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Staff Analytics Engineer - Manager

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The Staff Analytics Engineer role is responsible for helping to bridge the gap between business and technology, implementing data solutions to support Treasury, Capital Markets and Finance stakeholders with data-related technical implementations while supporting their data infrastructure needs.

Responsibilities

  • Serve as the Directly Responsible Individual for major sections of the Enterprise Dimensional Model related to Treasury and Capital Markets
  • Design, develop, and extend code to extend the Enterprise Dimensional Model
  • Create and maintain architecture and systems documentation
  • Maintain the Data Catalog, a scalable resource to support Self-Service and Single-source-of-truth analytics
  • Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review.
  • Help promote data innovation across the analytic data environment with a willingness to experiment and to confront hard and complex problems
  • Build trust in all interactions and with Trusted Data Development
  • Identify and resolve impediments to efficiency and enable the entire Data Program to iterate faster
  • Review and improve the data system as a whole, inclusive of data model designs, process flows, and end use cases
  • Research new data engineering and analytics methodologies with minimal guidance and support from other team members
  • Organize and Plan multi-quarter initiatives and develop the Enterprise Model Roadmap

Qualifications

  • Bachelor’s Degree in computer science or equivalent data experience in a financial services environment
  • 6 to 8 years of experience with data development and at least 3 years in Analytics Engineering
  • 4+ years experience designing, implementing, operating, and extending enterprise dimensional models
  • 4+ years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment
  • 1+ years experience building reports and dashboards in a data visualization tool
  • Experience with big data tools (Databricks, Py Spark, Fivtrans), ETL Tools like Talend and DBT, relational SQL including Postgres and MySQL and with data pipeline and workflow mgmt. tools: Jenkins, Harness, Airflow; AWS cloud services: S3, EC2, EMR, RDS and Data Lake, object-oriented/object function scripting languages (Python)
  • Demonstrated capacity to communicate complex business activities, technical requirements, and recommendations clearly and concisely
  • Demonstrated experience with one or more of the following business subject areas: finance, treasury, capital markets, marketing
  • Positive and solution-oriented mindset
  • Comfort working in a highly agile, intensely iterative environment
  • Self-motivated and self-managing, with task organizational skills
  • Demonstrated experience leading 2 or more multi-department analytics projects from inception to operationalization
  • Demonstrated proficiency with data system design, including databases, schema, marts, aggregates, and views
  • Experience introducing a new tool or technique to a multi-person team, leading to measurable productivity improvement
  • Experience with data access and security techniques, both inside and outside of a data warehouse

The US base salary range for this full-time position is $127,500- $204,000.

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