Senior Business Intelligence Engineer

August 15

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Digital Matter

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Digital Matter empowers brands to take control of their digital marketing

Digital Marketing • Performance Marketing • Team & System Development • Campaign Management & Optimization • Strategic Consulting

11 - 50

Description

• Engage collaboratively with business stakeholders, translating their data visualization and analytics requirements into data visualization dashboards • Coach, manage, and identify gaps with current and future BI team needs; providing direction and prioritization of data and analytics roadmap • Conduct thorough analysis of data sources, designing a comprehensive end-to-end data processing logic • Design, develop, and maintain interactive and insightful Tableau dashboards and reports; continuing to optimize data retrieval and seamless user experience • Subject matter expert for analytical tools and techniques, primarily in business intelligence platform management • Validate the accuracy and integrity of data utilized in Tableau dashboards, ensuring reliable insights • Ensure data and analytics products are optimized for performance, scalability, and cost-efficiency • Provide training and continuous support to end-users, empowering them to effectively utilize Tableau dashboards

Requirements

• 5+ years of experience in developing BI dashboards including level of detail (LOD) expressions, parameter actions, and advanced mapping techniques • Bachelor’s Degree or BS or comparable degree in Computer Science, Information Technology, or a related field • Proven expertise in optimizing Tableau dashboard performance • Experience developing and applying predictive models and other advanced statistical approaches in a corporate or consulting setting, preferably in a marketing and sales context • Experience working with various other data sources and relational databases including AWS • Advanced experience in SQL • Advanced Excel skills for data manipulation • Strategic project planning, and BI Product management • Experience developing and applying predictive models and other advanced statistical approaches, preferably in a marketing, media, or retail context • Understanding of marketing, media and retail