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 II in Payment Analytics will drive end-to-end analytics workflows, create impactful dashboards, and collaborate cross-functionally to optimize payment user experiences. This role involves deep analysis of key metrics, experimentation, and developing data models to inform strategy and improve user engagement and profitability.

In this role, you will help define the product analytics roadmap, create analytical frameworks, and translate complex datasets into actionable insights. You'll work collaboratively across various teams to identify opportunities for growth and efficiency, influencing strategic decision-making for the organization.

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.

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 specialist will conduct catastrophe risk analysis, prepare reports, analyze events, collaborate on risk tools, and develop automated assessment tools.

The Vice President of Data Analytics will lead data-driven decision-making, oversee analytics strategies, enhance operational efficiency, and improve customer experiences.

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 Senior Analyst develops and maintains dashboards for HR using Tableau and Power BI, manages data processes, and ensures data integrity. They also identify trends, communicate findings, and provide user training.

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.

Lead the development of cloud architecture and data solutions, optimize data systems, collaborate with teams, and improve performance.

This role involves developing and validating predictive credit risk models, performing data analysis, collaborating with stakeholders, and presenting findings to leadership.

As an Analytics Engineer, you will design data pipelines, optimize data models, ensure data accuracy, and work with teams to provide actionable insights for revenue growth.

The Data Scientist will drive revenue growth through pricing strategies, A/B testing, data analysis, and collaboration with various teams to optimize product offerings.

The Data Analytics Manager will manage a team and oversee analytics for financial and travel products, providing insights and mentorship.

As an AWS Data Engineer, you will design, build, and maintain scalable data pipelines using AWS cloud infrastructure. Responsibilities include implementing data transformation workflows, optimizing performance, and collaborating with cross-functional teams on analytics and BI initiatives.

Analyzes large data sets using machine learning and AI technologies, develops predictive models, and collaborates on data-driven business decisions.