Beacon Communications

The Role 

As Data & Technology Director, you will be cultivating Beacon teams’ and Publicis Groupe Japan agencies to manage and empower solutions for both our agency in Japan and our key client’s most pressing challenges with regards to unlocking value in their business, media, and audience data. 

This is a capabilities building & account success remit, focused on data & analytics domains including scaling teams, coaching talents, key client delivery, and collaboration with business leadership to identify account & whitespace expansion opportunities. The successful talent will have experience and expertise in how to intersect consulting skills, data, advanced analytics, and marketing strategy to drive and improve clients’ business results. 

As a client-facing & team leadership role yourself and your team will be expected to communicate analytical & data concepts to agency peers & client(s). You will also have opportunity to engage the data capabilities & use-cases of multiple MMM/MTA platforms, Data Visualization, DMP, CDP, Data Clean Room, and Identify Resolution platforms. 

Cross Team Collaboration 

• Opportunity to grow new capabilities and talent in data, technology, and analytics domains – interface and propagate disciplines and motions in concert with our other group entities & data & analytics job families globally and in the APAC region across R&D, data. analytics, and technologies that deliver value and impact to our client(s) and Beacon 

• Work collaboratively with media & account talent within Japan, regionally, and global COEs to address client data & technology use-cases and deliverables 

• Drive a culture of ‘always on’ data driven decision making that will institutionalize the use of consumer-driven analytics in media / marketing investment insights. Provides ongoing strategic account direction/vision for technology, process and data insights 

Roles & Responsibilities 

• Create and manage trusted relationships with client counterparts and senior agency/account members, bringing value via clear, actionable data insights & results to inform critical business decisions.  

• Coach & inspire your team members to scope and manage data reporting workstreams with internal/external stakeholders to manage data logistics from multiple sources - including data specifications, transfers, structures, and rules with a focus on automation, scale, and accuracy 

• Manage your team and the broader agency client team to leverage data to that leads to impactful actions & insights against client’s measurement & analytics frameworks to drive revenue, objective, KPI, full funnel growth; inform or co-present results in QBR/QMR forum 

• Collaborate with agency team members and global COE on forecasting & delivery of business results and analytics workstreams, projects, & recommendations 

• Access, extract, and configure data from a variety of sources of all sizes (including client marketing databases, flat-file, advertising platforms and/or audience data databases) via SQL or alternative methods as required to derive insights 

• Contribute to the development of analysis and tools to improve or provide insights for business, marketing campaigns, and audience performance through evaluation of optimization models, campaign data, marketing/media mix modeling, test/learn, and audience optimization 

• Manage vendor relationships for analytics & technology platforms. Contribute to or lead local or global RFIs 

• Continual learning of changing digital industry trends, media landscape, cloud data platforms, and vendors in business, media & advertising data use-cases 

Requirements 

• B.A. or B.S., preferably in Mathematics, Statistics, Computer Science, Marketing/Advertising, related field, or relevant field experience 

• 10-14+ years of experience in a combination of one or more domains: data analytics, data science, digital advertising at vendor/agency/publisher, statistics, quantitative modeling, data/cloud software, or equivalent. 

• 5+ years proven talent management and project leadership experiences; 

• Ability to develop frameworks, learning agendas and steer complex analytics projects. 

• Working knowledge of one or more of SQL, R, Python or SPSS, or other data manipulation languages & relational databases, and Advanced Microsoft Excel, to create pivot tables and/or report content such as tables, reports, graphs, advanced formulas  

• Experience with two or more of the following advanced analytics methods: multi-touch attribution modeling (MTA), media mix modeling (MMM), media return on investment (MROI), web/site performance analytics, audience ID and/or CRM/CDP data, media performance data. 

• Working knowledge of one or more adtech or martech stacks and data platforms (e.g. CRM, CDP, DMP, Ad Serving (e.g. CM360, DART), Site Analytics, Social Listening, Identity Resolution). 

• Background in paid media analytics or trading highly recommended (e.g. programmatic or reserved display, search/SEM, video, social) Knowledge of current issues within the online media industry, such as attribution, data collection, AI, targeting and privacy highly recommended 

• Proficiency in one or more tools for data consolidation, management, and visualization such as Tableau, Looker, Domo, Airtable, Datorama, Microsoft BI, Snowflake; MS BI preferred; 

• Business level English proficiency required; Japanese language proficiency preferred. 

EMPLOYMENT TYPE: full-time (can be discussed depending on the candidates)

INTERVIEW PROCESS:  about 3 weeks to 1 month from initial phone screening to offer stage