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Top Analytics Jobs in Calgary
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 Scalability Analytics Lead will design and maintain data pipelines, dashboards, and self-service tools. This role supports the Commercial organization by enhancing operational efficiency and leveraging data insights to drive business decisions. Collaboration with various teams and integration of AI capabilities will be key responsibilities.
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.
The Enterprise Analytics Manager oversees advanced reporting solutions for data-driven decision-making in finance, collaborating with stakeholders to design digital tools that optimize business processes and support strategic initiatives. This role includes product backlog management, agile project development, and continuous learning in emerging technologies.
As a Senior Analyst in Credit Risk Analytics at BMO, you will analyze and implement credit risk models, develop stress testing methodologies, and provide actionable business recommendations. You'll work collaboratively with stakeholders to address inquiries and improve risk measurement consistency, while gaining valuable experience in risk analytics.
The Manager of Credit Optimization Strategy & Analytics will lead the development of strategies for credit card account management, employing data visualization and analytics to derive insights from business data. This role involves creating dashboards, interpreting trends, developing insights, and training non-analytical users on reporting tools.
The Scaled Analytics Partner role focuses on delivering data-driven insights and measurement solutions for mid-tier clients, collaborating with teams to ensure accurate reporting and KPI analysis. Responsibilities include managing client deliverables, conducting QA and discrepancy checks, and identifying opportunities for templated best practices in measurement adoption.
The Senior Manager, Advanced Analytics will define and implement product strategies for data analytics and AI to support business objectives, manage product lifecycles, and collaborate with teams to enhance the customer experience. The role includes risk management, strategic input for business decisions, stakeholder collaboration, and team performance improvement.
The Manager, Reporting & Analytics is responsible for leading data preparation, analysis, and reporting to support business decisions. The role involves consulting on analytical solutions, providing insights into customer behavior, and developing strategies for data quality and analytics. The manager will design tools, validate models, and ensure alignment between business needs and data requirements while collaborating with various stakeholders.
As a Senior Data Analytics Engineer, you'll build and deploy an Enterprise Data Warehouse, define data needs across functions, write data transformation code for ETL/ELT, mentor junior team members, optimize data pipelines, and ensure data quality through testing and documentation.
As a Senior Data Scientist, you will apply your expertise in AI and machine learning to develop and prototype advanced analytics engines. You will collaborate with business partners to define problems, develop analytical models, and integrate solutions into data products, while also educating on the value of data-driven decision-making.
The Consumer Credit Risk Reporting and Analytics Specialist is responsible for executing accurate risk reporting, implementing reporting solutions, and ensuring the integrity of risk data. This role involves analyzing data trends, supporting audits, and maintaining risk reporting frameworks while collaborating with both internal and external stakeholders.
The Data & Analytics Engagement Lead will drive standardisation in reporting, collaborate with various teams to ensure alignment with strategic requirements, educate users on self-service reporting, and manage relationships with IT teams and third-party partners to deliver robust reporting solutions.
The Social Insights & Analytics Apprentice will assist in analyzing social media data, develop strategic insights, and support senior analysts in implementing strategies for clients. Responsibilities include conducting research, using analytics tools, and staying updated on social media trends.
In the role of Data & Analytics Lead, you will provide data-driven insights to enhance decision-making across the organization. Responsibilities include leading business intelligence initiatives, collaborating with teams on metrics needs, analyzing data for strategic planning, and educating teams on data literacy and analytics.
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 Senior Data Analyst will lead analytics efforts for games, collaborating with LiveOps, Marketing, and Product Management. Responsibilities include overseeing reports and tables, improving data pipelines and ETL processes, and delivering impactful projects. They will manage junior analysts and maintain documentation and tools related to multiple games.
As a Data Engineer at Tiger Analytics, you will design, build, and maintain data pipelines and data infrastructure. You will work closely with data scientists and analysts to enable data-driven decision-making and ensure efficient data flow across the organization.
The Data Engineer will design databases, manage large data sets, create dashboards, and generate insights using advanced analytics. The role requires collaboration and strong analytical skills to solve business challenges using data.
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 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.
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