Analytics Engineer, Business Intelligence at WPP

Special capital Region of Jakarta, Java, Indonesia -

Full Time

Start Date

Immediate

Expiry Date

27 Apr, 26

Salary

0.0

Posted On

27 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Modeling, Python, SQL, Cloud-Native Tools, Data Warehouse, Business Intelligence, Dashboard Development, Data Quality, Data Governance, A/B Testing, Media Data, Digital Marketing, Google Cloud Platform, Communication Skills, Presentation Skills

Industry

Advertising Services

Description

Job Title: Analytics Engineer, Business Intelligence 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. About WPP Media WPP Media is WPP’s global media collective, bringing together world-class media agencies, talent, and capabilities. We partner with clients to unlock growth by combining strategic thinking, creativity, and performance-driven media solutions. At WPP Media, our people and culture are at the heart of everything we do. We believe in strong collaboration, trust, and continuous growth to deliver exceptional results for our clients and meaningful experiences for our teams. Our Core Values We're Open: we build trust and enhance understanding by working collaboratively - across our teams, clients, and partners. We're Optimistic: we adopt a growth mindset throughout our business, embracing change to unlock our collective potential. We're Extraordinary: in pursuit of innovation and growth, we push boundaries and challenge ordinary thinking and the status quo Please read our Privacy Notice for more information on how we process the information you provide.

Responsibilities

The Analytics Engineer will design, build, and maintain ELT/ETL pipelines and develop analytics-ready data models. They will also translate business requirements into technical specifications for dashboards and reports.