Senior Analytics Engineer
Exact salary band and monthly in-hand breakdown will be confirmed during the ATS technical evaluation.
- Target Role:Senior Analytics Engineer
- Employer:Mercury
- Work Mode:REMOTE
- Location:Remote (Canada)
- Compensation:Competitive (Industry Standard)
- Experience:2+ Years
- Recruiter SLA:7-Day Truth Teller Guarantee
- Candidate Fee:₹0 (Zero Placement Fee Guarantee)
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About the Role
In 1989, Tim Berners-Lee wrote a proposal for CERN. CERN lost knowledge when people left, because its information was in many systems that did not connect. His solution was simple: link documents so that all people can find them and use them. That proposal became the World Wide Web. Mercury has a similar challenge with data. Teams, models, and AI agents need data that they can find, understand, and trust. We are building an AI-native data platform that enables Mercury to have reliable analytics, accelerate product development, and enable the next generation of AI-powered products and internal tools. We are hiring a Senior Analytics Engineer to help us accelerate. You’ll join a team of high-performing Data and Analytics Engineers building the shared foundations that power decisioning, automation, and measurement across the company, collaborating closely with Data Scientists and partners in Product, Engineering, and Operations. Your curiosity and bias toward action will drive meaningful impact as you build durable data products, unlock faster experimentation, and help teams ship propensity models, agentic workflows, and amazing data-driven experiences for our customers. Come grow with us. Responsibilities: Design and build scalable data pipelines and business-conformed dimensional data marts in collaboration with Data Science, Engineering, Product, and Operations departments Support the development and adoption of agentic tooling. We have our own AI Data Analyst (Hermes) and dbt Agent (Ralph) that are built and managed by our Analytics Engineers Support self-service analytics workflows, Analytics Engineering skills, and dimensional data principles through implementation, education, and peer support Help us implement the data and analytics products we’ll need to effect our bank charter Contribute to the evolution of our data quality, governance, and security strategies Contribute to our definition of Analytics Engineering standards and best practices Y
Requirements & Qualifications
- Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.
Perks & Benefits
- Official mentor support
- verified hiring timeline
- and career progression.
The employer seeks candidates proficient in the following core technologies:
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Verified Direct Application Link
Official position sourced directly from Mercury's verified career portal.
Apply directly on Mercury's portal using the link above. Use "Track with Truth Teller" to log your submission timestamp and automated 7-day follow-up countdown in your dashboard.
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What is the compensation or stipend for this role?▼
The verified package for this role is Competitive (Industry Standard) (REMOTE). RoleNest enforces transparent compensation benchmarking to eliminate guessing before candidates invest time in assessments.
Who is eligible to apply for this opening?▼
Engineers with 2+ years of experience proficient in Next.js are encouraged to apply.
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