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Data Visualization Lead

Toronto, ON
  • Number of positions available : 1

  • To be discussed
  • Full time
  • Starting date : 1 position to fill as soon as possible

Overview

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


What you will do

  • Lead the development and support of modern visualization tools, emphasizing the Microsoft stack and a broad understanding of development practices.
  • Collaborate on innovative projects to design and implement advanced visualization tools, dashboards, and Proof of Concepts (POCs) that leverage modern data streams such as Event Hubs, Kafka, Data Bricks, and Azure Data Synapse.
  • Demonstrate strong expertise in the analysis, design, and implementation of visualization and reporting applications, particularly utilizing Power BI and Tableau, while integrating data from non-traditional sources.
  • Gather and define requirements to create web-based reports and dashboards that meet user needs, ensuring the incorporation of modern data streams rather than traditional SQL-based databases.
  • Oversee the successful execution of multiple projects, ensuring thorough documentation and conducting appropriate testing throughout the Software Development Life Cycle (SDLC).
  • Develop and maintain comprehensive codebases, technical documentation, and associated files to support ongoing development efforts, with a focus on modern data integration.
  • Create effective project plans and accurately estimate efforts for a diverse range of visualization projects, considering varying levels of complexity and the integration of modern data tools.
  • Provide technical support for visualization tools to business functions, addressing and resolving complex issues as they arise, particularly those related to modern data streams.
  • Translate business requirements into intuitive dashboard solutions, ensuring a clear understanding of how customer needs are met through effective visualization of data from modern sources.
  • Conduct strategic data analysis to identify insights and implications, making informed recommendations and developing data displays that effectively communicate complex analyses derived from modern data streams.
  • Organize and facilitate data review sessions with stakeholders, ensuring that all process details are accurately captured and validated by business subject matter experts (SMEs).
  • Support automation developers by clarifying automation requirements and assisting in the creation of necessary environments and permission configurations, particularly in the context of modern data tools.
  • Engage in pre-deployment and post-deployment activities, including User Acceptance Testing (UAT) sessions, Go/No-Go meetings, and hyper-care support calls, ensuring alignment with modern development practices.
  • Assist in resolving operational issues, including troubleshooting production support challenges and documenting change request details, with a focus on modern data integration and visualization tools.

What you bring to the role

  • Technical Leadership: Proven ability to lead teams in the development and implementation of advanced visualization tools, fostering a culture of innovation and collaboration.
  • Strong Analytical and Problem-Solving Skills: Expertise in analyzing complex data sets and deriving actionable insights, with a focus on strategic decision-making.
  • Creative Approach and Good Design Aesthetics: Ability to design intuitive and visually appealing dashboards and reports that enhance user experience and effectively communicate data insights.
  • Exceptional Documentation Skills: Proficient in creating clear and concise documentation, including requirements specifications and process flow diagrams that facilitate understanding and implementation.
  • Consensus Building: Strong interpersonal skills to engage with diverse stakeholders, ensuring alignment and delivering solutions that meet collective needs.
  • Agile Methodology and SDLC Knowledge: In-depth understanding of agile practices and the software development life cycle, enabling efficient project management and delivery.
  • Extensive Experience in Visualization Tools: A minimum of 7 to 10 years of hands-on experience with leading visualization tools, including Microsoft Power BI, Tableau, and other modern data visualization platforms.
  • Cloud Data Asset Management: Strong experience working with cloud-based data solutions such as Azure Synapse, Databricks, CosmosDB, AWS, GCP, and Kubernetes, ensuring effective data integration and management.
  • Proficiency in Data Integration Tools: Knowledge of Azure Data Factory, Power BI Dataflows, and Power Query for seamless data transformation and integration.
  • Strong Programming and Data Query Skills: Proficient in programming languages such as JavaScript, HTML, and Python, as well as data query languages including SQL, DAX, T-SQL, GraphQL, PromQL, and KQL, with the ability to write complex queries and optimize data retrieval processes.
  • Data Validation Expertise: Experience in data validation processes, including the creation of test plans, test cases, and execution of test cycles to ensure data accuracy and reliability.
  • Experience with Collaboration Tools: Proficient in using tools such as Azure DevOps, SharePoint, Office 365, and Microsoft Teams to facilitate project management and team collaboration.
  • Understanding of Open-Source Technologies: Awareness of open-source data tools and frameworks, such as Apache Kafka and Apache Spark, to leverage modern data processing capabilities.
  • Adaptability to Industry Trends: Keen understanding of emerging trends in data visualization and analytics, ensuring alignment with industry best practices and future-proofing solutions.

This position requires written and oral fluency in English. The successful candidate may be required to support or collaborate with English-speaking colleagues or stakeholders while at KPMG.

 

KPMG BC Region Pay Range Information   

The expected base salary range for this position is $86,000 to $128,500 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

 

Providing you with the support you need to be at your best

 


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

 

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

 

Adjustments and accommodations throughout the recruitment process

 

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have the opportunity to request an adjustment or accommodation at any point throughout the recruitment process. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

 


Requirements

Level of education

undetermined

Work experience (years)

undetermined

Written languages

undetermined

Spoken languages

undetermined