Executive Data Science Analytics Engineer, Business Intelligence

Jakarta - Indonesia

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

Team:Data Science & Analytics

Location:Jakarta (WorkFromOffice)

The Opportunity:

Our Data Science team is the engine that powers data-driven decision-making across the organization. We areseekinga highly analytical and technically skilled Analytics Engineer to transform complex datasets into actionable this mission-critical role you willownthe end-to-end development of our business intelligence solutionsfrom 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 andoptimizeperformance through data.

Key Responsibilities:

Design build andmaintainrobust 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 isaccurate 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:

Bachelors degree in Computer Science Engineering Statistics Economics or a related quantitative field.

1 years of hands-on experience ina dataengineering business intelligence or data analytics role.

Expert-levelproficiencyin 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) particularlyBigQuery 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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Required Experience:

Team:Data Science & AnalyticsLocation:Jakarta (WorkFromOffice)The Opportunity:Our Data Science team is the engine that powers data-driven decision-making across the organization. We areseekinga highly analytical and technically skilled Analytics Engineer to transform complex datasets into actionable...