Danone Indonesia Jobs: Data Analytics Lead & Data Engineer

Danone Indonesia Jobs: Data Analytics Lead & Data Engineer

Dedicated to our mission; to bring health through food to as many people as possible, we are a leading global food company built on four business lines:

Essential Dairy and Plant-Based Products,


Early Life Nutrition, and

Advanced Medical Nutrition.

Through our mission and dual commitment to business success and social progress, the company aims to build a healthier world, for all our stakeholders—its 100,000 employees, consumers, customers, suppliers, shareholders, and all the communities with which it engages. 

Headquartered in Paris, we are a presence in over 120 countries globally. In 2018, we generated sales of €24.7 billion, with more than half, came from emerging countries. Our brand portfolio includes both international brands (Activia, Actimel, Danette, Danonino, Danio, Evian, Volvic, Nutrilon / Aptamil, Nutricia) and local brands (Oikos, Prostokvashino, Aqua, Bonafont, Mizone, Bl├ędina, Cow & Gate). 

At Danone Group in Indonesia, more than 15,000 employees share the same values of HOPE (Humanism, Openness, Proximity, and Enthusiasm) that underlie our unique company culture and identity. These values embody our past and our ambition for the future. They guide the way we work, live together, and interact with our different stakeholders.

We bring those four values into life with CODES (Creates a meaningful future; Opens connections inside and outside; Drives for sustainable results; Empowers self and diverse teams; Self-aware). CODES is our Danone's comprehensive leadership framework which describes the expected leadership competencies for each Danoner to develop, act together and realize Danone's ambition. 

Based on the framework, we focus on 5 leadership behavioral competencies we need now to support our transformation, unleash business opportunities and move faster to be future-ready: Human-Centric; Inclusive and Collaborative; Agile; Accountable and Decisive; Courageous with Empathy.

Data Analytics Lead - Jakarta

Create and implement Analytics Roadmap to build long-term excellence in advanced analytics


- Persistent and unwavering that we can create a better planet,

- Engage and inspire stakeholders, create movements,

- Advanced Analytics capability and capacity Roadmap

- Advanced Analytics capability building ~ infrastructure, tools, and process

- Advanced Analytics capacity building ~ resources, skill sets

- Prioritize and validate key data initiatives/analytics use cases

- Use case / Projects execution

-  Delivery of Adhoc request for a business team

- Work with all stakeholders to understand their problems and create innovative analytics-based solutions for them.

- Manage and monitor model performance and regularly perform updates as necessary

- Oversee development of analytics capabilities across the organization

- Deliver analytics value enablement. Direct business impact based on data/analytics initiatives

- Proactively conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance


- To be successful in this role, you would need to be:

- Experienced in the data science discipline: Machine Learning, Data mining, and predictive analytics.

- Understanding of database management (preferable big data)

- Understanding of traditional marketing discipline (segmentation, lead generation, campaign optimization, etc.)

- Understand the practical applications of analytics and the technology to make it happen.

- Full-stack communicator, Storytelling, and visualization skill.

- Strong leadership and able to work closely in cross-function team (preferable experience in working in regional/global environment)

- Programing skill: SQL (minimum) Python, R (preferable)

Data Engineer - Jakarta

Data engineers are responsible for finding trends in data sets and developing algorithms to help make raw data more useful to the enterprise. Mainly tasked with transforming data into a format that can be easily analyzed, developing, maintaining, and testing infrastructures for data generation, and work closely with data scientists


- Create and maintain optimal data pipeline architecture and actively participate in design and data model reviews providing constructive feedback to platform owners

- Ensure changes to the data environment are compliant to the architectural standards and collaborate with data governance owners to uncover and define business requirements Data Engineering, Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure or AWS ‘big data’ technologies.

- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

- Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.

- Keep our data separated and secure across national boundaries through multiple data centers

- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

- Work with data and analytics experts to strive for greater functionality in our data systems


- Computer Science, Statistics, Informatics, Information Systems or another quantitative field

- 5+ years of experience in a Data Engineer role

- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

- Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Strong analytic skills related to working with unstructured datasets.

- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.

- A successful history of manipulating, processing, and extracting value from large disconnected datasets.

- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

- Strong Agile project management and organizational skills

- Experience with big data tools: Hadoop v2, Spark, Kafka, Hive, HBase, etc.

- Experience with relational SQL and NoSQL databases, including Postgres and MongoDB.

- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

- Experience with both On-Premise Microsoft SQL Server and Azure SQL and Data Services platforms

- Experience with stream-processing systems: Storm, Spark-Streaming, etc.

- Experience with object-oriented / object function scripting languages: Python, Java, C++, Scala, etc.

- Experience reading and building data models

- Proficient working in a fully Agile (SCRUM) environment

- Excellent communication and facilitation skills

- Team-oriented collaboration skills

- Experience with Power BI preferred

Embrace the opportunity and sign up yourself through the links below. The recruitment process is free of charge. Beware of recruitment scams.

Apply now

Lead | Engineer

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