What you'll do:
- Design and build from scratch, the data architecture and the data platform necessary support the requirements at Multiplier.
- Work closely with stakeholders and product managers to deliver all data product requirements for our external and internal customers.
- Understand internal data sets and sources to be able to build data lakes and warehouse to support the continuous needs.
- Analyse and utilise external data sets and sources to be able to answer questions and derive insights based on the business requirements.
What you'll bring:
- Experience with data modelling, data warehousing, and building ETL pipelines preferably on the AWS stack.
- Very comfortable with diving deep into complex domains and comprehending quickly to be able to derive answers and insights.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience in working with data analytics tools such as Tableau or Quicksight.
- Experience with high-level scripting/programming languages: Python, JavaScript, Java etc.
- 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.
What we’ll provide for you:
- Attractive ESOPs
- Remote employment with truly remote culture.
- Ability to contribute to this business at a high level.
- Working with a compassionate, energetic, inspired, ambitious, and diverse team.
- Opportunity to grow within a fast-growth business.
- Competitive benefits, compensation, and culture of recognition.
- Equipment you need to do your job
- Unlimited holiday policy.
Feel free to apply even if you feel unsure about whether you meet every single requirement in this posting. As long as you're a quick learner, and are excited about changing the status quo for tech recruitment, we're happy to support you as you come up to speed with our tech stack.
