Executive Data Science - Analytics Engineer, Business Intelligence

Posted 15 Days Ago
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DKI Jakarta
In-Office
Junior
AdTech • Marketing Tech
The Role
The role is responsible for building data pipelines, developing dashboards, and optimizing data quality for informing business strategy.
Summary Generated by Built In

Team: Data Science & Analytics 

Location: Jakarta (Work From Office) 

The Opportunity: 

Our Data Science team is the engine that powers data-driven decision-making across the organization. We are seeking a highly analytical and technically skilled Analytics Engineer to transform complex datasets into actionable insights. In this mission-critical role, you will own the end-to-end development of our business intelligence solutions—from data modeling and pipeline construction to the final dashboard that informs executive strategy. You will be a key partner to our business stakeholders, helping them measure campaign effectiveness and optimize performance through data. 

Key Responsibilities: 

  • Design, build, and maintain robust and scalable ELT/ETL pipelines using Python, SQL, and cloud-native tools (GCP: BigQuery, Dataflow, Airflow). 
  • Develop and manage curated, analytics-ready data models in our data warehouse, ensuring data is accurate, performant, and easy to use. 
  • Translate business requirements into technical specifications for insightful and intuitive dashboards and reports using tools like Power BI, Tableau, or Looker. 
  • Act as the subject matter expert for our media and marketing datasets, providing stakeholders with clear, data-backed narratives and performance analysis. 
  • Implement and champion data quality frameworks and data governance best practices to ensure the integrity and reliability of our reporting. 
  • Collaborate with data scientists to support analytical deep-dives, A/B testing, and other experimental design initiatives. 

Minimum Qualifications: 

  • Bachelor's degree in Computer Science, Engineering, Statistics, Economics, or a related quantitative field. 
  • 1+ years of hands-on experience in a data engineering, business intelligence, or data analytics role. 
  • Expert-level proficiency in SQL for complex querying, data manipulation, and performance tuning on large-scale datasets. 
  • Strong programming skills in Python for data processing and automation. 
  • Demonstrable experience building and delivering production-level dashboards using at least one major BI tool (e.g., Power BI, Tableau, Looker). 

Preferred Qualifications: 

  • Proven experience working with media agency or digital marketing data (e.g., impressions, GRPs, CPM, reach, frequency, brand lift studies). 
  • Deep understanding of the digital advertising campaign lifecycle, media planning, and brand measurement frameworks (e.g., Marketing Mix Modeling, Multi-Touch Attribution). 
  • Hands-on experience with Google Cloud Platform (GCP), particularly BigQuery, and workflow orchestration tools like Airflow. 
  • Exceptional communication and presentation skills, with a proven ability to explain complex technical concepts to non-technical audiences. 

 

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Top Skills

Airflow
BigQuery
Dataflow
GCP
Looker
Power BI
Python
SQL
Tableau
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The Company
HQ: London
90,589 Employees

What We Do

WPP is a creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities.

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