Analytics Engineer

About the Role We’re hiring a hands-on Data Analyst to turn business questions into reliable datasets, clear visuals, and automated workflows. You’ll build and maintain Power BI dashboards, shape data models, and orchestrate pipelines using Microsoft Fabric. You’ll also own Make.com automation for API-based data acquisition and notifications, perform web scraping (ethically and compliantly), and write Python to automate, cleanse, and enrich data. The ideal candidate is equal parts analyst and problem solver with a strong background in data analysis, data visualization, and data engineering. You should be able to work independently and collaboratively as part of a distributed team. Key responsibilities include: • Designing and implementing data pipelines using Microsoft Fabric and Power BI. • Building and maintaining Power BI dashboards that provide insights into business performance. • Developing and maintaining Make.com automation for API-based data acquisition and notifications. • Performing web scraping (ethically and compliantly) to gather data from various sources. • Writing Python code to automate, cleanse, and enrich data. • Collaborating with cross-functional teams to identify and prioritize data needs. • Providing data insights and recommendations to stakeholders. • Staying up-to-date with industry trends and best practices in data analysis and visualization. The ideal candidate will have: • 3+ years of experience in data analysis, data engineering, or a related field. • Strong analytical and problem-solving skills. • Experience working with Power BI, Microsoft Fabric, and Make.com automation. • Proficiency in Python programming language. • Familiarity with web scraping techniques and best practices. • Excellent communication and collaboration skills. • Ability to work independently and as part of a distributed team. What We Offer: • Competitive salary and benefits package. • Opportunity to work on cutting-edge projects and technologies. • Collaborative and dynamic work environment. • Professional development opportunities. • Flexible working hours and remote work options.