Top Analytics Jobs in Ottawa

The Product Manager oversees product lifecycle, collaborates with teams, prepares market analyses, communication strategies and executes product roadmaps to ensure product success.

The role involves conducting detailed data analysis, designing marketing experiments, developing marketing attribution models, and leveraging AI for improved insights and automation while collaborating with various teams.

As a Senior Data Analyst, you will analyze marketing performance, implement multi-touch attribution, and provide insights for strategic decisions.

Lead core product initiatives for Maze's AI assistant, coordinating cross-functional teams to understand customer needs and drive product strategy, execution, and prioritization.

The Senior Marketing Analytics Manager will conduct data analysis to guide marketing strategies, design marketing experiments, develop predictive models, and collaborate with cross-functional teams to enhance marketing insights through advanced analytics.

The Senior Manager of Strategy and Operations identifies growth opportunities, designs experiments, develops analytical models, and collaborates across departments to achieve HTS Media's growth goals while operating independently in a highly ambiguous environment.

The Customer Success Manager will educate clients on creative strategy, build relationships, and help maximize their use of Motion's platform through engagement and tailored support.

The Enterprise Account Executive will drive new business and expand relationships within large enterprise accounts, focusing on closing multi-million dollar deals, delivering ARR targets, and collaborating with internal partners to ensure customer success.

The Director of AEO/SEO will develop and oversee Quo's content and SEO strategy to enhance brand visibility, drive organic customer acquisition, and measure success across various channels.

The Senior Product Manager will lead the evolution of conversation intelligence within Genesys Cloud, driving product strategy for AI-enabled capabilities, improving customer interaction and performance outcomes through analytics and cross-functional collaboration.

The Senior Revenue Operations Manager at BioRender will design and improve lead-to-customer processes and systems, drive productivity, analyze workflows, and deliver actionable insights to enhance revenue performance while closely collaborating with various teams.

Lead the Lakehouse Analytics team, overseeing storage services, managing large-scale data systems, and mentoring engineers while collaborating across engineering functions.

As a Senior Analytics Engineer, you will architect and manage the data ecosystem, implement data pipelines, define KPIs, and partner with leadership to provide actionable insights.

The Revenue Operations Manager will drive data-informed decisions, enhance forecasting and pipeline management, and optimize processes using advanced analytics and AI initiatives.

The Senior Product Manager drives product strategy, manages product life cycle, and collaborates across teams to enhance educational analytics solutions for diverse markets.

Manage the AI Outcomes Manager team to enhance customer adoption and value realization for AI solutions. Develop training, engage stakeholders, and improve product features based on user feedback.

The Enterprise Partnerships Lead will manage the sales process to health systems, engaging C-suite leaders, and expanding partnerships while driving AI adoption.

As a Commercial Account Executive, you will drive new business and expand relationships with major enterprise accounts through effective sales strategies and collaboration with internal teams while achieving revenue targets.

The Director of Brand Marketing will lead brand growth through digital-first strategies, managing social media, influencers, and community programs while connecting brand storytelling to business performance.

Lead game analytics teams to transform player data into strategies for enhancing engagement and revenue across key titles. Manage projects, mentor analysts, and collaborate with product leaders for decision-making.

The Data Scientist will analyze large datasets, design AI agents using LLMs, and develop machine learning models for operational insights and business solutions.

The Director of Data Strategy will develop and execute a data strategy, ensuring data quality and governance across the organization, fostering collaboration among various departments for improved analytics and business outcomes.

Design and develop a Go-based instrumentation service for GitLab, ensuring data integrity and supporting product development teams with analytics and instrumentation capabilities.

Lead end-to-end product development for fundraising SaaS features: define requirements and roadmaps, collaborate with engineering, marketing, and sales, conduct market and customer research, set product positioning and KPIs, and drive launches and continuous improvement to meet business goals.

The Senior Software Engineer will focus on backend development, designing and maintaining APIs and services, collaborating on features, and enhancing integrations at Motion.