Data Engineer at Regions Bank focusing on designing and maintaining data structures for analytics. Collaborating with technical teams to deliver data - driven business value and products.
About the role
- Senior Analytics Engineer transforming raw data into actionable insights for business teams. Collaborating across departments to deliver analytics solutions and ensure data quality.
Responsibilities
- 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?
- 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.
Requirements
- 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.
Benefits
- 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.
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