Analyst, Data Strategy

Four Seasons Hotels and Resorts•Toronto, ON

4d•CA$70,000 - CA$85,000•Hybrid

About The Position

As a Data Strategy Analyst, you will report to the Director, Data Strategy and Product Assurance and work closely with the Manager of Data Strategy, playing a crucial role in supporting the organization's data strategy and governance initiatives. Collaborating with cross-functional teams, you will gather data requirements, assist in developing and implementing comprehensive data strategies, and ensure the alignment of data usage with business goals. You will leverage your data analytics expertise to help maintain data roadmaps, build process data flows, manage project management tools, support certification of products based on governance standards and help execute overall data strategy. This position will also work in collaboration with the delivery team, and product managers to ensure the analytics program is enabling the overall data strategy. This role is based in our temporary location of 20 York Mills Rd, then the Four Seasons Hotels and Resorts, Toronto Corporate Office. This role involves interactions with both internal and external stakeholders at various levels.

Requirements

Bachelor’s in a relevant field (e.g. Data Management, Information Technology, Business Analytics, Informatics).
Strong understanding of data governance frameworks and principles.
Experience managing data lifecycle.
Demonstrated ability to align data strategy with business goals.
Experience in data strategy development and implementation.
Ability to adapt data strategies to evolving business needs and changing landscape.
Analytical mindset with the ability to identify trends, detect anomalies, and translate complex data sets into actionable insights and strategies.
Experience with data governance tools and technologies such as informatica.
Strong knowledge of data protection regulations, and compliance standards.
Applied experience in data governance and / or data management.
Knowledge of industry leading data governance practices.
Familiar with implementation and use various data governance tools and software.
Familiar with DMBOK principles.
Understand of complete data lifecycle and related data governance requirements.
Understanding of GDPR and related legislation.
Ability to manipulate, analyze and transform large datasets to understand trends and patterns.
Working knowledge of cloud computing platforms. MS Azure preferred (Microsoft Synapse, Azure Data factory, Azure Databricks, PowerBI).
Proficient in SQL or other programming languages.
Experience with data visualization and dashboarding (Power BI, Tableau).
Expert in Microsoft Office software (Word, Excel, PowerPoint, Access).
Working knowledge of project management tools such as Monday.com and Jira.
Works to understand the business need and how the data will be used to drive decisions into action plans that will grow the business.
Effectively navigates through ambiguity and complexity to provide clarity for the team and the requester.
Works well under pressure and can manage multiple tasks under time constraints.
Strong with process management including the development of processes and procedures.
Familiar with agile methodology and comfortable working in an agile environment.
Works to understand the requester needs when building the upfront story to ensure clarity and actionability.
Listens carefully to understand requirements and seeks clarity as needed.
Provides well-structured reports and documents to convey analysis and insights that are clear, concise and reader-friendly.
Demonstrates understanding of the importance of storytelling by incorporating visual enhancements into presentations.
Strong interpersonal skills and team player.
Demonstrates the ability to organize and work with high volumes of data.
Establishes clear expectations to ensure smooth execution.
Handles multiple demands and conflicting priorities by quickly re-allocating time and resources.
Organizes self and the team in setting and managing priorities.
Demonstrates a relentlessly high standard for attention to detail and holds others to the same.
Delivers on commitments on time and on budget.
Takes the time to acknowledge the efforts and contributions of others.
Works to build relationships with colleagues to both provide and receive the best support.
Works productively in a matrix environment to move projects along and foster a positive team attitude.
Proactively asks for input and ideas from others to demonstrate the power of the team.

Responsibilities

Support the manager in implementing relevant data governance policies and work closely with product owners to ensure data products are certified for use.
Assist in maintaining the data roadmap, ensuring alignment of data usage with evolving business strategies, emerging technologies, and data sources.
Develop and maintain productive relationships with data stewards, product owners, and other key stakeholders to facilitate collaboration and data stewardship.
Facilitation and maintenance of the ongoing data strategy and roadmap.
Support intake of new data products through stakeholder communication, maintenance of templates, and scheduling of oversight and governance meetings.
Collaborate with project managers and delivery teams to support the development and delivery of data products that provide value to the business.
Assist in strengthening the organization’s data foundation through the implementation of effective policies, standards, and key performance indicators (KPIs).
Work with the manager to create and maintain training materials, playbooks, and reference guides to promote consistent adoption of data governance practices across teams.
Provide ongoing support and training on product certification requirements.
Oversee implementation of data strategy.
Support the manager in tracking and reporting on budget utilization across data and analytics projects, highlighting key variances and potential risks.
Assist in preparing program level budget and spend summaries to inform planning and prioritization.
Collaborate with D&A teams to create initial cost and resource estimates for new project requests.
Program Budget and Performance Tracking.
Identify opportunities for innovation and continuous improvement in data management processes.
Communicate the value of data-driven decision making and foster a data-driven culture by promoting awareness and understanding of the importance of data.
Proactive research and promote use of data to enable FS strategy.