Data Analytics Engineer

***We are unable to sponsor as this is a permanent full-time role***

***Hybrid, 3 days onsite, 2 days remote***

Responsibilities:

• Design and maintain company analytics solutions drawing from both raw and semantic data layers
• Partner with business units to gather requirements and develop targeted analytics solutions
• Create data models ensuring information availability in the analytics warehouse for analysis and dashboard development
• Help establish Data Analytics standards and collaborate with embedded business analysts to ensure adherence
• Develop comprehensive documentation and testing protocols to guarantee data accuracy and accessibility
• Identify and distribute data and analytics best practices across the team
• Continuously expand knowledge of data and analytics engineering methodologies to enhance infrastructure maintainability and reliability
• Champion self-service capabilities and data literacy among business users through semantic layer utilization, analytics platforms (Tableau, Python), and CI/CD tools
• Pursue ongoing professional development in data analytics, cloud computing, options trading, and financial risk management to improve analytics infrastructure
• Provide guidance to business-embedded data analysts in addressing analytical challenges and support ad-hoc development needs

Qualifications:

• Bachelor's or Master s degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Physics, Data Science, Electrical Engineering, Information Systems) or equivalent professional experience
• 3+ years of experience as a data analyst, data engineer, software engineer, data scientist, financial risk analyst, business intelligence analyst
• Ability to collaborate with multiple partners (e.g. Business Users, Data and Solution Architects, Data Governance and IT teams -- Data Platform Team, Systems & Infrastructure, Security, DevOps, Networking) to craft solutions that align business goals with internal processes, security, and delivery standards in mind.
• Comfortable supporting business analysts on high-priority projects
• Ability to write and optimize complex analytical (SELECT) SQL queries
• Ability to write and optimize python for custom data pipeline code (virtual environments, scripts vs. modules vs packages, functional programming, unit testing)
• Strong Experience with data viz/prep tools (preferably Tableau and Alteryx)
• Experience with a source code version control repository system, branch management, pull requests (preferably Git)
• Familiarity with services on at least one cloud computing platform, such as AWS or Azure, or a cloud data platform such as Databricks or Snowflake