Senior Data Analyst at FanDuel | Toronto

Role overview FanDuel is seeking a Senior Data Analyst based in Toronto. The position centers on translating large and complex datasets into insights that guide business decisions and enhance the user experience. This work supports strategic planning and helps shape how teams across the company operate. What you will do Collaborate with multiple departments to identify and clarify their data requirements Develop and refine data models to highlight important trends and patterns Apply advanced analytical tools to examine sizable and diverse datasets Communicate insights and recommendations to stakeholders in a clear, practical manner About FanDuel FanDuel Inc. operates in the sports entertainment sector, using data-driven approaches to inform decisions and create stronger experiences for its users.

THE POSITIONJoin our dynamic team at FanDuel Group as a Data Analyst! This is your opportunity to contribute to our mission through data-driven insights that will influence business decisions across various commercial teams.As a Data Analyst, you will collaborate with fellow analysts to generate actionable insights regarding customer behavior, year-over-year trends, and key performance indicators. You will play a vital role in enhancing our tools, models, and data visualizations to support the overall growth of the business.Along with your primary responsibilities, you may be tasked with additional duties as required by the company, ensuring we remain flexible and responsive to our evolving business landscape.

About the Role Konrad Group is hiring a Senior Data Analyst in Toronto. This position focuses on turning complex data into clear insights that shape company strategy and support teams across the organization. What You Will Do Analyze large and varied data sets to uncover trends and opportunities Translate findings into actionable recommendations for business leaders Work closely with cross-functional teams to support data-driven decisions Help refine and improve existing strategies using data analysis Location This role is based in Toronto.

As a Senior Analyst in Supply Analytics at Agoda, you will play a pivotal role in driving data-driven strategies to enhance our supply chain efficiency. You will leverage advanced analytics and collaborate with cross-functional teams to optimize supply performance and improve overall business outcomes. This is your opportunity to contribute to a dynamic and innovative team in a global leading online travel agency.

About the RoleJoin our innovative team at Cosmo as a Data Analyst, where you will play a pivotal role in leveraging data to enhance our product offerings, customer experience, and operational efficiency. This position involves close collaboration with diverse teams to establish robust analytics frameworks, generate actionable insights, and steer strategic initiatives through data-driven decision-making.Key ResponsibilitiesCollaborate with cross-functional teams to identify data needs and create comprehensive dashboards, curated datasets, and reporting tools essential for daily operations.Design and maintain analytical data models that facilitate scalable and reliable data analysis.Provide insights into customer behavior, product performance, and subscription metrics to inform decisions across Product, Marketing, and Operations.Create and implement predictive models (e.g., churn risk, customer lifetime value, propensity scoring) and integrate outputs into operational dashboards.Automate regular analyses, segmentation strategies, and reporting processes to enhance efficiency and reduce manual workloads.Lead initiatives for data unification, including evaluating data sources, strategizing integration, and designing canonical datasets.Contribute to best practices in analytics and data engineering, focusing on documentation, validation, and data quality standards.

Join our dynamic team at Konrad Group as a Data Analyst, where you will play a pivotal role in transforming data into actionable insights. Your analytical skills will help drive strategic decisions and foster innovation within our projects. You will collaborate with cross-functional teams to collect, analyze, and interpret complex data sets, ensuring our solutions are data-driven and aligned with business objectives.

About the Role Tipalti is searching for a Data Analyst to join the analytics team in Toronto, Ontario. This role centers on connecting data from across the business to help drive strategic growth. The analyst will work closely with information from sales, operations, and finance, building a clear picture of the company’s financial journey, from prospecting and supplier onboarding through payment processing to revenue realization. What You’ll Do Analyze and interpret data from sales, operational processes, and financial outcomes Synthesize findings into actionable insights that support business strategy Track and report on the full financial lifecycle, including supplier onboarding and payment flows Collaborate with teams across the organization to provide data-driven recommendations About Tipalti Tipalti builds finance automation solutions for mid-market companies worldwide. Our AI-powered platform streamlines accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury management. Over 6,000 companies trust Tipalti to pay millions of suppliers in more than 200 countries and 120 currencies. We work with partners such as Citi, Wells Fargo, J.P. Morgan, and Visa. Our Culture and Benefits Collaborative and inclusive environment Competitive benefits package Flexible work arrangements Career coaching and growth opportunities Tipalti values diverse perspectives and collective achievement. Team members are encouraged to make a real impact and grow their careers. Our Global Presence Founded in Israel in 2010, Tipalti is headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi, and Medellin.

Join Lyft as a Senior Privacy Analyst, where you will play a crucial role in ensuring that our privacy practices align with industry standards and regulations. You will be responsible for assessing privacy risks and implementing solutions to protect user data, while collaborating with various teams across the organization. Your expertise will help us maintain trust with our users and drive our commitment to safeguarding their information.

