Analytics Engineer

🔥 16 hours ago

🇨🇦 Canada – Remote

💵 $110k - $135k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

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Movable Ink

WebsiteLinkedInAll Job Openings

501 - 1000 employees

📣 Marketing

✈️ Travel

🏨 Hospitality

💰 $55M Series D on 2022-04

Marketing • Travel • Hospitality

Movable Ink is a leader in personalized marketing, utilizing AI and automation to deliver tailored content to customers across various touchpoints, such as email and mobile. Their solutions, including the Movable Ink Studio and Da Vinci, empower retail, financial services, media organizations, and travel & hospitality sectors by transforming data into unique customer experiences in real-time. The company collaborates with a vast network of strategic partners, enhancing existing marketing technologies to achieve remarkable revenue and customer engagement. Movable Ink's expertise is endorsed by studies, such as the Forrester Consulting Total Economic Impact™ study, highlighting significant financial benefits for users. Through their innovative use of AI, Movable Ink drives next-level personalization and marketing performance.

📋 Description

• Build and maintain dbt models from the business vault layer through to the data mart • Add fields, refine calculations, and extend existing mart models in collaboration with the BI and Enterprise Data teams • Build new Kimball-style datasets from business vault sources when no new ingestion is required • Build and maintain AI-ready datasets for internal AI systems, ensuring structured, documented, and reliable data • Maintain and enrich the data dictionary in OpenMetadata, including definitions, lineage, and field-level documentation • Partner with business stakeholders to define reporting metrics and translate ambiguous business questions into clear definitions • Partner with BI Analysts to translate insight needs into modeling requirements • Build Tableau dashboards and reports for stakeholders, keeping logic in the data layer and Tableau data sources free from complex calculations

🎯 Requirements

• 4+ years of experience in analytics engineering, data analytics, or a similar role • Hands-on dbt experience, including writing models, tests, and documentation in a production environment • Strong SQL skills, particularly in a cloud data warehouse context • Familiarity with dimensional modeling concepts, including facts, dimensions, and slowly changing dimensions • Experience delivering analysis or dashboards to business stakeholders, not just building pipelines • Proficiency in a business intelligence tool; Tableau preferred • Experience conducting analyses involving multiple data sources and systems • Comfort working in Git-based workflows, including branching, pull requests, and code review

🏖️ Benefits

• Additional bonus depending on the position ultimately offered • Medical benefits • Financial benefits • Other benefits