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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