Senior Analytics Manager

Job Description:

Key Responsibilities

Advanced Analytics, Media Measurement & Modelling

• Develop and operationalize machine learning models including Media Mix Modelling (MMM), multi‑touch modelling, halo/incrementality analysis, regressions, predictive models, and time‑series forecasting.

• Lead experimentation frameworks including A/B testing, brand lift studies, and holdout/geo‑experiment design.

• Perform competitive benchmarking using media, audience, pricing, SOV/SOS/SOM, and market share datasets.

• Conduct causal lift analysis, hypothesis‑based experimentation, and campaign effectiveness modelling.

• Integrate generative AI and agentic AI (LLMs, AutoML) into modelling workflows for feature generation, automation, and insight summarization.

Insights, Storytelling & Client Leadership

• Deliver compelling analytical narratives, simplifying complex model outputs into actionable insights.

• Lead client conversations across measurement design, modelling outcomes, optimisation strategies, and media planning recommendations.

• Manage stakeholders across media, planning, strategy, product, and engineering teams.

Automation, Tooling & AI‑Enablement

• Build automation tools using Python scripts, dashboards, and notebooks to streamline analytics workflows.

• Develop self‑service analytics utilities including dashboards and automated reporting modules.

• Create reusable frameworks and accelerators to standardize analytics delivery.

Data Engineering & Data Infrastructure

• Collaborate with data engineering teams to maintain ETL/ELT pipelines using Python, SQL, Airflow/Composer/Prefect.

• Build and optimize analytics-ready datasets and data models powering BI dashboards and measurement frameworks.

• Manage API connectors for ingesting data from Google Ads, Meta Ads, DV360, CM360, LinkedIn, and other marketing platforms.

• Implement data validation, quality checks, and monitoring across pipelines.

• Support cloud-based deployment of ML models using CI/CD, containerization, and orchestration tools.

Required Skills & Experience

Technical Expertise

• 6–10 years of experience in data science, analytics, or marketing science, ideally within media, consulting, or digital marketing analytics environments.

• Strong proficiency in:

  • Python (pandas, scikit‑learn, ML frameworks for modelling).

  • SQL and cloud data warehouses (BigQuery, Snowflake, Synapse, Redshift).

  • Google Cloud Platform (GCP) — especially BigQuery, GCS, Cloud Composer.

  • Data Visualization & BI Tools, specifically:

    • Power BI

    • Google Data Studio / Looker Studio

    • Creating dashboards for reporting, insight delivery, and campaign measurement.

• Must-have analytical expertise:

  • Media Mix Modelling (MMM)

  • Multi-touch modelling / attribution principles

  • Halo and incrementality analysis

  • Regression & forecasting models

  • Predictive modelling

  • Marketing analytics & media measurement

• Experience with advertising, campaign, impression, and media spend datasets.

• Familiarity with generative AI tools (HuggingFace, LangChain, OpenAI) to accelerate workflows.

• Experience with ML lifecycle monitoring, retraining, and performance tracking.

Soft Skills

• Strong communication and storytelling ability — able to translate analytical outputs into business language.

• Strong stakeholder and client management skills.

• High analytical curiosity, attention to detail, and problem-solving strength.

• Collaborative mindset across analytics, engineering, product, and strategy teams.

Good to Have

• Knowledge of broader media measurement approaches: MMM, MTA, competitive benchmarking, ROI modelling, influencer analytics, channel performance analysis.

• Experience with causal inference (uplift modelling, Shapley, double ML).

• Familiarity with feature stores, realtime/batch ML pipelines, MLflow/Seldon.

• Exposure to data quality frameworks like Great Expectations or Monte Carlo.

• Knowledge of containerization (Docker/Kubernetes) and MLOps practices.

Personal Attributes

• Highly proactive and adaptable, thriving in fast-paced agency environments.

• Strong collaborator with cross-functional teams.

• Ability to guide teams toward analytical excellence and influence decision-making.

Dentsu Values

Will live the dentsu 8 Ways at all times: We Dream Loud, We Inspire Change, We Team Without Limits, We All Lead, We Make It Real, We Climb High, We Choose Excitement, We Are A Force For Good

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.

#LI-DNI

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