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Jobs(26,654)/Data Analyst Role(180)/Mercury (66) - Senior Analytics Engineer
Mercury

Mercury - Senior Analytics Engineer

Remote - Canada$167k - $167k3w ago
RemoteSeniorNABankingFintechData AnalystAnalytics EngineerdbtData QualitySnowflakeFivetranAirflow

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 • You may be a good fit if you: • Have 4+ years of Analytics or Data Engineering experience • Have expertise working in a full modern data stack including Fivetran / Airflow / Snowflake / dbt / Omni / Hex or equivalents • Are proficient with SQL and have working experience with Python • Proficient using AI agents to accelerate your and your teammates’ work • Have experience with dimensional data modeling principles and building data for scale • Treat data products as a platform by prioritizing reusable, scalable deliverables • Deliver readable code, strong tests, and quality documentation • Experiment responsibly and share what you learn so everyone benefits • Practice relentless empathy by meeting your stakeholders in Data, Product, Engineering, and beyond where they’re at and helping them succeed • Discern what’s needed from what’s wanted to deliver maximum impact • Strong candidates may additionally have: • Banking* or financial services industry experience • Experience with agentic development and/or analytics workflows • Exposure to data governance, compliance, and security best practice • A full-stack mindset and willingness to solve problems end-to-end by flexing into Data Engineering and Data Analysis • If this role interests you, we invite you to explore our public demo at demo.mercury.com. • Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Benefits

• Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers. • Our target new hire base salary ranges for this role are the following: • US employees (any location): • $166,600—$208,300 USD • Canadian employees (any location): • $157,400—$196,800 CAD

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