Data Analytics Executive

Executive-KDNI

ROLES & RESPONSIBILITIES

• Basic knowledge of cloud services (Azure Data Lake, Azure SQL, Data Factory, etc.).
• Understanding of relational databases and SQL.
• Fundamentals of programming in Python.
• Analytical skills, eagerness to learn, proactivity, and teamwork.
• Interest in data processing and visualization.
• Support in understanding business problems and translating them into Data Analytics solutions, under the guidance of senior team members.
• Assist in preparing and maintaining data infrastructure in Azure and other cloud platforms.
• Participate in the development and optimization of automation and ETL (Extract, Transform, Load) processes.
• Help process and manage structured and unstructured data, working with large volumes of information and databases.
• Collaborate in data ingestion, ETL processes, and data modeling for visualization tools such as Power BI.
• Be part of a multidisciplinary team, learning from experienced professionals in various technological areas (Power Platform, RPA, UX/UI, etc.).

EXPERIENCE

• Any previous experience (internships, academic or personal projects) in cloud environments, preferably Microsoft Azure, will be valued.
• Basic experience in development with Python and/or SQL.
• Experience in ETL or automation projects.
• Experience in development with Alteryx is a plus, but not mandatory.
• Interest and basic knowledge in data visualization (Power BI or other tools).

SKILLS & KNOWLEDGE

• Basic knowledge of cloud services (Azure Data Lake, Azure SQL, Data Factory, etc.).
• Understanding of relational databases and SQL.
• Fundamentals of programming in Python.
• Analytical skills, eagerness to learn, proactivity, and teamwork.
• Interest in data processing and visualization.

ROLES & RESPONSIBILITIES

• Basic knowledge of cloud services (Azure Data Lake, Azure SQL, Data Factory, etc.).
• Understanding of relational databases and SQL.
• Fundamentals of programming in Python.
• Analytical skills, eagerness to learn, proactivity, and teamwork.
• Interest in data processing and visualization.
• Support in understanding business problems and translating them into Data Analytics solutions, under the guidance of senior team members.
• Assist in preparing and maintaining data infrastructure in Azure and other cloud platforms.
• Participate in the development and optimization of automation and ETL (Extract, Transform, Load) processes.
• Help process and manage structured and unstructured data, working with large volumes of information and databases.
• Collaborate in data ingestion, ETL processes, and data modeling for visualization tools such as Power BI.
• Be part of a multidisciplinary team, learning from experienced professionals in various technological areas (Power Platform, RPA, UX/UI, etc.).

EXPERIENCE

• Any previous experience (internships, academic or personal projects) in cloud environments, preferably Microsoft Azure, will be valued.
• Basic experience in development with Python and/or SQL.
• Experience in ETL or automation projects.
• Experience in development with Alteryx is a plus, but not mandatory.
• Interest and basic knowledge in data visualization (Power BI or other tools).

SKILLS & KNOWLEDGE

• Basic knowledge of cloud services (Azure Data Lake, Azure SQL, Data Factory, etc.).
• Understanding of relational databases and SQL.
• Fundamentals of programming in Python.
• Analytical skills, eagerness to learn, proactivity, and teamwork.
• Interest in data processing and visualization.

Educational qualifications

•Degree or studies in Mathematics, Statistics, Computer Engineering, Telecommunications, or related fields.

Work experience

•3+ years of overall experience•Any previous experience (internships, academic or personal projects) in cloud environments, preferably Microsoft Azure, will be valued.•Basic experience in development with Python and/or SQL.•Experience in ETL or automation projects.•Experience in development with Alteryx is a plus, but not mandatory.•Interest and basic knowledge in data visualization (Power BI or other tools).

Experience Level

Executive Level