Indonesia Job Openings
Avomind
Head of Data
Jakarta
FULL TIME
September 2, 2024
The Company
Our client is a next-gen House of Brands, building a New Retail Ecosystem of accessible, beloved and enduring consumer brands, from F&B to lifestyle services and more. They are are on a mission to deliver consumer delights and elevate urban lifestyle for Indonesian millennials and beyond:
- Powered by the best Digital Technology.
- Percolating through millennial consumers' everyday lifestyle.
- Providing seamless, personalized experiences with outstanding value-for-money and ultimate convenience.
Our client has over 200 outlets to date with +1 new store added every other day. They are creating several new brands into new categories every single year. They rapidly iterate, constantly reinvent, and obsessively experiment when it comes to product innovation and consumer experience.
Responsibilities
As Head of Data at our client, you will oversee data collection, analysis, data engineer, and insights generation to drive strategic decision-making across their diverse F&B and lifestyle brands. You will partner with cross-functional teams to translate data into actionable strategies for growth and customer engagement.
- Develop and implement a comprehensive data strategy aligned with overall business goals.
- Oversee the design, development, and maintenance of our data infrastructure and architecture, including data pipelines and storage solutions.
- Lead a team of data analysts and data engineers in collecting, analyzing, and interpreting data.
- Partner with business leaders to identify data-driven solutions for key business challenges.
- Champion a culture of data-driven decision making throughout the organization.
- Ensure data security and compliance with all relevant regulations.
Qualifications
- Hold an advanced degree (Masters or Ph D) in Data Science, Statistics, or a related field (or equivalent experience).
- Possess 5+ years of experience in a data leadership role. Have experience working in a fast-paced, retail environment.
- Be proficient in data analysis tools and programming languages (e.g., SQL, Python, R). For the data engineering function specifically: experience with cloud platforms (e.g., AWS, GCP, Azure) and big data technologies (e.g., Hadoop, Spark) is a plus.
- Be passionate about building a strong data foundation for future growth.
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