Join the Government of Ontario as a Senior EMS Analyst, where you will play a vital role in enhancing emergency management systems. This position involves analyzing data, developing reports, and providing strategic insights to ensure efficient operation and planning.

FacilityOS, a Toronto-based B2B SaaS company, develops a platform designed to help businesses strengthen safety, security, compliance, and operational efficiency. The team operates in the city’s tech hub and values active collaboration, idea sharing, and recognizing each member’s contributions. The Senior Financial Analyst role sits within the finance team in Toronto. This position blends structured financial planning with hands-on business analysis, supporting both day-to-day operations and long-term strategy. The analyst works closely with Finance leadership and teams across FacilityOS, contributing to finance transformation projects and company-wide initiatives. Key Responsibilities Work with Finance leadership and cross-functional teams to deliver financial insights that inform company decisions Lead and support budgeting, forecasting, and financial reporting processes Drive and participate in finance transformation and systems enhancement projects Evaluate and help roll out a new FP&A planning tool Manage ad-hoc analysis and respond to requests from company leadership Contribute to projects that improve finance operations and processes How the Finance Team Operates FacilityOS encourages ownership, curiosity, and continuous improvement within the finance function. The team uses tools like Sage Intacct, Salesforce, and Expensify, and regularly updates its technology to match company growth. This position is based in Toronto and requires in-office work at least two days per week.

adf Medical Services Inc. is hiring a Data Analyst based in Toronto, Ontario. This role centers on interpreting data and presenting findings as actionable insights. The analysis directly supports decision-making and aims to improve the quality of medical services provided. Key Responsibilities Examine complex datasets to uncover trends and patterns relevant to the organization Create reports that guide both business and clinical choices Contribute to ongoing initiatives by offering data-driven recommendations to enhance medical services Location This position is located in Toronto, Ontario, Canada.

Konrad Group, a digital consultancy based in Toronto, focuses on building digital products for clients worldwide. The team values analytical thinking, curiosity, and continuous learning while tackling complex business problems. Role overview The Senior Data Engineer develops and maintains scalable data platforms and pipelines. This position works closely with data analysts, scientists, and engineers to deliver secure and reliable data solutions. Key technologies include Azure Fabric, Databricks, and Snowflake. Main responsibilities Design and build scalable data pipelines and architectures. Create solutions using cloud platforms such as Azure Fabric, Databricks, and Snowflake. Optimize data workflows for reliability, scalability, and performance. Collaborate with internal teams to understand data requirements and deliver tailored solutions. Maintain data security and adhere to industry standards and best practices. Support data modeling, extraction, transformation, and loading (ETL/ELT) processes. Recommend strategies to enhance data quality and analytical capabilities. Location This position is based in Toronto.

Join creatoriq as a Senior Data Engineer specializing in Reporting. In this pivotal role, you will leverage your expertise to design and implement robust data infrastructure, enabling our team to transform complex datasets into valuable insights. Your contributions will directly influence our reporting processes and drive data-driven decision-making across the organization.

At Relay, we empower self-made entrepreneurs with a digital banking platform that enhances financial clarity, confidence, and control. Our innovative approach transforms cash flow management from a source of stress into a powerful tool for business resilience. Our mission is to elevate the success rate of small businesses, moving beyond traditional banking limitations to enable growth and collaboration.We are seeking a Senior Data Engineer to play a pivotal role in scaling our data ecosystem during an exciting phase of growth. This is your chance to influence how we evolve our data and analytics stack, ensuring our teams have timely access to the right data for optimal decision-making.Note: Our team collaborates in a hybrid environment, working in the office three days a week (Tuesday to Thursday).Your Responsibilities:Design and implement data models using DBT within our Snowflake data warehouse, facilitating secure, privacy-preserving analytics.Ensure the scalability of technologies and processes that support our data platform as Relay grows.Develop data tools, workflows, and APIs for technical teams to access and engage with our data platform.Collaborate with stakeholders to resolve data-related technical challenges and support their infrastructure needs.Construct systems to monitor core KPIs, ensuring teams have the accurate, timely data necessary for effective operations.Partner with Trust, Security, and Governance teams to safeguard customer data through best practices in security and compliance.Qualifications:A minimum of 3 years of experience in Data Engineering.Proficiency in data modeling, data warehousing, and analytics.Experience with DBT and Snowflake or similar technologies.Strong problem-solving skills and the ability to work collaboratively in a team-oriented environment.

