Data Modeler - Anaplan

Job Type:Permanent
Reference code:126260
Primary Location:Toronto, ON
All Available Locations:Toronto, ON; Burlington, ON; Kanata, ON; Kitchener, ON; Ottawa, ON; Vaughan, ON; Windsor, 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

If you are a highly analytical, exceptional business advisor focused on making a difference than we want to hear from you!

What will your typical day look like?

The successful candidate will be responsible for data modeling in Anaplan to support the Firm's planning and forecasting functions. You will collaborate with multiple groups in the Firm, and act as an ambassador to other teams involved in the planning and forecasting processes.

• Work in an agile/hybrid environment to collaborate with internal businesses, project team members, and other Deloitte teams on program planning, data integration, and technical integration activities.
• Act as the subject matter expert for data integration and translation initiatives and coordinate with various stakeholders to resolve highly complex technical data communication and transformation issues, while understanding/balancing business needs underpinning technical issues.
• Diagnose, triage and fix issues, in existing back-end coding/data modeling, reports, infrastructure, and data sets independently; identify and recommend creative solutions for new business and technical requirements or changes
• Interact with non-technical teams, understand their requirements, and translate them into simple yet effective reports, models, visualizations, and dashboards
• Utilize creative thinking to modify or select the most suitable procedure/approach to solve a technical/business problem. Perform in-depth analysis for the purpose of identifying use cases, insights and opportunities and communicating them to multiple business and technology partners.
• Understanding and translating complex business data and analytics requirements into technical architectural designs

About the team

Reporting to the Finance Manager or Sr. Manager, the incumbent will support the Financial Planning and Analysis function for the overall firm. You will assist the team in order to support the Firm's Executive leaders to drive operational excellence and outstanding financial performance by providing Anaplan based solutions related to, but not limited to planning and forecasting.

Enough about us, let's talk about you

You are someone who has:

• An undergraduate degree from Finance, Mathematics, Computer Science, Computer Engineering or other related programs with excellent academic performance
• 3-5 years of relevant experience in data modeling, financial modeling or data engineering.
• Anaplan Hands-On development experience is a must
• Experience successfully implementing Anaplan solutions is a huge plus
• Anaplan data modeling experience or certification preferred
• Expert skills of Excel spreadsheet modeling, macros, pivot tables, formulas, etc.
• Experience with Power BI, Tableau etc. a plus
• Experience building Relational Database Management Systems or writing SQL commands
• A strong analytics aptitude and have a structured and project-oriented approach
• High intellectual horsepower, including strong critical thinking skills, analytical abilities, and the capacity for lateral/creative thinking- identifying key business/technical and data issues, conducting analysis, and developing recommendations
• Strong problem-solving skills and recognize the need to balance business and technical skills- creatively shaping qualitative and quantitative analysis to solve business challenges
• Clear communication of complex problems in an effective, clear, non-technical, and understandable manner, and work collaboratively in teams, big and small
• Comfort working in an ambiguous environment with pressing deadlines and constantly changing client needs and conditions
• Ease working with sophisticated data integration, large datasets and unstructured data

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 Plan , Reconciliation 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, Quantitative Analyst, Financial, Computer Science, Developer, Data, Finance, Technology

Category

Information Technology