Top Data Analytics Jobs in Toronto
Maintain and improve data consistency, quality, and security in enterprise systems. Complete Yardi set-ups and updates, ensure accuracy of tenant set-ups, and support month-end activities. Collaborate with various teams for data governance and business requirements. Requires 2-4 years of experience in Commercial Real Estate and strong computer skills, including advanced Excel knowledge.
Lead the embedding of pricing strategy into pricing analytics and technology, manage a team of analytics managers and product owners, collaborate with Product Technology teams to develop pricing products, mentor a team of technology and data scientists, implement pricing strategy and technology, lead end-to-end implementation of pricing tools, collaborate with cross-functional teams for agile product implementation
The Senior Data Analyst at EverCommerce will collaborate with various teams to lead analytics initiatives, develop key performance indicators, create user-friendly dashboards, and provide actionable insights from data analysis. They will also identify opportunities for process improvement and ensure data quality and integrity.
Senior Data Analyst role at Sun Life, responsible for analyzing and interpreting trends using statistical tools, reporting on business performance, and supporting key initiatives in client acquisition analytics.
Seeking a Data Analyst to build out data insights and infrastructure, provide crucial data insights, and inform business decisions. Responsibilities include managing data pipeline roadmap, performing ad-hoc analysis, collecting and synthesizing data, and building dashboards. Must have 3+ years of experience, strong SQL skills, experience with data visualization tools, and be collaborative and team-oriented.
Looking for a Manager/Senior Manager in Analytics Consulting with a blend of business consulting skills and data analytics background. Responsibilities include working on data science applications, translating business problems into analytical solutions, managing analytics projects, and presenting solutions to stakeholders. Requirements include 7-12 years of experience, strong understanding of statistical and machine learning algorithms, project management skills, and proficiency in SQL, R, Python, Qlik, Tableau.
Analyzing and monitoring business, player, and game performance to improve gaming experience, portfolio, and profitability. Collaborating with stakeholders to drive growth and make data-driven recommendations. Developing expertise in team performance and player retention drivers. Extracting and analyzing data using SQL to provide insights and recommendations.
Set up predictive models and productionalize MLOps pipelines for capital lending product, leverage data-driven insights to enhance business strategies, collaborate with cross-functional teams, conduct data analysis using statistical and machine learning techniques, develop predictive and prescriptive models, collaborate with business leaders, validate model performance, and monitor model performance.
The e-Commerce Analytics Manager at Open Farm will be responsible for owning e-commerce analytics and reporting, delivering insights to stakeholders, supporting the web team with product analytics, contributing to revenue growth, and partnering with cross-functional teams on key initiatives.
Automate manual processes through SQL and Python, design ETL solutions, analyze and extract data, create data visualizations, work with Google Analytics, and manage data infrastructure. Bachelor's or Master's degree in relevant field required. Must have 2-4 years of experience in digital marketing analytics.
Work as a Business Intelligence Developer at a leading global engineering design house specializing in embedded software/hardware, electronics, and electro-mechanics. Collaborate with robotics product and engineering leads to deliver data insights aimed at improving warehouse automation technology. Use various data sources for analytics and visualization to influence technology solutions.
As a BI Analyst at Sporty, you will be responsible for mining through large datasets to provide key insights that drive business decisions, creating dashboards, maintaining reporting infrastructure, and optimizing reporting processes. Requirements include 3+ years of experience in a similar role, strong SQL knowledge, familiarity with Python, ETL pipelines, A/B Testing, and Airflow. Knowledge of sports and gaming is beneficial, and hands-on experience with machine learning is a plus.
Senior Data Analyst role at DECA Games, responsible for owning the analytics of games, working closely with stakeholders, and leading BI projects to impact major KPIs. Must have 2-5 years of experience in data analysis, solid SQL knowledge, and experience with visualization tools.
As a Data Consultant at Kainos, you will combine thought leadership, delivery, and commercial experience to identify and secure new business for digital transformation journeys with vital data considerations. You will be responsible for articulating opportunities and designing data solutions impacting users worldwide.
Looking for a Data Analyst to join the Product Analytics team in Toronto. Responsibilities include supporting various teams with data analysis, reporting, and developing tools for tracking key metrics. Requires 1-2 years of experience and proficiency in Python and SQL.
Join Klick Health as an Analyst, Data Solutions to collaborate with top-tier professionals and develop cutting-edge data solutions. Drive impact by merging data solutions into client engagements and marketing sciences products.
As a Senior Customer Business Intelligence Engineer, you will deploy data models to customers’ data environments, optimize data warehouse, work with cross-functional teams, manage data products for customers, and identify technical investments.
Python Data Analyst role focusing on geospatial analytics, NLP, and data analytics. Involves working with internal datasets, developing data processing/ETL, API development, and assisting with competitive use cases. Onsite in Toronto as a Temporary Contractor with 37.5 hours per week.
The Analyst Development role involves working on Python for Data Prototyping and delivering projects in Big Data using AWS technologies. Responsibilities include developing ETL Data Prototypes, collaborating on project delivery, and leading projects in a global environment.
Figment, a leading provider of blockchain infrastructure, is seeking a Senior Data Analyst to drive informed decision-making and optimize business processes. The role involves data reporting, analysis, visualization, cross-functional collaboration, and technical solution development. Ideal candidates have strong analytical skills, technical expertise, and a passion for leveraging data to make an impact.
Enveritas is seeking a Junior Data Analyst to support operations in Brazil, focusing on managing, analyzing, and cleaning real-time data. The role involves collaborating with global team members, ensuring data quality, developing tools, providing analysis and insights, and conducting training sessions for field teams.
Enveritas is seeking a Junior Data Analyst to support operations in Latin America by managing, analyzing, and cleaning data, providing feedback to field teams, and collaborating with the global team. This position is fully remote and offers opportunities for professional growth and travel.
As a BI Analyst at Fusemachines, you will be responsible for leveraging data to drive strategic decisions and enhance operational efficiency. You will design and maintain PowerBI dashboards and reports to provide valuable insights to stakeholders, optimizing business processes and improving customer experiences.
Looking for a Head of Data to lead the data team at a Canadian Fintech company focused on financial services. Responsibilities include setting up the data vision, leading data analysis and reporting, and managing data warehousing and governance. Must have expertise in Data Science and Engineering.
As a Senior Data Specialist at Corby Spirit and Wine Limited, you will be responsible for ensuring the quality, consistency, and accessibility of Sell-Out data to drive better data-driven decision making. You will oversee key data sources, platforms, and tools, educate users, and collaborate with internal and external partners to optimize data models and processes.
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