Relay is an innovative digital banking platform designed to empower self-made entrepreneurs with essential financial tools and insights. Our mission is to eliminate financial uncertainty, providing clarity, confidence, and control over every dollar earned, enabling business owners to transform their hard work into enduring success.We are seeking an experienced Senior Data Scientist to join our impactful Data team. In this pivotal role, you will enhance Relay's data capabilities by developing predictive models, facilitating experimentation across various teams, and supporting data-driven decision-making processes. As a key strategic partner, you will collaborate closely with data engineering and business intelligence to translate complex business inquiries into actionable insights that drive success in GTM, Sales, Finance, and Product.Note: We operate in a hybrid work environment, collaborating in the office three days a week (Tuesday to Thursday).Key ResponsibilitiesLead predictive modeling initiatives across critical business areas such as customer lifetime value (LTV), churn analysis, retention strategies, and customer quality assessment.Facilitate the implementation of Relay's experiment infrastructure, establishing rigorous A/B testing protocols to enable confident, data-informed decisions across the organization.Collaborate with cross-functional teams including GTM, Sales, Finance, and Product to convert ambiguous business challenges into well-defined analytical problems with measurable outcomes.Define and refine core metric definitions to ensure the business operates from a consistent and reliable data foundation.Present insights and findings to stakeholders through compelling narratives that go beyond mere numbers, illustrating their implications and next steps.Contribute to strategic roadmap planning and influence prioritization decisions among data team members and cross-functional partners.Mentor junior data scientists to elevate the standard of business-aligned, impactful data science across the team.Ideal Candidate ProfileYou possess hands-on experience in building...

CookUnity seeks a Senior Accounting Analyst to strengthen its finance team in Toronto. This position centers on accurate financial reporting and clear analysis to support business decisions. Role overview The Senior Accounting Analyst collaborates with teams throughout the company to refine financial processes. Regular interaction with different departments helps identify areas for improvement and contributes to smoother operations. What you will do Maintain accurate financial records and reports Analyze financial data to support company decision-making Work with other teams to enhance financial processes Help drive operational efficiency through process improvements Location This role is based in Toronto, Ontario, Canada.

Join Gorgias as a Senior Data Scientist and play a pivotal role in transforming our data into actionable insights. In this position, you will leverage your expertise in statistical analysis, machine learning, and data visualization to enhance our customer experience and drive strategic decision-making. Collaborate with cross-functional teams to develop innovative solutions and contribute to our mission of providing top-notch support for e-commerce businesses.

FanDuel Inc. is hiring an AML and Sanctions Operations Manager based in Toronto. This position plays a central role in ensuring the company meets its anti-money laundering and sanctions obligations. The manager guides a team dedicated to compliance and collaborates with other departments to strengthen the company’s defenses against financial crime risk. What you will do Lead and support a team handling AML and sanctions operations Develop and enhance operational processes to satisfy regulatory standards Partner with teams across the business to improve compliance systems Advise on risk mitigation strategies related to financial crimes Role focus This role centers on building and refining compliance processes, guiding a team, and working closely with colleagues to address financial crime risks. The manager’s work directly shapes FanDuel’s approach to AML and sanctions obligations.

About Borrowell:At Borrowell, our mission is to empower Canadians to take charge of their financial futures. We provide the necessary tools and insights to help individuals understand, build, and effectively utilize their credit. Currently, 1 in 10 Canadians rely on Borrowell for extensive credit monitoring and tailored insights. Our innovative offerings, such as Credit Builder and rent reporting, assist consumers in enhancing their credit profiles, enabling access to a broader array of financial products at more competitive rates. Additionally, we deliver personalized financial product recommendations from Canada's most trusted providers, aligning with each member's credit profile and financial aspirations.Our team thrives on diversity, inclusivity, and a shared commitment to making a significant difference in the lives of Canadians. We cultivate a collaborative, humble, and innovative culture. If you are eager to join a company that is reshaping the financial landscape and empowering Canadians to achieve their financial goals, we encourage you to explore career opportunities at Borrowell. Together, we can inspire confidence in managing money.About the Role:As a Senior Data Scientist, you will be pivotal in shaping Borrowell's core machine learning capabilities and guiding product direction through data-informed decisions. You will collaborate closely with leaders from Product, Business, Data, and Engineering to design, build, and scale machine learning systems that enhance member experiences, drive our recommendation and ranking engines, and directly influence marketplace conversion and approval metrics.This role is hands-on and product-oriented, granting you end-to-end ownership—from problem identification and model design to testing, measurement, and iteration within production. You are expected to serve as a technical leader, establishing modeling directions and elevating data science standards across the organization.In your first year, you can anticipate:Leading impactful machine learning initiatives, including crucial technical and product trade-off decisions, with the aim of improving business KPIs through product ranking, intent prediction, and approval likelihood models.Translating strategic objectives into actionable models, collaborating with Product and Business stakeholders to define complex business goals as clear machine learning problems, success metrics, and experimental plans.Building, evaluating, and continuously refining production models by developing robust features, training, calibrating models, and enhancing performance through systematic evaluation and A/B testing.Driving measurable business results by correlating model performance with conversion rates, approval statistics, revenue, and member engagement, and effectively communicating the impact to stakeholders.Establishing best practices for experimentation and model deployment.

Join Lyft as a Senior Data Engineer and play a pivotal role in creating scalable data solutions that enhance our services and drive our business forward. You will work closely with cross-functional teams to design, build, and maintain data pipelines that support analytics and machine learning initiatives.