Consultant/ Senior Consultant, Data Analytics - Toronto, ON MH S

Only for registered members Toronto, ON MH S, Canada

5 hours ago

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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. · With a network of over 14,000 data and technology professionals in various KPMG member f ...
Job description

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.

With a network of over 14,000 data and technology professionals in various KPMG member firms – including leading data scientists and engineers – and alliances with some of the top global technology providers, our Canadian cross-functional team (including KPMG Lighthouse, our centre of excellence for data, AI and exponential technologies) leverages the latest data, analytics, intelligent automation and artificial intelligence technologies to help build and deliver solutions for our clients unique business needs.

Data and analytics help our clients unlock the value of their data, which can enable our clients to make better, faster, and more confident business decisions.

Are you a talented individual with a proven track record on executing project deliverables.

Our Data & Analytics, Deal Advisory team in Toronto is looking for a professional like you with the skills and drive to make a real difference.

As a Consultant / Senior Consultant with a focus on applying proprietary and third-party data analytics solutions in a deal environment. Working in multi-disciplinary teams, you will apply your professional and technical skills on a wide variety of transactions and at different stages of the transaction process.

What you will do:

  • Work with our deal teams to evaluate a business' historical performance, sustainability of earnings/cash flows, financial projections, and opportunities for value creation.
  • Work with large volumes of data (structured and unstructured) - investigate and perform deeper analysis to produce impactful insights to achieve targeted outcomes.
  • Draft detailed professional reports and other client deliverables e.g., Excel schedules, PowerBI dashboards, results of predictive models etc.
  • Develop and support other business units to identify use cases and increase the use of data & analytics in a cross-functional role (e.g., Valuations, Corporate Finance, Restructuring, Global Infrastructure Project Group, etc.).
  • Using KPMG proprietary and third-party data analytics tools you will deliver deeper insights.
  • Develop analytical procedures and templates that can be deployed to others to increase the capabilities of the wider team.
  • Establish credibility and develop relationships with current and prospective clients.

At times, business needs arise, and employees are required and agree to work beyond their normal work day or work week to fulfill the accountabilities required for their job. Likewise, people need extra time to devote to personal matters, and our approach to flexibility provides for this.

What you bring to the role:

  • Post-Secondary education equivalent to a university degree in Business or numerate or analytical disciplines such as Mathematics, Statistics, Data Analytics, Computer Science.
  • 3+ years of work experience in a related field; experience in professional services and the deal environment an asset.
  • Strong analytical skills with financial awareness and business acumen; excellent communication, both written and verbal
  • Strong experience in PowerBI and PowerQuery, including data transformation and dashboard development to display business insights.
  • Experience with databases (SQL Server) data extraction, analysis, cleansing, quality and manipulation skills; capabilities in handling very large volumes of data
  • Experience building statistical analysis, descriptive analytics, predictive analytics, machine learning, and artificial intelligence models using standard statistical packages or languages (R, Python, MATLAB, SAS, SPSS, etc.)
  • Committed, able to work independently with minimal supervision and flexible to deal with changing priorities and strict deadlines.

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $69000 to $97000 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

For more information about KPMG in Canada's Benefits and well-being, click here. I-ET1 #Hybrid

LI-AS1


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 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

AI Usage

We embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG's Trusted AI framework.

We believe technology should empower human judgment, not replace it. It's one of the many ways we're delivering on our vision of being a technology-first, people-driven firm.



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