Manager/Senior Manager, Analytics

Job Description:

About Dentsu

Led by Dentsu Group Inc. (Tokyo: 4324; ISIN: JP3551520004), a pure holding company established on January 1, 2020, the Dentsu Group encompasses two operational networks: dentsu japan network, which oversees Dentsu’s agency operations in Japan, and dentsu international, its international business headquarters in London, which oversees Dentsu’s agency operations outside of Japan.

With a strong presence in approximately 145 countries and regions across five continents and with 65,000 dedicated professionals, the Dentsu Group provides a comprehensive range of client-centric integrated communications, media and digital services through its five leadership brands—Carat, dentsu X, iProspect, Dentsu Creative, and Merkle—as well as through Dentsu Japan Network companies, including Dentsu Inc., the world’s largest single brand agency with a history of innovation. The Group is also active in the production and marketing of sports and entertainment content on a global scale.

Role Overview

As a Manager, you will be a hands-on analytics leader responsible for designing and delivering advanced analytics, reporting and measurement solutions that enable data-driven decision-making for clients and internal stakeholders. You will combine strong technical expertise with business acumen to translate complex data into actionable insights, helping clients optimize marketing performance and investment decisions.

This role is predominantly an individual contributor, with responsibility for leading complex analytics engagements, developing scalable analytical solutions, and driving automation through AI-enabled capabilities.

This role is predominantly an individual contributor, with responsibility for leading complex analytics engagements, developing scalable analytical solutions, and driving automation through AI-enabled capabilities. You will also mentor a small team of analysts, provide technical guidance, and contribute to capability development across the practice.

Key Responsibilities -

Reporting Automation & AI:

• Design and develop scalable dashboards, reporting solutions, and self-service analytics products.
• Build automated analytics workflows using SQL, python, and cloud-based data platforms.
• Develop reusable analytics frameworks and accelerators that improve efficiency and consistency across projects.
• Apply generative AI and agentic AI capabilities to automate reporting, accelerate insight generation, improve documentation, and enhance analytics workflows.

Data & Analytics Excellence:

• Ensure high standards of data quality, validation, and analytical accuracy.
• Build analytics-ready datasets and collaborate with engineering teams to improve data pipelines and reporting infrastructure.
• Work with data from major marketing platforms including Google Marketing Platform, Meta, LinkedIn, TikTok, Amazon Ads, CRM, and sales systems.
• Contribute to the development of standardized measurement methodologies and best practices.

Data Governance & Infrastructure:

• Implement data validation, quality checks, and monitoring across pipelines.
• Manage API connectors for ingesting data from Google Ads, Meta Ads, DV360, CM360, LinkedIn, and other marketing platforms.
• Build and optimize analytics-ready datasets and data models powering BI dashboards and measurement frameworks.
• Collaborate with data engineering teams to maintain ETL/ELT pipelines using Python, SQL, Airflow/Composer.
• Support cloud-based deployment of ML models using CI/CD, containerization, and orchestration tools.

Client Consulting & Stakeholder Management:

• Partner with media, strategy, planning, product, and client teams to define measurement approaches and analytical solutions.
• Present analytical findings and recommendations to clients and internal stakeholders in a clear and compelling manner.
• Translate business questions into analytical frameworks, success metrics, and measurable outcomes.
• Support new business initiatives by contributing analytical expertise during pitches and solution design.

Required Skills & Experience -

Technical Expertise:

• Must have skills:
• SQL and cloud data warehouses (GCP, BigQuery, GCS).
• Data Visualization & BI Tools, specifically Power BI, Google Data Studio
• Python (pandas, scikit‑learn, pyspark, keras, num-py, ML frameworks for modelling).
• Hands-on experience in performing:
• Predictive modelling (Regression, forecasting, attribution modelling)
• Marketing analytics & media measurement
• Experience with advertising, campaign, impression, and media spend datasets.
• Familiarity with generative AI tools (LlamaIndex, LangChain, OpenAI, Copilot) to accelerate workflows.

Soft skills & personal attributes:

• Strong communication, storytelling ability, stakeholder and client management skills
• Ability to translate analytical outputs into business language.
• High analytical curiosity, attention to detail, and problem-solving strength.
• Collaborative mindset across analytics, engineering, product, strategy & media teams.
• Highly proactive and adaptable, thriving in fast-paced agency environments.
• Ability to guide teams toward analytical excellence and influence decision-making.

Inclusion and Diversity

We’re proud to be different and that starts with our people. We believe in equal opportunities for everyone. We won’t define people by their race, gender, sexual-orientation, age or disability. Individuality is what makes us great, we want everyone to bring their full self to work and create something amazing. That’s what we care about.

So, whether you’re joining us, or looking to move to a different part of the business, we work hard to make sure we create equal opportunities for everyone.

Keeping connected

Please visit our website to find out more and connect with us on social.

www.dentsu.com

#LI-DNI

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