• Tenere lezioni private personalizzate su: Excel / Google Sheets (base e avanzato) • Analisi e interpretazione dei dati • SQL e database (livello base/intermedio) • Data visualization (Power BI, Tableau o simili) • Supportare studenti, junior analyst o career switcher • Adattare i contenuti alle esigenze dello studente

Role Description Citizens Financial Group, Inc. (CFG) seeks a Principal Data Analyst, Business Banking Analytics for its Johnston, Rhode Island location. - Owns the roadmap, build, enhancement and maintenance of strategic data products that drive business decision making. - Owns multiple data products and works alongside others to conceptualize, design, and build strategic solutions ensuring products meet approved architecture patterns and governance. - Manages linkages with centralized assets and engineering teams, including Salesforce, Master Data Management, and other Internal Customer Databases. - Responsible for supporting a wide range of data analysis functions and performing adhoc analysis to support strategic business needs. - Responsible for enabling hardened data for business banking that allows performing insightful analytics to be consumed by data scientists and other advanced analytics professionals. Qualifications - Bachelor’s degree in Electronics, Computer Science, Engineering, or related field. - Five (5) years of progressive experience in the role or in a related position. Requirements - Designing, testing, and deploying ETLs and performing root cause analyses and defect resolutions. - Fine tuning long running ETL jobs and SQL queries. - Building reusable ETL components and implementing push down optimization for performance enhancement. - Implementing disaster recovery and data security policies, including data tokenization solutions for EDW Datawarehouses. - Implementing platform migration projects and orchestration tool migration projects. - Building Spark applications for data extraction, transformation, and aggregation with multiple file formats. - Migrating data using Sqoop from HDFS to Relational Database System. - Implementing Hadoop Eco-system components. - Deploying encryption techniques, compression, and replication for data processing needs. - Analyzing and addressing ETL transformation performance issues. Company Description Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

• own high-impact data products end-to-end • work with massive amounts of data • tackle complex data problems independently • use AI and tooling to drive meaningful leverage • collaborate cross-functionally • drive product and strategic impact

• Provide data analysis support to the Department of Commerce (DOC), International Trade Administration (ITA). • Perform analysis of all data into, out of and within Department of Commerce as needed. • Identify and quantify data issues within the organization and assist in the development of plans to resolve these issues. • Be proficient in data visualization concepts. • Have knowledge and experience with analytical expression languages. • Generate general-purpose scripting. • Create end-to-end data preparation workflows. • Collaborate with enterprise data analysts and data engineers to identify and acquire data. • Execute the processes to transform data, create data models, visualize data, and share data assets.