Top Analytics Jobs in Ottawa

As a Staff Analytics Engineer at Babylist, you will lead the design and implementation of scalable data solutions, drive alignment of data strategies with company objectives, and mentor team members, while leveraging extensive experience in analytics engineering.

The Analyst I, Growth Analytics role involves owning the end-to-end analytics workflow, leading cross-functional metric reviews, driving a data-driven culture, and addressing ambiguous problems through data exploration and experimentation. The candidate will collaborate with various teams to build insights that improve user engagement and business profitability.

As an Analyst in the Go-To-Market Operations & Analytics team, you will provide data-driven insights to enhance decision-making and execution in Revenue operations. This role involves creating analyses to assess performance, defining KPIs, and automating analytics processes to support segment strategies and optimize partnerships.

As an Analytics Lead, you'll oversee end-to-end research studies, analyze data, collaborate on strategy development, mentor junior team members, and create impactful insights and reports. Your role involves leveraging data to enhance client strategies and contribute to thought leadership in the marketing analytics sector.

The Advisor, Data Science and Advance Analytics at Ciena will play a key role in evolving the company's analytics capabilities from descriptive to predictive and prescriptive analytics using AI and ML. Responsibilities include collaborating with business teams, data acquisition and preparation, developing and deploying machine learning models, and ensuring AI governance.

The Bilingual Analytics Consultant transforms data into actionable insights to influence business decisions. They collaborate with clients to identify challenges, present data narratives to senior executives, and support sales efforts by crafting tailored solutions. The role involves leveraging strong analytical skills to uncover trends and ensure timely solution delivery that aligns with client strategies.

The Lead Analytics Engineer at Rewind will oversee the data function, designing robust data models and ensuring data accessibility while collaborating with C-level stakeholders to provide data-driven insights. Responsibilities include data modeling, optimizing infrastructure, and developing self-service data capabilities, alongside mentoring junior team members.

The Sr. Analyst in Process Analytics is responsible for identifying areas for improvement using data-driven analysis, facilitating workshops, and developing process maps. They support data-driven decision-making and conduct process assessments to drive efficiency and transformation. The role requires strong communication skills and knowledge of Lean Six Sigma principles to improve business processes effectively.

The Senior Director Analyst will conduct research and analysis in AI and Data Analytics, advising clients on market trends and best practices. The role involves creating high-value presentations, mentoring team members, and supporting sales initiatives. The analyst is expected to lead impactful research that addresses critical questions and drive demand for Gartner’s services.

The Process Analyst will develop and support strategic plans by performing process variance analysis, root cause analysis, process documentation, and simulation. They will assist in process mining initiatives, provide data-driven insights, document processes for automation opportunities, and identify process inefficiencies. Strong communication and analytical skills are essential.

As the Analytics Engineering Manager, you will lead the analytics engineering team, develop data solutions that drive business impact, ensure deep product understanding, and manage data pipelines while integrating AI technologies. You will oversee the creation of analytics tools while collaborating closely with product and data science teams to ensure effective data-driven decision-making.

The People Analyst at Fortis Games will advance people analytics through establishing data infrastructure, developing reports, conducting analyses, and supporting Workday operations. Responsibilities include dashboard creation, stakeholder partnership, survey management, and ensuring data accuracy and governance to drive data-driven decisions.

As a Senior Data Analytics Developer, you will contribute to building data models and data marts, as well as enhancing data observability. You will work with advanced technologies to create scalable data pipelines and collaborate with teams to define data requirements, optimize processes, and ensure data standards are met.

The Head of Analytics will lead the data and analytics team to shape the data strategy, provide actionable insights, and drive data-informed decisions across the organization. Responsibilities include collaborating with leadership to embed analytics in business strategies, ensuring scalable data infrastructure, enforcing data governance, and leading advanced analytics projects.

The Data Scientist II - Product Analytics role at Coursera involves creating dashboards, analyzing A/B test outcomes, and providing actionable data-driven insights to improve product experiences. You will collaborate with Product Managers to enhance decision-making through analytics, leveraging Coursera's extensive learner data to drive innovative product development.

The Lead of Implementation Science and Advanced Analytics will design and implement data-driven products using advanced analytical models and statistical study designs. Responsibilities include developing predictive models, collaborating with cross-functional teams, and communicating analytical findings to diverse audiences, all while championing innovation in the pharmaceutical and medical research sectors.

The Talent Analytics Specialist at Twilio will support data-driven decision-making in HR by analyzing talent data and generating actionable insights. Responsibilities include reporting on talent metrics, conducting skill gap analyses, and collaborating with stakeholders to enhance talent programs.