What are the responsibilities and job description for the Marketing Data Analytics & Insights Spec position at Dolby?
Conduct quantitative analyses and integrate multiple data sets—including internal metrics and market variables—to generate actionable insights that inform strategic planning. Develop and maintain data systems, dashboards, and visualizations to track the overall success of the Marketing function. Partner with global and regional marketing teams to establish processes for consistently tracking and storing key marketing metrics worldwide. Data Analysis: Analyze diverse marketing data sets to identify trends, uncover insights, measure ROI, and define metrics that align with global priorities. Apply statistical methods to evaluate correlations and causality between internal metrics and market variables. Provide data-driven recommendations to marketing leadership. Data Management & Governance: Develop and maintain structured systems for data storage, input, and reporting. Ensure accuracy, consistency, and clear ownership of data processes. Insights Reporting & Visualization: Use tools like Power BI to create and maintain global and regional dashboards, providing marketing leadership with actionable insights. Support the marketing operations team in establishing regular reporting cadences. Marketing Activity Tracking: Develop and oversee processes to consolidate and summarize campaign-level metrics globally, aligning them with broader dashboards and reports. Collaboration: Work closely with category/program managers, operations, and regional marketing teams to track and measure progress against goals. 3 years of experience in business analytics or data science, preferably in a marketing-related role. Bachelor's degree in Statistics, Data Science, Computer Science, or a related quantitative field. Proficiency in data management, statistical analysis, and research techniques. Experience with business intelligence and analytical tools (e.g., Power BI, Tableau). Strong analytical and problem-solving skills, with the ability to interpret complex data sets and generate meaningful insights. Ability to build structured systems and processes within ambiguous environments, ensuring accessibility and usability of data across teams. Skilled in translating data into digestible insights and actionable recommendations for senior leadership and internal teams. Interest in technology, entertainment, film/TV, audio, music, or gaming is a plus.