Very good exposure to SQL/PL-SQL scripts and data warehouse concepts; Good to have knowledge of R, Python, Azure Databricks, SAP HANA and HADOOP.
Good exposure to BI architecture, design & software development best practices with proven success in implementing enterprise-level applications.
Must be comfortable with advanced Power BI topics such as complex calculations using DAX, Power Apps, Power Automate, custom visualizations, parameters, manage roles, Data Modelling, merge/append queries, query optimization, enterprise gateways & migration along with get data from multiple sources, transform data, Import/Direct Query, Power Query Editor, etc.
Should have a firm grasp of implementation methodologies along with in-depth experience with Power BI dashboard design and knowledge in administration.
Maintain library of model documents, templates, or other reusable knowledge assets.
Work closely with business analysts, end users and developers.
Experience working with the full life cycle development process, which includes designing, building, testing and validating models using large number of statistical and other quantitative techniques.
Ability to work independently under strict deadlines with agile methodologies. Develop and update technical documentation. In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework.
Design, lead and manage development of industrialized advanced analytics solutions and present information using data visualization techniques.
