Top Data Jobs in Ottawa
The Data Scientist III role involves applying data management principles, advanced statistical methods, and machine learning techniques to solve business problems. Responsibilities include developing and validating analytical models, deploying them in production, conducting exploratory data analysis, and creating data visualizations. The position also requires translating business challenges into data-driven solutions and mentoring junior associates.
The Senior Data Analyst will lead data-centric projects, analyze complex datasets to uncover business insights, and communicate findings effectively to stakeholders. This role requires collaboration with product managers and engineers to ensure proper data management and governance, and to develop strategies for leveraging data to enhance business outcomes.
As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.
The Senior Data Engineer will lead small teams to develop scalable data solutions, ensuring project requirements are met through technical direction, collaboration, and adherence to best practices. Responsibilities include overseeing complex projects, conducting testing, implementing architectures, and driving efficiency.
As a Data Engineer III, you will design, develop, and implement data pipelines and integration solutions using Spark, Scala, and Google Cloud Platform. You'll collaborate with teams to ensure data quality, optimize data workflows, and monitor data pipelines for reliability while helping analysts and data scientists access necessary data sets.
The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.
The Data Engineer will build and optimize data pipelines and architectures in the cloud for international clients. Responsibilities include data warehouse development, ETL/ELT infrastructure management, building scalable data models, and ensuring data governance and security. Acting as a key collaborator with cross-functional teams, you'll enhance performance and operational efficiency.
As a Senior Data Analyst at Mission Lane, you will drive analytical outcomes for the Customer Growth team by analyzing campaign performance and implementing data-driven strategies that enhance decision-making. You will automate data processes, improve analytics systems, and provide insights to both technical and non-technical teams, ensuring high-quality results in data-driven decisions.
As a Senior Data Engineer, you'll design, build, and maintain scalable data pipelines in cloud infrastructure, collaborating with teams for data analytics and machine learning projects. Your role includes developing ETL pipelines, optimizing SQL performance, and working with both relational and NoSQL databases.
As a Data Engineer, you will develop and maintain data ingestion adapters for blockchain networks, implement data ingestion strategies, optimize latency, and collaborate with upstream data sources. You will perform data quality checks and adapt to a dynamic remote work environment.
The Senior Data Curation Engineer will develop high-quality curated data products on the Databricks platform, ensuring adherence to data curation specifications and governance standards. This role includes liaising with data stewards, implementing change requests, and maintaining documentation while following Agile methodologies.
As an Associate Data Engineer, you will work on automotive industry data, handle data processing tasks, and improve data quality and pipeline processes. You will build relationships and solve moderate scope problems with the goal of impacting internal and external products.
The Data Analyst will monitor and analyze data flows and integrations to ensure operational excellence. Responsibilities include resolving data issues, enhancing interoperability, analyzing performance metrics, and collaborating with cross-functional teams to improve data quality and integration processes.
The Product Data Analyst drives key product decisions through data and analytics. They collaborate with product teams to conduct critical analyses, identify user behavior patterns, and implement measurement plans for product analytics. They design and maintain reporting systems to support data-driven operations and decisions.
The Sr. Manager, BI & Data Visualization will lead a team in developing and maintaining data visualization and reporting solutions, transforming complex datasets into actionable insights. This role involves overseeing projects, collaborating with cross-functional teams, implementing NLQs, and driving a data culture of self-service among stakeholders.
The BI & Data Visualization Developer will design, develop, and maintain reporting solutions for business stakeholders. Responsibilities include collaborating with teams to gather requirements, developing SQL queries, and creating visual reports using tools like Power BI and Tableau, ensuring data quality and effective presentation of complex datasets.
The Data Engineer will enhance and maintain data capabilities focusing on automotive industry data. Responsibilities include developing data pipelines, resolving data issues, collaborating with stakeholders, and generating insights from complex datasets.
As a Senior Data Scientist at StackAdapt, you'll build predictive and optimization models to enhance business operations, focusing on financial decisions, client revenue predictions, and time series forecasting while collaborating with internal teams to implement ML algorithms.
The Senior Data Scientist will develop predictive models to optimize business operations, identify high-value customers, and forecast revenue trends. Responsibilities include writing production code, collaborating with data engineers, prototyping algorithms, and making data modeling accessible to non-experts.
The Data Analyst will design and implement the company's data pipeline and ETL processes, collaborating with various teams to promote data-driven decision-making. Responsibilities include developing SQL queries for reports, optimizing data flows, and evaluating infrastructure tools for analytics.
The Senior Data Analyst at Wave will enhance Data Analytics maturity by addressing business challenges, developing solutions, and creating reporting dashboards. This role necessitates collaboration with stakeholders, improving analytics practices, and applying advanced analytics to business problems.
As a Data Scientist at Sun Life, you will analyze data, build statistical models, and implement machine learning solutions. You will collaborate with a team to develop insights that support the company’s financial services and enhance client outcomes.
As a Data Engineer I, you will manage data models, ensure data fidelity and accessibility, collaborate across teams on KPIs and metrics, and enhance the analytics data stack for better efficiency and timely insights.
Responsible for managing Data & Analytics for the Source to Pay area within Mars Pet Nutrition's SAP S/4HANA transformation. This role involves building a high-performing team, ensuring effective data management, and collaborating across departments to align timelines and activities related to the project.
The role involves overseeing Data & Analytics for Lead to Cash within the Shepherd transformation program. Responsibilities include data collection and cleaning, data analysis using statistical techniques, and reporting findings to stakeholders through dashboards and visualizations. It's vital to ensure data accuracy and provide insightful analysis to guide decision-making in the digital transformation process.
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