Senior Analytics Manager

Dentsu

Job Location:

Singapore - Singapore

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Job Description:

About the job

About Dentsu

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

With a strong presence in approximately 145 countries and regions across five continents and with 65000 dedicated professionals the Dentsu Group provides a comprehensive range of client-centric integrated communications media and digital services through its five leadership brandsCarat dentsu X iProspect Dentsu Creative and Merkleas well as through Dentsu Japan Network companies including Dentsu Inc. the worlds largest single brand agency with a history of innovation.

Role Overview

As a Senior Analytics Manageryouwill drive analytics-led decision-making createhigh impactinsight narratives manageclient facingdiscussions and accelerate analytics workflows through automation and generative AI.

You will lead the design and deployment of advanced analytics andMLmodels across media measurement marketing effectiveness anddashboard visualizations.

The role includes a lightdata engineeringcomponent building ETL/ELT pipelines ensuring data quality and enabling scalable data foundations for analytics in partnership with engineering teams.

Key Responsibilities

Advanced Analytics Media Measurement & Modelling

Develop and operationalize machine learning models including Media Mix Modelling (MMM) multitouch modelling halo/incrementality analysis regressions predictive models and timeseries forecasting.
Lead experimentation frameworks including A/B testing brand lift studies and holdout/geoexperiment design.
Perform competitive benchmarking using media audience pricing SOV/SOS/SOM and market share datasets.
Conduct causal lift analysis hypothesisbased experimentation and campaign effectiveness modelling.
Integrate generative AI and agentic AI (LLMs AutoML) into modelling workflows for feature generation automation and insight summarization.
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.
Build automation tools using Python scripts dashboards and notebooks to streamline analytics workflows.
Develop selfservice analytics utilities including dashboards and automated reporting modules.
Create reusable frameworks and accelerators to standardize analytics delivery.
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

610 years of experience in data science analytics or marketing science ideally within media consulting or digital marketing analytics environments.
Strong proficiency in:
- Python (pandas scikitlearn 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.

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.

#LI-DNI

Location:

Singapore

Brand:

Iprospect

Time Type:

Full time

Contract Type:

Permanent

Required Experience:

Manager

Job Description:About the jobAbout DentsuLed by Dentsu Group Inc. (Tokyo: 4324; ISIN: JP) a pure holding company established on January 1 2020 the Dentsu Group encompasses two operational networks: dentsu japan network which oversees Dentsus agency operations in Japan and dentsu international its in...