- Math and analytic knowledge and mindset.
- Python programming skills.
- Experience with some table data processing & visualisation tools (MS Excel, MS Power BI, Looker Studio etc.).
- Knowledge about Atlassian Jira API (with Xray service), GitHub API and Neo4j platform will be an advantage.
- Experience with any ML solution will be a plus as well.
- Intermediate English both written and verbal
The company is a prominent player in the technology industry, specializing in data storage solutions. They are renowned for their extensive range of products, including hard disk drives (HDDs) and solid-state drives (SSDs), catering to various consumer, business, and enterprise needs. With a focus on innovation and reliability, they provide storage solutions for a wide array of devices, from personal computers to large-scale data centers. Additionally, they offer services related to data recovery and management, ensuring the integrity and accessibility of valuable information for their customers worldwide.
We are seeking a proactive Data Analyst to contribute to the company’s innovative product development.
As a Data Analyst, you will gather, cleanse, and analyze historical data to uncover valuable business insights. You will collaborate directly with clients and their engineering teams to enhance the performance of our QA team.
,[Collaborate with the QA team to collect and clean data from test executions, ensuring data accuracy and integrity., Applying statistical methods and data analysis techniques to uncover patterns, trends, and insights from complex datasets. The goal is to improve the performance of our core QA team. , Attend meetings with the Client and the team, Work with the team on troubleshooting issues] Requirements: Python, MS Excel, Power BI, Looker, Atlassian, Jira, API, Xray, GitHub, Neo4j
neo4j Looker Studio Data Analyst mathematics Python Microsoft Excel Power BI