**About the role** We are looking for a **Data Analyst** to analyze and visualize large\-scale IT infrastructure and asset data, building pipelines and dashboards for internal stakeholders. The mandatory requirements are **advanced SQL**, experience building **ETL/ELT pipelines** with **PySpark, Databricks, or Snowflake**, **4\+ years in data analytics**, experience with large\-scale IT infrastructure or asset datasets, **Power BI, Tableau, or Qlik**, hands\-on use of GenAI tools, and strong English communication skills. **Must haves** * At least **4 years in Data Analytics**, with strong quantitative and qualitative analytical skills and a proven track record of solving complex data problems. * **ETL/ELT Processing:** Robust experience building ETL/ELT pipelines, ideally utilizing a **PySpark / Databricks / Snowflake** stack (or equivalent modern cloud technologies). * **Advanced SQL:** Strong, production\-grade **SQL** skills for complex querying, data joining, and analytical operations across large\-scale systems. * **Large\-Scale Asset \& Infrastructure Datasets:** Hands\-on experience working with massive, enterprise\-grade datasets related to IT infrastructure, hardware/software assets, network configurations, or cloud resources. * **Dashboarding \& Business Intelligence:** Proficient in creating interactive dashboards using **Power BI** (or similar tools such as Tableau/Qlik) to translate data into business narratives. * **Communication:** Excellent oral and written communication skills, with the ability to lead data\-focused discussions and customer\-facing interactions independently. * **Frontier AI Technologies:** Practical knowledge of and experience using cutting\-edge AI technologies, Generative AI tools, and LLM framework integrations. * Upper\-intermediate English level. **Nice to haves** * **ServiceNow \& CMDB:** Hands\-on experience with **ServiceNow** data models, Configuration Management Databases (CMDB), or ServiceNow development experience is a huge plus. * **Authoritative Data Source (ADS) Strategy:** Experience designing or maintaining strategies for enterprise authoritative data sources. * **Data Governance \& Risk Management:** Knowledge of enterprise data governance frameworks, compliance standards, internal audit protocols, and risk management processes. * **Data Transformation Expertise:** Demonstrated expertise in end\-to\-end data mapping, complex transformations, and normalization across disparate datasets. **What you will do** * **Data Analysis \& Visualization:** Design, build, and maintain interactive Power BI (or equivalent) dashboards to deliver clear metrics on enterprise infrastructure, assets, and operational risks. * **ETL/ELT Data Engineering:** Develop, optimize, and maintain robust data transformation pipelines processing massive volumes of asset and infrastructure data. * **Stakeholder \& Client Leadership:** Directly engage with customers, business partners, and engineering teams to identify requirements, translate business needs into data solutions, and independently resolve complex data challenges. * **Data Querying \& Modeling:** Write complex, optimized SQL queries to manipulate, validate, and extract key insights from multi\-source large\-scale databases. * **AI \& Automation Integration:** Evaluate and leverage frontier AI tools and technologies to improve data processing workflows, analytical modeling, and operational efficiency. * **Data Quality \& Governance:** Assist in defining data mappings, transformations, and schema normalizations to maintain high standards of data integrity. **Perks and benefits** * **Growth without limits:** build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget * **Competitive compensation:** get recognition that reflects your skills and impact, with regular performance and compensation reviews * **Flexibility:** work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm * **Meaningful, modern projects:** build impactful products using modern technologies alongside global teams and leading brands * **Collaborative culture:** join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized * **Well\-being \& support:** access local well\-being programs and people\-focused support tailored to your location Job Type: Full\-time Work Location: Remote