Data Modeler, Financial Systems & Products

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Date: Dec 2, 2024

Location: Toronto, Ontario, Canada

Company: Deloitte

Job Type: Temporary Contract 
Reference code: 127740   
Primary Location: Toronto, ON  
All Available Locations: Toronto, ON 

 

Our Purpose

 

At Deloitte, we are driven to inspire and help our people, organization, communities, and country to thrive. Our Purpose is to build a better future by accelerating and expanding access to knowledge. Purpose defines who we are and gives us reason to exist as an organization.

By living our Purpose, we will make an impact that matters.
 

  • Be encouraged to deepen your technical skills...whatever those may be.
  • Have many careers in one Firm.
  • Partner with clients to solve their most complex problems

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Are you a highly analytical, exceptional, and motivated seIf-starter who thrives in a fast-paced environment? Interested in developing your career in Finance and Data Analytics? Apply below!

What will your typical day look like?


In this role, you will leverage your technical skills, analytical skills and deep understanding of our database systems and reporting products to design data models, create data flows, optimize performance, and drive insights. Your expertise will be essential in collaborating with cross-functional teams to enhance product offerings and meet client demands.
 

  • Data Modelling and Strategic Design: Translate business requirements and logics into logical data models, and design data strategies and implement data flows to create systems and products that address the business needs.
  • Data Engineering and Data Pipeline: Design and develop efficient data pipelines to ensure the smooth flow of data from various sources to data models and analytics platforms. Collaborate with other developers to optimize data ingestion, transformation, and storage processes. Implement data engineering best practices to ensure data quality, reliability, and scalability.
  • Product Expertise: Serve as the SME for our product lines, understanding business objectives and collaborating with stakeholders to develop data models and strategies.
  • Data Analytics & Reporting: Analyze complex datasets to extract meaningful insights, performance metric and further improve user experience and decision-making efficiency.
  • Cross-Functional Collaboration: Work closely with Product Management, Financial Business Partners, Financial Reporting and IT teams to gather requirements, share insights, and support data-drive decision-making through the product lifecycle.
  • Project Leadership: Take initiatives on cross-functional projects aimed at product improvements, collaborating with various teams to ensure alignment with business objectives and timely execution.
  • User Feedback Integration: Analyze client feedback and usage data to identify areas for product enhancement and innovation, ensuring our offerings meet user needs. Continuously update and refine the product based on feedback, requirements, and business direction.
     

About the team


Reporting to Manager of Financial Systems and Products, the incumbent will support lifecycle of the product suites for the Financial Systems and Products team. You will assist the team in order to support the Firm's Executive leaders to drive operational excellence and outstanding financial performance by providing top tier reporting and analytics products and systems.

Enough about us, let’s talk about you


 You are someone who has:
 

  • A Bachelor’s degree in Computer Science, Computer Engineering, or related STEM programs
  • 3-5 years of experience in data modelling, data engineering, ETL, and relevant professional experience in data related fields.
  • Experience in SDLC and Agile Project Delivery environment 
  • Strong expertise in SQL query development and DBMS systems (HANA, MS SQL Server, MySQL, etc.) 
  • Expertise in ETL/ELT tools and applications (Alteryx, SSIS, Azure Data Factory)
  • Expertise in BI and data analytics tools an asset (PowerBI, Tableau, Cognos)
  • Strong problem-solving abilities with a data-driven mindset, capable of interpreting complex datasets to design logical models and integration strategies.
  • Excellent verbal and written communication skills, able to convey complex information clearly to technical and non-technical stakeholders.
  • Proven ability to work collaboratively with cross-functional teams and influence decision-making through data-driven insights.
     

Total Rewards


The salary range for this position is $69,000 - $114,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver.

Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth.  Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. Some representative examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, 38+ days off (including 10 firm-wide closures known as "Deloitte Days"), flexible work arrangements and a hybrid work structure.

 

Our promise to our people: Deloitte is where potential comes to life.

 

Be yourself, and more.

We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance.

You shape how we make impact.

Diverse perspectives and life experiences make us better. Whoever you are and wherever you’re from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be.

Be the leader you want to be

Some guide teams, some change culture, some build essential expertise. We offer opportunities and experiences that support your continuing growth as a leader.

Have as many careers as you want.

We are uniquely able to offer you new challenges and roles – and prepare you for them. We bring together people with unique experiences and talents, and we are the place to develop a lasting network of friends, peers, and mentors. Our TVP is about relationships – between leaders and their people, the firm and its people, peers, and within in our communities.

The next step is yours

 

At Deloitte, we are all about doing business inclusively – that starts with having diverse colleagues of all abilities. Deloitte encourages applications from all qualified candidates who represent the full diversity of communities across Canada. This includes, but is not limited to, people with disabilities, candidates from Indigenous communities, and candidates from the Black community in support of living our values, creating a culture of Diversity Equity and Inclusion and our commitment to our AccessAbility Action PlanReconciliation Action Plan and the BlackNorth Initiative.

We encourage you to connect with us at accessiblecareers@deloitte.ca if you require an accommodation for the recruitment process (including alternate formats of materials, accessible meeting rooms or other accommodations) or indigenouscareers@deloitte.ca  for any questions relating to careers for Indigenous peoples at Deloitte (First Nations, Inuit, Métis).

By applying to this job you will be assessed against the Deloitte Global Talent Standards. We’ve designed these standards to provide our clients with a consistent and exceptional Deloitte experience globally.
Deloitte Canada has 30 offices with representation across most of the country. We acknowledge our offices reside on traditional, treaty and unceded territories as part of Turtle Island and is still home to many First Nations, Métis, and Inuit peoples. We are all Treaty people.


Job Segment: Data Modeler, PLM, SQL, Database, Computer Science, Data, Management, Technology

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