Senior Data Analyst

Das ist der Job

Proficient in data processing, ETL/ELT processes, and preparing data for AI and Machine Learning applications.

Darum lohnt es sich

Develop dashboards and management reporting panels in Microsoft Power BI, consolidating data from multiple sources and creating interactive visualizations to track KPIs and results Analyze project data and portfolios, generating studies and insights to monitor deliverables, KPIs, and the software factory’s performance Prepare and structure databases for use by Artificial Intelligence, Machine Learning, and cognitive engine solutions Design and structure data environments, such as Data Lakes, Data Warehouses, and Data Marts, following industry best practices Develop, configure, and monitor ETL/ELT processes and jobs, ensuring the continuous and reliable extraction, transformation, and availability of data Perform data processing, cleansing, and standardization, including large volumes of structured and unstructured data Develop and optimize SQL queries, conducting performance analysis, tuning, and improvements to complex queries Map analytical data sources and support the evolution of the architecture and structuring of information for consumption by different business areas and solutions Requirements • Solid experience with Microsoft Power BI and Business Intelligence concepts • Advanced SQL proficiency, including the development and optimization of complex queries • Experience with data processing, transformation, cleansing, and integration • Knowledge of ETL/ELT processes, jobs, and data orchestration • Experience with data modeling and structuring, including Data Warehouses, Data Lakes, and/or Data Marts • Strong analytical skills, with experience interpreting data and generating business insights • Knowledge of relational and/or multidimensional databases • Ability to work with large volumes of structured and unstructured data • Knowledge of data preparation for AI and Machine Learning initiatives • Experience integrating APIs and LLMs for the intelligent processing and analysis of documents • Knowledge of Prompt Engineering • Experience defining and monitoring accuracy metrics for AI solutions, both by rule and by prompt • Experience identifying inconsistencies and hallucinations in AI responses, as well as refining prompts and model context • Experience with AI applications for document analysis, particularly in credit underwriting or similar processes Core Competencies Demonstrates expertise in Microsoft Power BI for developing dashboards and management reporting, alongside advanced SQL proficiency for optimizing complex queries.

Highest-signal resume keywords • Microsoft Power BI • Advanced SQL Proficiency • ETL/ELT Processes • Data Warehousing • Data Preparation for AI Hard Skills • Data Processing • Data Cleansing • Data Transformation • Data Modeling • SQL Query Optimization • Data Lakes • Data Marts • APIs Integration • Prompt Engineering • Accuracy Metrics Monitoring Soft Skills • Analytical Skills Industry Keywords • Business Intelligence • Cognitive Engine Solutions • Relational Databases • Multidimensional Databases • Document Analysis • Credit Underwriting