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Director, Marketing Data Analytics

Uniondale, NY, US


JOB TYPE: Permanent, FullTime

The Director of Marketing Data Analytics monitors and delivers clear, reliable digital marketing performance metrics, understands complex business data, and leverages data to understand and improve marketing business processes and initiatives. Responsibilities include hands-on data analytics (tag management), data collection, and cross-channel data integration using business intelligence software (Domo). Responsibilities The Director of Marketing Data Analytics will have the following duties and responsibilities, including but not limited to: Support the marketing analytics team in tagging maintenance, data collection, cross-channel data integration, reporting and insights, dashboards, data visualization, data mining, predictive analytics, audience measurement, brand and competitive intelligence, and site surveys. Work collaboratively with business leaders to assess business needs in order to build their BI and reporting requirements. Partner with technical product management team to develop an understanding of business process and conceptualize dashboards, scorecards, and KPI development. Responsible for accurate and timely execution of ad-hoc, routine, and project-oriented metric and reporting needs using a BI tool. Establish short-term and long-term metrics and goals including defining and enforcing data standards and best practices, and supporting the review and approval of data definitions and business rules. Evaluate reporting to identify redundancies, automated solutions, and efficiencies to minimize manual processes. Partner with IT and internal solutions teams to build a team environment to perform analyses such as: advertising performance analysis, website analytics, customer segmentation, survey design and analysis, ROI modeling, lifetime value analysis, cross channel analysis, media mix analysis and brand research. Work with the strategy and planning teams to design, implement and measure KPIs for off-line and on-line marketing programs (including extensive web analytics). Qualifications: Education: Bachelor’s degree (Master’s degree preferred) required with a major in Information Systems, Computer Science or Engineering, Business, Statistics or Math, or equivalent combination of education and experience. Experience: 5 years of professional and hands-on experience working in an analytical role developing media mix models, multi-channel attribution, and marketing data strategy using BI tools, SQL, R and or Python. Knowledge/Skills/Abilities: Experience working with various BI tools (e.g., Tableau, DOMO, Informatica, Alteryx) and integrating various first-, second-, and third-party data sources. Extensive knowledge of SQL, R, Python, and ETL techniques that enable multivariate analyses, predictive analytics, and Data modeling. Strong understanding of analytics process—strategy, tracking, reporting, analysis, and actionable recommendations. Expertise in analyzing large amounts of customer data to isolate key trends and business opportunities. Adept at translating raw data into a compelling narrative with actionable recommendations that directly address key business needs. Experience partnering across multiple business, servicing and product teams. Excellent communication skills with the ability to speak effectively to senior leadership and internal/external stakeholders. Demonstrated ability to digest large amounts of complex data from multiple sources simultaneously and quickly to identify key metrics, drivers, and impact on customers. Detail and action-oriented with the capability to manage numerous conflicting priorities. Strategic thinker with entrepreneurial drive and passion. Excellent organizational and time management skills. Self-starter with ability to solve ambiguous/open-ended business challenges and act as an advocate for change Travel: Up to 5%