Data Analyst Ii Engineering - Milano - Milano

Data Analyst Ii Engineering - Milano -
Milano
Lombardia, Milano

Agile Lab, a leading data engineering company known for its pioneering work in Data Mesh, Data Management, and numerous distributed technologies, invites applications for the position of Data Analyst II. With a robust track record since 2013 and a dynamic team of over 130 professionals, we cherish an international mindset.

Discover more about our progressive culture and innovative projects by visiting our handbook.

The roleWe are seeking a detail-oriented, analytical Data Analyst II to join our team. You will be responsible for understanding and interpreting the needs of a modern enterprise, designing and implementing advanced analytical solutions. This will include interfacing with stakeholders to translate functional requirements into technical specifications, designing and implementing data flows on Enterprise Data Warehouse (EDWH) systems or Data Lakes. Mastery of one or more SQL dialects and knowledge of how to operate effectively on EDWH systems will be necessary.

You will also need to be able to create data marts and dashboards that effectively represent the information and KPIs extracted from the data.

RAL€ 38. 5K - 48. 5K

Responsibilities Actively collaborate with business stakeholders to understand and translate functional requirements into technical specifications, ensuring proper implementation of use cases. Data flow implementation: design and implement new data flows on EDWH or Data Lake to meet specific business requirements, identifying and integrating necessary data sources. Data cleaning and preparation: conduct data preparation and cleaning activities to ensure the quality and reliability of the data used in analyses. Data quality techniques implementation: apply techniques and processes to ensure data integrity and reliability through quality control. Data model creation: develop specific data models for identified use cases, transforming input data into formats suitable for analysis and insight generation. Collaboration with dashboarding experts: work closely with dashboarding and data visualization experts to implement effective dashboards and reporting, presenting results in a clear and engaging manner.

Requirements Knowledge of Italian language is required; Bachelor's or Master's degree in Statistics, Computer Science, Computer Engineering, or related field. At least 2 years of experience in transformation, data modeling, and data analysis on Enterprise Data Warehouse (EDWH) systems, preferably with skills on platforms like Azure Synapse and Teradata. Experience with Databricks or Snowflake considered a plus. Technical knowledge: in-depth knowledge of SQL language and its dialects, related to at least one EDWH system. Proficiency in Data Modeling methodologies and principles of Data Visualization. Knowledge of PowerBI is considered a plus. Good Knowledge of Python; Analytical skills: ability to map business requirements to data models and KPIs, ensuring accurate translation and a deep understanding of business needs. Knowledge of business processes in at least one of the following areas: insurance, telco, banking, or utility. Effective communication: skill in maintaining ongoing dialogue with stakeholders throughout all phases of the project, ensuring continuous alignment and a clear understanding of requirements. We offer Real work life balance; Training monthly budget (time and money); A structured career path with clear expectations and salary for each level; Support of a buddy, as a guide in choosing the most suitable experiences for your ambitions; Benefits and corporate welfare programs: company prizes and welcome pack with all the equipment you need to work; Agile Nomads experience: opportunity to work for 2 weeks abroad; Referral bonus, if you bring people as talented as you; The opportunity to attend one conference per year; Inclusive environment where you can be who you really are; Stimulating environment oriented to growth, both professional and personal. This position is open to all candidates, regardless of gender, and we strongly encourage applications from both male and female candidates pursuant to Art. 27 of Legislative Decree no. 198/2006, as well as those who identify themselves as non-binary or of any other kind. We are committed to fostering a diverse and inclusive workplace.

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