Position: Power BI Engineer
Company: SQRD.tech
Category: Other
Experience required: 1y
English level: upper

The client's company is a leading productivity management and collaboration platform, empowering agile teams and organizations to enhance their code development process. Since 2014, they have been enabling software teams worldwide to significantly increase their productivity, offering time-saving automations, improved meeting efficiency, and enhanced visibility. The company's agile process owners rely on their insights to drive process improvements, meet deadlines, and achieve tangible business value. Real-time reporting helps identify risks and bottlenecks, while roadmaps provide teams with clear directions.

The role of the Power BI Engineer is to bridge the gap between business intelligence and software development. They must possess a comprehensive understanding of both domains, allowing them to identify issues and implement necessary fixes on the development side. The engineer will likely work in a team, potentially alongside Salman, closely collaborating with C-level executives such as the Head of Technology, Product, and Business Development.

While the position is primarily targeted towards junior candidates due to the nature of the tasks involved, the client is open to considering middle and senior-level professionals who possess the relevant expertise. 

The project's technology stack includes React, JavaScript, Mixpanel, and HubSpot.

Duties and Responsibilities:
- Assist in the development and maintenance of business intelligence and analytics tools.
- Perform data analysis to identify trends and support data-driven decision-making.
- Collaborate with cross-functional teams to gather and understand business requirements.
- Create visualizations and reports to effectively communicate insights to stakeholders.
- Ensure data accuracy and integrity by monitoring data sources and cleaning data as needed.

Any additional requirements/comments:
- Basic understanding of data analysis tools and techniques.
- Familiarity with data visualization and reporting tools.