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Senior Consultant – Data Analyst

KPMG Company

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Job Details

  • Name of position: Senior Consultant – Data Analyst
  • Country: Canada
  • Name of company: KPMG company
  • Location: Toronto, ON, Canada
  • Salary:  CA$115,014 per year
  • Schedule: Full-Time,

Company Description

At KPMG, you’ll join a team of diverse and dedicated problem solvers connected by a common cause: turning insight into an opportunity for clients and communities worldwide.

KPMG individuals Deliver Impact | Seek Growth | Inspire Trust and understand that a diverse workforce enables us to deepen relationships and strengthen our business.

Their Governance, Risk and Compliance Services (GRCS) team is growing, and we are looking for a Senior Consultant – Data Analyst to join our team in Toronto.

Duties

As a Senior Consultant, you’ll be learning from some of the best in the industry and growing your skillset by:

  • Work closely with clients and partners in understanding critical business issues on digital opportunities.
  • Gather and analyze requirements to develop impactful recommendations and solutions
  • Utilize advanced analytical techniques to solve challenging business problems, identify areas of risk and opportunities, and recommend solutions for our clients.
  • Leverage a diverse set of technologies and tools to deliver insights
  • Work in multi-disciplinary and cross-functional teams to develop a strong experience in analytics, statistics, machine learning, data mining, and data management.
  • Work in a fast-paced and dynamic environment with virtual and face-to-face interactions; utilize structured approaches to solving problems and managing risks.
  • We document assumptions, communicate results, and educate others through insightful visualizations, reports, and presentations.
  • Work with large volumes of data (structured and unstructured)
  • Proactively contribute to the creation of presentation materials relating to data activities for stakeholder discussions
  • Bridge the gap between technical platform needs and business issues
  • Effectively communicate orally and written with peers within GRCS, KPMG and the client

Requirements

  • You have strong work experience and academic record and excel in an entrepreneurial environment.
  • You’re a highly motivated and passionate professional who strives for excellence, innovation and collaboration and can achieve personal and professional success while juggling competing priorities and deadlines.
  • Strong experience of 3-5 years, working with different kinds of messy, real-world data from various databases.
  • You’re a highly motivated and passionate professional who strives for excellence, innovation and collaboration.
  • Can achieve personal and professional success while juggling competing priorities and deadlines
  • Independent ability to review the data quality and data definitions and perform data cleansing and data management tasks
  • Strong knowledge and experience in the following: SQL, BI tools (like Tableau and PowerBI), Python, R, ETL, Alteryx and RPA tools (like Blue Prism, Automation Anywhere and UIPath)
  • Experience working in a multi-disciplinary team to tackle ambiguous data processing problems across a diverse range of industries
  • Experience in data governance, data quality, data processing, and data controls
  • Client-facing or consulting experience
  • Experience communicating insights or ideas through presentations and meetings
  • A certificate or degree in Computing or IT, with a focus on Business Systems Analysis, Business Intelligence, Data Analysis and Reporting, or similar, is an asset.
  • Ability to explain data and analytics concepts to non-technical team members.
  • Ability to apply data and analytics concepts to business problems.
  • Ability to understand and explain the business value of data and analytics concepts
  • Relationship-building solid skills to interact with clients, colleagues, and the wider community.
  • Ability to provide crucial consultation, analysis, and recommendations on a broad range of projects in a deadline drive environment with ambiguity.
  • Effectively work as part of a project team, and communicate findings of the analysis, critical implications, and recommendations in written and verbal formats.

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