Executive Data Science - Analytics Engineer, Business Intelligence at WPP

Special capital Region of Jakarta, Java, Indonesia -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

0.0

Posted On

06 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Business Intelligence, Data Analytics, SQL, Python, Data Modeling, Dashboard Development, Data Quality, Data Governance, Collaboration, Media Data, Digital Marketing, Google Cloud Platform, Airflow, Communication, Presentation Skills

Industry

Advertising Services

Description

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. Please read our Privacy Notice for more information on how we process the information you provide.

Responsibilities

The role involves designing, building, and maintaining ELT/ETL pipelines and developing analytics-ready data models. Additionally, the Analytics Engineer will translate business requirements into technical specifications for dashboards and reports.