It Analyst Jobs in Ontario
Create alert for “IT Analyst”
Ontario
You've reached the end
Try refining your search for more options
About the role
- Partners with the business and IT community to ensure that the right people have access to the right data in the right format at the right time. Data Science Analyst is an advanced technical professional role responsible for exploring and analyzing data across the enterprise and presenting information and key insights that support the organization’s strategies
- The Data Science Analyst has in-depth knowledge across multiple technical environments as well as strong business acumen and provides expertise regarding systems design, integration and performance analysis across the business
- The role promotes shared infrastructure and applications to reduce costs and improve information flows, and it ensures that new technology solutions do not duplicate functionality or diverge from each other and business and IT strategies. Develops strategies and provides guidance to the team in building data models
- Partners with team members and vendors in enabling efficient requirements gathering
- Respected by business for deep, cross functional data analysis expertise and innovative solutioning in improving organizational effectiveness
- Able to distill executive level requirements into appropriate discovery work plans and guide team members on requirements gathering
- Proactively meets with stakeholders and engages in effective discussions resulting in new initiatives
- Supports senior stakeholders and management team in identifying, communicating to senior stakeholders
- Recognized by senior managers as a skilled communicator, trusted to recognize and proactively manage key impacts
- Excels at stakeholder communication in identifying use cases with high business value
- Responsible for designing strategic cross-functional and global solutions that align with long-term organizational goals and roadmaps
- Advises on solutions prepared by peers or supporting team to ensure that good design practices are followed
- Recognized as expert within the industry
- Establishes standards
- Supports senior management by creating architecture, project management and roadmap documentation
- Supports senior management by giving them an understanding of data architecture, design methodologies and solutions to help socialize solutions and business value
- Develops test strategy and execution to cover testing in an optimal amount of time and covers scenarios
- Organizes test labs for repetitive testing
- Drives designing repeatable test models for effective results
- Optimizes release management to strike good balance between business goals and delivery capacity
- Able to logically split bigger projects into value added releases to gain business value in progression
- Identify and manage risks in release delivery
- Guides the team on methodologies and tools to enable better design and build
- Has expertise in scripting with various programming languages and helps resolve issues for the team that need help
- Develops expertise in Data Mining and predictive modeling techniques, including regression analysis, clustering, decision trees and neural networks
- Has experience with Big Data Technologies (MapReduce, Hive, Spark, Kafka, Yarn, Storm) and understands the concepts and technology ecosystem around both real-time and batch processing in Hadoop
- Helps teams in delivering fresh insights from data by developing thought provoking, innovative, context- sensitive visualizations
- Takes the output from decision-support systems and turns it into consumable theories, postulates and hypotheses that can be tested and applied to the business
- Demonstrates a comprehension of hard science, a sound understanding of business goals and processes, and a penchant for creativity
- Communicates with the business stakeholders
- Designs, develops, and provides implementation of compelling data visualizations, dashboards, tools and utilities using Open Source technologies (Java/J2EE, JavaScript, HTML, CSS, Spring, JQuery, D3, React.js, etc.)
- Analyzes techniques to organize data in visually innovative ways in order to make it easy to understand to the stakeholders and technical folks at the same time
- Helps demystify the ambiguity in requirements for the team
- Understands and advises on modeling techniques and provides guidance to the team in building efficient data models
- Drives data discovery initiatives with large volumes of data, communicates data patterns and deduces hypothesis for the stakeholders
- Drives the team to formulate innovative solutions to experiment and implement advanced data science solutions
- Accountable for product release certification ensuring highest quality and customer experience
- Manages/leads individual consultants or consulting teams as assigned
- Participates in vendor advisory boards and user groups
- Accountable for creating and negotiating vendor contracts, MSA/SOW, License Agreements and driving through internal reviews with GTS leadership and Legal teams
- Executes and guides large-scale vendor evaluations by vetting recommendation and negotiation communications for executive review
- Drives executive communications and cross functional stakeholder buy-in
- Brings thought leadership to influence technology roadmap and decisions- Bachelor’s in Data Science, Computer Science or Machine Learning
- 10+ years experience
Not the right fit? Search for Product Manager jobs in Toronto, Ontario, CA
About Equinix
Internet Publishing
10,000+
Equinix (Nasdaq: EQIX) is the world’s digital infrastructure company™, enabling digital leaders to harness a trusted platform to bring together and interconnect the foundational infrastructure that powers their success. Equinix enables today’s businesses to access all the right places, partners and possibilities they need to accelerate advantage. With Equinix, they can scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value.