Data & Analytics – RevOps Careers

Financial Data Analyst

RevOps Careers — Tue, 10 Nov 2026 21:44:12 +0000

The Financial Data Analyst will work in Finance, analyzing financial and operational data to identify trends, opportunities, and risks, and creating dashboards, reports, and visualizations to support business decisions. The Financial Data Analyst will analyze financial and operational data, create dashboards and reports, develop forecasting models, perform variance and trend analysis…

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Business/Data Analyst Praktikanter

RevOps Careers — Tue, 10 Nov 2026 21:43:40 +0000

Business/

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Reference Data Analyst – Static Data

RevOps Careers — Tue, 10 Nov 2026 21:43:33 +0000

The Reference Data Analyst will support teams by ensuring reference data is complete, consistent, and well-controlled. The role requires attention to detail, structured problem-solving, and collaboration across operations and partner groups. Process requests, investigate exceptions, and follow established controls to meet service expectations. Manage and maintain client reference data to…

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Finance Data Analyst

RevOps Careers — Tue, 10 Nov 2026 21:43:28 +0000

Join the Revenue Accounting Product team within the Finance Operations Department to analyze, build, and deliver reporting on airline passenger sales and revenue. Partner with cross-functional finance teams to translate complex business problems into concrete reporting requirements, develop and optimize SQL queries, and design and deliver visual dashboards and reports.

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Pricing Data Analyst

RevOps Careers — Tue, 10 Nov 2026 21:43:24 +0000

The Pricing Analyst is a quantitative, commercially oriented role at the intersection of data analytics, pricing strategy, product, and go-to-market execution. The analyst will primarily support pricing and commercial decisions for CRM, digital retail, and emerging AI-based solutions serving automotive dealerships and related partners. Prepare, validate, combine, and analyze commercial…

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Data Engineer

RevOps Careers — Tue, 10 Nov 2026 21:43:19 +0000

Join Pattison Food Group Ltd. as a Data Engineer in their IT team in Langley, BC, working with a large and comprehensive dataset to deliver and pioneer solutions using the latest tools and technologies. Build and maintain scalable data solutions, design and develop high-performance data pipelines, develop dimensional and analytical data models, and optimize data pipelines and models.

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Senior Product Data Analyst

RevOps Careers — Tue, 10 Nov 2026 21:43:14 +0000

A Senior Product Data Analyst will join an organic Data Analytics pod, taking analytical ownership over user behavior, core conversion funnels, and feature adoption across a high-scale global B2C platform used by millions. Translate raw, high-volume event data into actionable behavioral insights and strategic recommendations to guide the product roadmap and executive decision-making.

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Data Strategy Specialist

RevOps Careers — Tue, 10 Nov 2026 21:43:09 +0000

The Data Strategy Specialist will assess current data, processes, and tools to identify deficiencies and improvement opportunities, and define practical data strategies and requirements to support redesigned business processes and technology solutions. The Data Strategy Specialist will map current-state and future-state data flows, identify data gaps, dependencies, quality issues…

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Senior Analytics Engineer

RevOps Careers — Tue, 10 Nov 2026 21:43:02 +0000

The Senior Analytics Engineer will be part of Insulet’s Data Science & Analytics Center of Excellence and will be responsible for the data product’s portfolio ranging from BI dashboards to automated monitoring and alerting processes. Ownership, development, and maintenance of the Data Science & Analytics COE data products portfolio, identifying and delivering actionable insights…

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Data Scientist

RevOps Careers — Tue, 10 Nov 2026 21:42:55 +0000

Frame business problems as data science problems and define success metrics together with stakeholders. Perform exploratory data analysis, feature engineering and statistical analysis on large datasets using Databricks, PySpark and Spark SQL. Develop, train and validate ML models (classification, regression, forecasting, clustering, NLP) with rigorous experimentation and evaluation.

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