Build AI Worker VoiceAgent’s web frontend, designing visual interfaces and admin features, selecting architecture, and delivering releases with TypeScript and React in a hybrid office/home role.
About this role
This full-time data analyst and data consultant role sits in the Video Division's newly established data consultant team. The team supports large clients' marketing through video media and aims to visualize and forecast the ROI of advertising investment using data.
The role is responsible for analysis design and requirements definition. Day-to-day work includes defining data requirements, designing data pipelines, designing, implementing and reporting marketing mix modeling (MMM) for advertisers, and designing and conducting exposure-contribution analyses using data clean rooms (DCR). The analyst will verify advertising effectiveness using causal-inference methods such as Causal Impact, and translate analytical findings into decision-support consulting for sales staff and clients, including strategy and initiative proposals.
The role covers the process from analysis through initiative planning and execution, effectiveness validation, and identifying next actions. It also involves helping establish the team, develop its operating structure and analytical methods, and support case development during its 0-to-1 phase.
Applicants need a four-year university degree or higher, practical data analysis using SQL and Python, and client proposal and negotiation experience. Cloud data platforms, statistics or causal inference, and documenting analysis designs are preferred.
Preferred qualifications include implementation experience with MMM, Causal Impact or PSM; practical experience in Bayesian statistics, time-series analysis or machine-learning modeling; analytics experience in advertising or marketing; implementation experience with BI tools such as Tableau or Looker; domain knowledge in HR, finance, real estate or FMCG; and a master's degree or higher in mathematics, statistics or information-related fields, or Statistics Certification Pre-1 level or above.
In principle, office days are Monday, Wednesday and Friday, with remote work on Tuesday and Thursday.
The selection process consists of two to three interviews, including one in-person interview.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Advise clients on data strategy, build DWH and BI foundations, and use SQL, Python, machine learning and CRM analytics to improve marketing, forecasting and business operations.
Lead requirements definition and delivery of client-specific AI agents for advertising and marketing, coordinating stakeholders and supporting clients’ AI transformation in a hybrid Tokyo role.
Lead DCC tool and plugin development, using advanced Maya Python tools, technical direction and broad knowledge of game-development workflows.
Lead the product design team and manage the design process from concept to execution, focusing on user experience and value delivery.
Design and build AWS and Azure cloud platforms for client projects, from on-premise migrations to cloud-native and data-analytics systems, using IaC, containers and monitoring.