations, solution designs, and operating procedures.
  • Support deployed solutions and communicate progress, risks, dependencies, and technical issues to managers and stakeholders.
  • Follow applicable data security, confidentiality, governance, and compliance requirements.
  • Use approved AI tools to assist with data analysis, query and script development, workflow design, troubleshooting, testing, documentation, and technical research.
  • Review and validate AI-generated SQL, Python, VBA, DAX, Power Query, analyses, and documentation before use.
  • Remain accountable for the accuracy, security, reliability, and business appropriateness of AI-assisted work.
  • Identify opportunities to combine AI, analytics, and automation to improve business processes and reduce manual effort.
  • Apply sound judgment when evaluating AI-generated results, including their assumptions, limitations, and potential data-quality issues.
  • Follow organizational and client requirements for confidentiality, data handling, security, and acceptable AI use.

Desired Qualifications

  • Cloud data certifications and/or product management certifications.

About the Company

KPMG

Global audit, tax, and advisory services

KPMG is a global network of independent professional firms that provide Audit, Tax, and Advisory services. Its work involves helping organizations verify financial information, manage tax obligations, and solve business problems through advisory support, risk management, and performance improvement. Services are delivered by cross-border teams across a worldwide network, with an emphasis on consistency and collaboration among member firms. KPMG distinguishes itself through its history as a series of international mergers that created a large, integrated firm with a shared global standard and brand, rather than a single locally owned entity. Its goal is to help clients navigate complex regulations, improve performance, and achieve sustainable growth across multiple markets.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
1987

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