The Role

KOMI Group is looking for a Data Analyst to work on a variety of exciting data projects in the market. Reporting to the CFO, you will play a key role in delivering value to the business by helping us leverage data effectively.

As a Data Analyst, you will maintain and develop KOMI''s data warehouse and visualisation infrastructure by performing high-quality technical work. The successful candidate will have a solid foundation in SQL, Azure DevOps and cloud data warehousing, with strong communication and analytical skills.

The ideal candidate will be an enthusiastic data professional with a strong foundation in data analytics and a desire to grow their skills. You should be passionate about working in a fast-paced environment and enjoy collaborating with stakeholders.

If you are eager to grow in the data field, enjoy solving complex problems, and excel in working with stakeholders, we want to hear from you!

Key Responsibilities

Technical Work: Develop and maintain data in the cloud data warehouse infrastructure and improve the performance and efficiency of the data stack. Develop third party visualisation tools to showcase data available to the business in the most effective way.Project Support: Assist in project planning, scheduling, and execution to ensure timely and quality delivery.Requirements Gathering: Contribute to the creation of data dictionary documents to define and clarify SOWs.Data Architecture Support: Assist in creating and maintaining common data models and data lineage documents.Continuous Improvement: Participate in the review and improvement of project processes and procedures.Business Development Support: Assist in the development of the data infrastructure, providing technical input.Commercial Awareness: Understand and contribute to the efficient use of time on priority work items.

What We Are Looking For

At least 2 years of experience in a data-related role, with exposure to ELT tools and data modelling techniques.Strong SQL skills and experience with data cloud tech like Snowflake.Ability to use Azure DevOps to create, test, and deploy data pipelines and Snowflake configurations, ensuring efficient and reliable delivery of data solutions.Experience building and managing CI/CD pipelines, source control (Git), and automated testing/deployment for data engineering workflows.Knowledge of Microsoft Azure (e.g., Azure Data Lake, Azure Functions) and its integration with Snowflake.Knowledge in Python for automation and data processing tasks.Knowledge of ELT tools like Kleene or Fivetran.Experience with visualisation tools such as ThoughtSpot, Tableau, PowerBI or Looker.Previous experience in a fast pace scale-up business environment.Good communication skills, with the ability to explain technical concepts to non-technical stakeholders.Strong analytical and problem-solving skills.Proactive, self-motivated, and able to work both independently and as part of a team.A desire to learn and grow within a dynamic and fast-paced environment.

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