• Extracts knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques • Examines and identifies data patterns and trends to help answer business questions and improve decision making • Provides inputs for complex Data Science and Big Data Mining projects • Identifies areas to increase efficiency and automation of data analysis processes • Design and implement corporate Power BI solutions interfacing with Azure services such as Azure SQL Database, Azure Synapse and Azure Data Lake Storage • Develop and maintain Service Now data to enact DnA solutions • Understand and help maintain corporate Denodo architecture • Create and maintain Denodo metadata • Understand business objectives, define performance metrics and drive data-driven strategies to achieve them • Work cross-functionally to support multiple key stakeholders and provide insights • Work with the DnA Team and Business users to create Business Intelligence visualizations • Evaluate ServiceNow issues to identify and recommend solutions to strategic DnA issues • Perform complex data analysis, identify the root cause of system and process issues, and develop solutions • Assess the end-to-end process and identify opportunities for enhancement; develop dashboards and report insights • Define objectives per business requirements; assist business analysts, data analysts, and data scientists in analyzing the data

• Supports the business in developing business frameworks and related analytical processes • Engages with relevant internal stakeholders incl. BUD, NSM to implement a SFE program • Measures the activity of the sales force and monitoring their results • Provides ongoing support to field force and recommends ways to develop methodology • Creates and runs market research projects with decisive results • Provides reliable and accurate analyses and reports to internal customers • Defines productivity indicators for measuring performance

• Work closely with stakeholders to understand business questions and translate them into analytical requirements • Explore datasets and identify trends, anomalies, and opportunities for improvement • Design and build dashboards and analytical reports using Apache Superset, Power BI, or Tableau • Create prototypes of analytical reports and visualizations to validate ideas before development • Collaborate with Data Engineers to define data requirements and improve data structures • Contribute to the evolution of the Data Platform and reporting ecosystem • Help stakeholders interpret data and make informed decisions • Facilitate discussions around metrics, KPIs, and data quality • Prepare documentation and conduct demo sessions for stakeholders

• Collect, prepare, and analyze data to support operational and strategic needs • Perform ad hoc data queries to address emerging questions • Validate datasets, reports, and dashboards to ensure accuracy, completeness, and alignment with PSI standards • Develop data visualizations • Collaborate with internal and external stakeholders to resolve data-related issues • Work with department representatives to define requirements, identify data sources, and design metrics tracking