Senior Marketing Analytical Engineer

Responsible for designing, developing, implementing and maintaining data models, dashboards and reporting solutions for our Marketing Sales & Analytics teams to drive new member and product growth. • Develop and maintain BI solutions using tools like Tableau and/or Power BI. • Design and implement data models to support analytics and reporting needs. • Optimize ETL (Extract, Transform, Load) processes for efficient data transformation. • Collaborate with ET data engineers, other analysts, and business stakeholders to understand data needs and be able to translate business requirements into technical documents and project manage implementation timelines. • Ensure data accuracy, integrity, and accessibility across reporting platforms. • Create interactive dashboards and visualizations to communicate insights effectively. • Apply SQL and Python for data manipulation and automation. • Document data workflows, best practices, and technical specifications. Qualifications Bachelor's degree in computer science or quantitative analytics field such as Engineering, Statistics, Mathematics, Actuarial Sciences, Operations Research, and Data and/or Business Analytics; 8+ years of related experience in designing and implementing complex data solutions across various platforms using relational databases, nonrelational databases, data streams, and file storage/retrieval. Extensive experience building self-service reporting tools to drive actionable insights to drive omni-channel sales and service products. Comprehensive knowledge of Technology/Digital products and emerging technology platforms, applications, data analysis, research techniques, and standards. Exceptional organizational and communication skills are required to collaborate across various levels of the organization. • Expert in SQL, PYTHON, and Data Modeling. • Experience with DBT tools. • Strong proficiency with BI Tools such as Tableau, PowerBI. • Expertise with cloud-based data warehouses. • Experience with web analytics tools such as Adobe Analytics or Google Analytics. • Expertise on planning, delivery, stitching, and managing data so it is easily consumed by business partners. • Expertise in data hygiene, root cause analysis, identification and correction of data discrepancies • Excellent communication and problem-solving skills. • Ability to work in agile development environments. • Familiarity with data governance and security best practices.