Requirements

A Bachelor's Degree in Engineering, Analytics, Computer Science or related technical field. Years of demonstratable top-notch people and thought leadership. Proficient in the manipulation and analysis of data; expert with translating findings into real life solutions that tie into goals, targets and revenue efficiency producing optimization efforts. Well versed in SQL, Python, web analytics (Adobe, GA or Amplitude), Tableau, Looker, and/or Power BI or similar. Must have excellent interpersonal, oral and written skills to include formal presentation experience and the ability to prepare and present marketing presentations. Strong hands-on understanding of all facets of Digital ecosystem and related functions as well as Omni Channel Business Intelligence. Must be proficient with Microsoft Office Suite programs (Excel, Word and PowerPoint) as well as Outlook. Experienced in CRO, CPO, LTV modeling, multi-channel attribution and experimentation design and execution. Excellent organization skills; ability to prioritize and handle multiple tasks.

Job Description

Director Omni Channel Business Intelligence Team Management, Insights and Optimization Orchestrate analytical insights to ensure the ongoing digital health in an omnichannel ecosystem that can think outside the box to account for all the moving parts across the organization. Innovate, build, grow and lead team of doers to include Managers and Analysts embedded throughout the functional areas in Digital Omni Channel such as Digital Product, Digital Marketing/Media, Loyalty, CRM, and third party partners/aggregators. This hands on tactical and strategic role is a high integrity story teller who connects all transactional and customer channel data and analytic insights: this includes broad and in depth understanding of the business as a while, as well as each contributor – connected insights from upper to lower funnel and optimizing the conversion rate throughout via A/B/Mvt testing and insights, connecting the dots for return, frequency and retention optimization to increase LTV. Embed direct line resources across first party and third party commercial analytics including digital product (web and apps), digital operations and ongoing execution – tying together cohesive optimization efforts via insights, test and learn and agile best practices to drive cost efficiencies and revenue and balance across all moving parts in the ecosystem. Provide transformative and proactive solutions to continuously ensure the digital and cross functional org stays informed and is provided with real-time actionable insights. Effectively address business issues, identify and implement appropriate solutions, influence, as appropriate, business decisions, and improve overall business results. Partner with the Digital Analytics Planning and Optimization teams to orchestrate cohesive narratives across the behaviors and BI insights driving YTD actuals, budgets, and forecasts. Project manage and complete status updates on critical initiatives in timely manner. Manage and administer the Digital BI intake, consulting and adding value to the requests with each stakeholder. Communicate data and analytics nuances and remediations to stakeholders across the digital team, digital analytics peers, and broader organization. Incorporate cross functional intelligence and data science peer insights to promote advanced analytics and expanded insights. Lead full lifecycle A/B/Mvt test and learn analytics planning, charters, measurement, insights and series initiatives in partnerships with digital marketing, product, execution and operations functions. Extract data from multiple sources using standard UI and SQL based tools, combine and translate into cohesive narratives and recommendations across other digital analytics partner workstreams and the digital org as a whole. Promoting and educating others on data quality awareness, interpretation and regulatory/governance; documenting and improving standards, definitions and processes. Participate in weekly, monthly and quarterly review meetings with business leaders, prepared to answer questions, present key takeaways and findings from current trends, and provide recommendations and actionability plans supported by such. Understand, interpret and communicate our customers 360 audience segments, journey and behaviors in depth, and tie such areas into the broader scale and scope of the business. Identify audience segments, areas of focus and potential sales drivers that can work into the optimization team efforts, making such engines more accurate and essentially driving known diner sales or other MBO's. Identify opportunities to better use existing analytical tools, democratize data and analytics consumption, and automate ongoing processes and innovative solutions for stakeholders and end users across the org. Efficiently manage the team project and request queue using best practice agile methodologies and tools such as Jira.