Data Engineer

Overview

• Collaborate with stakeholders to design and implement data solutions supporting sales and marketing initiatives.
• Develop and maintain data models, dashboards, and reports for performance analysis.
• Utilize advanced data querying techniques to extract insights from enterprise systems.
• Support data governance and ensure compliance with organizational policies.
• Automate recurring data processes to improve accuracy and efficiency.
• Analyze campaign performance and provide actionable insights to stakeholders.
• Assist in database design to ensure compatibility with BI solutions.
• Communicate technical concepts effectively to non-technical audiences.

Key Responsibilities & Duties

• Develop and deploy data queries to support strategic objectives and business needs.
• Create and maintain dashboards in Power BI to visualize key metrics.
• Collaborate with cross-functional teams to understand data requirements.
• Optimize data processes and ensure data accuracy across departments.
• Support sales leadership with data pulls and pipeline activity tracking.
• Provide ad-hoc analysis to guide strategic initiatives like deposit growth.
• Monitor database performance and implement efficiency improvements.
• Troubleshoot BI tools and promote their usage across the organization.

Job Requirements

• Bachelor's degree in Computer Science, Information Systems, or Data Engineering.
• Minimum 3 years of experience analyzing financial product data on cloud-based data warehouses.
• Proficiency in SQL, data manipulation, and database management.
• Experience with MS SQL Server, Google Cloud, Snowflake, and similar platforms.
• Knowledge of BI tools like MS Power BI and Sigma Computing.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to manage deadlines and prioritize tasks in a high-pressure environment.
• Understanding of data privacy practices and laws.