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Top Analytics Jobs in Ottawa
Seeking a Senior Analyst in Data & Analytics to utilize advanced analytical algorithms and technologies to mine and analyze large sets of structured and unstructured data. Responsibilities include developing predictive models, designing solutions for smarter business decisions, and collaborating with other data professionals to optimize analysis.
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 Manager of BI & Analytics will collaborate with stakeholders to develop impactful business intelligence visualizations, dashboards, and reports. They will enhance data-driven decision-making, coordinate tool integration, provide insights on visualization platforms, and drive data acculturation initiatives across the organization.
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.
The Manager, Digital Channel Analytics leads the development of advanced analytic solutions for Digital Channels, collaborating with management and stakeholders. The role involves analyzing customer interactions, driving omni-channel strategies, and presenting insights to facilitate informed decision making. The manager will also curate data, automate visualizations in Power BI, and apply predictive analysis to enhance digital functionalities.
The Lead DBT/Analytics Engineer will develop cloud architecture solutions, data models, and processes for data storage and retrieval. They will work collaboratively with a team to manage information systems, migrate data to cloud solutions, and ensure system performance while coordinating with stakeholders for future requirements.
As a Data Architect at Tiger Analytics, you will be responsible for designing and implementing data solutions aligned with business goals. This involves developing data architecture blueprints, optimizing Snowflake performance, and collaborating with stakeholders to translate requirements into technical specifications. You will also ensure data governance and lead the adoption of new technologies while working in a team for data visualization and reporting.
As the Data & Analytics Lead for Plan to Fulfill, you will oversee data ownership, analysis, and modeling within SAP S/4HANA transformation efforts. Responsibilities include data collection and cleaning, statistical analysis, reporting, data visualization, and ensuring data integrity. You will collaborate with cross-functional teams to solve business challenges using data-driven solutions and stay current with industry trends.
The role involves leading the Data & Analytics domain for the Source to Pay process under the SAP S/4HANA implementation, ensuring data accuracy, modeling, analysis, and reporting to support digital transformation. The candidate will solve business challenges using data-driven solutions and collaborate with cross-functional teams.
The SAP S/4HANA Finance Data & Analytics Lead will oversee data and analytics solutions for the Pet Nutrition division, ensuring successful digital transformation. Responsibilities include data collection, analysis, modeling, visualization, and collaborating for data-driven solutions.
The Senior Digital Lead for Data & Analytics in Pet Nutrition will oversee data collection, analysis, reporting, and integrity within the ERP transformation. This role requires deep expertise in data and analytics engineering, working closely with teams to deliver insights and support decision-making processes. The successful candidate will also design predictive models and ensure high-quality data practices, while keeping up with industry trends.
As an Optical Algorithms and Analytics Engineer, you will develop algorithms and models to optimize the performance of photonic devices. This includes performing data analysis on large datasets, collaborating with cross-functional teams, and conducting experiments in an R&D lab to characterize new products.
The role involves leading the Data & Analytics for the Lead to Cash process in a major SAP S/4HANA transformation at Mars Pet Nutrition. Responsibilities include data collection, cleaning, analysis, visualization, and modeling to support digital transformation and decision-making.
As a Strategy & Analytics Manager at Mission Lane, you will lead product launches, enhance underwriting strategies, analyze customer data, and drive cross-functional improvements to optimize product offerings and increase profitability.
The Senior Analytics Engineer manages the implementation and maintenance of digital tag management systems, collaborates with other teams to enhance analytics practices, and provides consulting on analytics techniques. They ensure high-quality data integration and reporting to support clients' digital transformation efforts.
The Analytics Engineer at Minitab supports customer success by providing technical assistance, resolving inquiries, documenting customer feedback, and improving product deployment processes. They collaborate with cross-functional teams to enhance customer experience and ensure product functionality aligns with customer needs.
The Analytics Engineer is responsible for building data warehouses and analytics systems in the cloud, analyzing data to identify trends, and providing insights to enhance marketing and business practices. The role involves using visualization tools, SQL scripting, and supporting teams in the development of tools and database maintenance.
The Client Analytics Partner at StackAdapt develops data-driven strategies for clients, translating analytics into actionable insights, leading client deliverables, and collaborating with teams to improve campaign performance. The role requires strong analytical skills and effective communication with clients, focusing on programmatic advertising and data visualization tools.
The Data Scientist will use data to inform team goals and influence business decisions, drive improvements in operational processes through data analysis, and explore statistical models to understand business dynamics. They will work with stakeholders to ensure data integrity and communicate results effectively.
As a Data Analyst at Stripe, you will leverage data to support business decisions, extract insights from large datasets, build metrics and dashboards, and deliver actionable business recommendations. Collaboration with cross-functional teams and managing multiple projects with attention to detail are key responsibilities.
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