Remote Senior Analytics Engineer

ABOUT APPLY DIGITAL

Apply Digital is a global experience transformation partner. We drive AI-powered change and measurable impact across complex, multi-brand ecosystems. Leveraging expertise that spans across the customer experience lifecycle from strategy, design to engineering and beyond, we enable our clients to modernize their organizations and maximize value for their business and customers.

Our 750+ team members have helped transform global companies like Kraft Heinz, NFL, Moderna, Lululemon, Dropbox, Atlassian, A+E Networks, and The Very Group. 

Apply Digital was founded in 2016 in Vancouver, Canada. In the past nine years, we have grown to ten cities across North America, South America, the UK, Europe, and India.

At Apply Digital, we believe in the “ One Team ” approach, where we operate within a ‘pod’ structure. Each pod brings together senior leadership, subject matter experts, and cross-functional skill sets, all working within a common tech and delivery framework. This structure is underpinned by well-oiled scrum and sprint cadences, keeping teams in step to release often and retrospectives to ensure we progress toward the desired outcomes. 

Wherever we work in the world, we envision Apply Digital as a safe, empowered, respectful and fun community for people, every single day. Together, we work to embody our SHAPE (smart, humble, active, positive, and excellent) values and make Apply Digital a space for our team to connect, grow, and support each other to make a difference. 

Visit our Careers page to learn how we can unlock your potential.

LOCATION:  Apply Digital is hybrid/remote friendly. The preferred candidate should be based in either the Greater Toronto Area or the Greater Vancouver Area of Canada, working in hours that align to  ET (Eastern Timezone) or PT (Pacific Timezone).

THE ROLE:

Are you passionate about transforming raw data into clean, trusted, and insightful datasets that empower business teams to make smarter decisions? Do you thrive in fast-paced environments where collaboration, data storytelling, and scalable analytics workflows are essential? Are you excited to work cross-functionally with marketers, product teams, and UX designers to deliver end-to-end analytics solutions—from event tracking implementation to self-serve dashboards? If so, you may be ready to take on the Senior Analytics Engineer role within our team.

As a Senior Analytics Engineer, you will play a critical role in designing, modeling, and transforming data to support actionable insights across our Composable digital platforms. You’ll build and maintain scalable dbt models, optimize semantic layers, and ensure business users can explore data confidently through self-serve dashboards and curated datasets. In addition to data modeling, you’ll implement robust web and app analytics tracking using JavaScript and tools like Google Tag Manager, GA4, Segment, and Adobe Analytics.

Your work will ensure accurate and consistent event data collection to power downstream reporting, personalization, and marketing attribution. This role requires strong expertise in analytics engineering practices, SQL (BigQuery preferred), dbt, JavaScript for analytics implementation, and BI tools such as Looker or Power BI.

WHAT YOU’LL DO:

• Design, build, and maintain scalable analytics data models and transformation workflows using dbt, SQL, and cloud-based data warehouses (e.g. BigQuery, Snowflake).
• Implement and manage analytics tracking and event instrumentation using JavaScript and platforms like Google Tag Manager, GA4, Adobe Analytics, and CDPs (e.g., Segment).
• Create clean, well-documented semantic layers that power self-serve BI tools such as Looker, Power BI, or Tableau.
• Collaborate with marketing, product, UX, and strategy teams to define KPIs, business logic, and measurement frameworks aligned to business goals.
• Optimize data transformation pipelines for performance, accuracy, and maintainability, applying best practices in modular SQL development and testing.
• Ensure data quality and trust by implementing robust validation, testing, and documentation practices, including data dictionaries and lineage tracking.
• Proactively monitor and troubleshoot analytics workflows, tracking issues, and dashboard performance to ensure reliable insights delivery.
• Contribute to data governance and privacy initiatives, ensuring analytics solutions comply with regulatory requirements (e.g., GDPR, CCPA) and internal standards.
• Stay current on modern analytics tooling, frameworks, and methodologies — continuously improving workflows, documentation, and data accessibility.

WHAT WE’RE LOOKING FOR:

• Experience collaborating with remote teams across North America and Latin America, working effectively across time zones.
• 5+ years of experience in analytics engineering, data modeling, or BI development, with a focus on enabling data-driven decision-making.
• Strong proficiency in SQL for data modeling, transformations, and analytics use cases.
• Hands-on experience with dbt for transformation workflows, version control, and modular analytics engineering.
• Deep understanding of analytics tracking implementation using JavaScript, Google Tag Manager, and tools like GA4, Adobe Analytics, or Segment.
• Experience with cloud data platforms, particularly Google Cloud Platform (BigQuery, Cloud Storage).
• Familiarity with BI tools such as Looker, Power BI, or Tableau, and experience designing scalable dashboards and semantic layers.
• Strong grasp of data quality, testing frameworks, and validation best practices for reliable reporting.
• Awareness of data privacy and consent regulations (e.g., GDPR, CCPA) and how they apply to analytics tracking and reporting.
• Solid problem-solving skills with the ability to debug complex data discrepancies across tools and reports.
• Excellent communication skills, with the ability to translate business needs into data solutions and explain technical details to non-technical stakeholders.

NICE TO HAVES:

• Experience with real-time data streaming solutions (e.g., Kafka, Pub/Sub, or Kinesis).
• Familiarity with machine learning workflows and MLOps best practices.
• Knowledge of Terraform for Infrastructure as Code (IaC) in data environments.
• Familiarity with data integrations involving Contentful, Algolia, Segment, and Talon.One .

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LIFE AT APPLY DIGITAL

At Apply Digital, people are at the core of everything we do . We value your time, safety, and health, and strive to build a work community that can help you thrive and grow. Here are a few benefits we offer to support you:

Great projects: Broaden your skills on a range of engaging projects with international brands that have a global impact.

An inclusive and safe environment: We’re truly committed to building a culture where you are celebrated and everyone feels welcome and safe.

Learning opportunities: We offer generous training budgets, including partner tech certifications, custom learning plans, workshops, mentorship, and peer support.

Generous vacation policy: Work-life balance is key to our team’s success, so we offer flexible personal time offer (PTO); allowing ample time away from work to promote overall well-being.

Customizable benefits: Tailor your extended health and dental plan to your needs, priorities, and preferences.

Flexible work arrangements: We work in a variety of ways, from remote, to in-office, to a blend of both.

Apply Digital is committed to building a culture where differences are celebrated and everyone feels welcome. That’s why we value equal opportunity and nurture an inclusive workplace where our individual differences are recognized and valued.

For more information, visit the  Diversity, Equity, and Inclusion (DEI)section of our website. If you have accommodation needs at this stage of the recruitment process, please inform us as soon as possible by emailing us at [email protected] .

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.