692 Posti di lavoro per Data Visualization in Italia
Data Visualization and Analytics Specialist
Inserito 11 giorni fa
Lavoro visualizzato
Descrizione Del Lavoro
Lanzo Torinese, Italy
Per l’accrescimento della practice Insights & Data siamo alla ricerca di un Data Visualization and Analytics Specialist.
La risorsa si occuperà di supportare i clienti durante l’intero ciclo di vita dell’applicativo, dall’analisi dei dati fino alla loro rappresentazione attraverso dashboard.
Posizione Richiesta- Laurea in discipline tecnico-scentifiche
- Conoscenza di almeno uno dei principali tool di Data Visualization: QlikView, QlikSense, PowerBI
- Capacità di modellazione dati a supporto della fase di preparazione dati
- Gradita conoscenza di uno o più linguaggi di programmazione (Python, R, SQL, etc.) per analisi ed integrazione dati originati da sistemi differenti, facendo leva su avanzate tecniche di Analytics
- Conoscenza piattaforma Microstrategy
- Gradite competenze in ambito UX/UI
- Conoscenza della lingua inglese
Costituiscono infine titolo preferenziale la conoscenza di tool di ETL, Data Warehouse/Big Data.
Ciò che ci distingue è anche ciò che ci definisce: i nostri talenti, le nostre persone, perseguono gli obiettivi con entusiasmo e spirito di squadra, supportati da una realtà che non pone limiti alla crescita.
Valorizziamo l’onestà, l’iniziativa e il divertimento: questi valori ci rendono la prima scelta per i nostri clienti e un’ottima opportunità di crescita per ciascun talento. Assumiamo persone qualificate e di valore senza distinzioni di sesso, razza, disabilità, età, orientamento sessuale, religione o credo, stato civile, accompagnando le nostre persone nel percorso di genitorialità.
Nutriamo una cultura inclusiva che permette a tutti di mostrare a pieno il proprio potenziale e di godere di una carriera soddisfacente. La nostra politica di flexible benefits e le nostre policies promuovono uno stile di vita improntato al work-life balance.
La nostra missione è impiegare, sviluppare e trattenere le persone migliori per fornire soluzioni innovative ai nostri clienti.
Teniamo fede ai nostri impegni, prestando attenzione alle risorse appartenenti alle categorie protette, ai sensi degli articoli 1 e 18 della legge 68 del ‘99.
I dati personali saranno trattati in conformità alle disposizioni del regolamento UE 2016/679.
Si prega di prendere visione dell’Informativa sulla Privacy Capgemini al seguente link:
#J-18808-LjbffrData Visualization and Analytics Specialist
Oggi
Lavoro visualizzato
Descrizione Del Lavoro
Lanzo Torinese, Italy
Per l’accrescimento della practice Insights & Data siamo alla ricerca di un Data Visualization and Analytics Specialist.
La risorsa si occuperà di supportare i clienti durante l’intero ciclo di vita dell’applicativo, dall’analisi dei dati fino alla loro rappresentazione attraverso dashboard.
Posizione Richiesta- Laurea in discipline tecnico-scentifiche
- Conoscenza di almeno uno dei principali tool di Data Visualization: QlikView, QlikSense, PowerBI
- Capacità di modellazione dati a supporto della fase di preparazione dati
- Gradita conoscenza di uno o più linguaggi di programmazione (Python, R, SQL, etc.) per analisi ed integrazione dati originati da sistemi differenti, facendo leva su avanzate tecniche di Analytics
- Conoscenza piattaforma Microstrategy
- Gradite competenze in ambito UX/UI
- Conoscenza della lingua inglese
Costituiscono infine titolo preferenziale la conoscenza di tool di ETL, Data Warehouse/Big Data.
Ciò che ci distingue è anche ciò che ci definisce: i nostri talenti, le nostre persone, perseguono gli obiettivi con entusiasmo e spirito di squadra, supportati da una realtà che non pone limiti alla crescita.
Valorizziamo l’onestà, l’iniziativa e il divertimento: questi valori ci rendono la prima scelta per i nostri clienti e un’ottima opportunità di crescita per ciascun talento. Assumiamo persone qualificate e di valore senza distinzioni di sesso, razza, disabilità, età, orientamento sessuale, religione o credo, stato civile, accompagnando le nostre persone nel percorso di genitorialità.
Nutriamo una cultura inclusiva che permette a tutti di mostrare a pieno il proprio potenziale e di godere di una carriera soddisfacente. La nostra politica di flexible benefits e le nostre policies promuovono uno stile di vita improntato al work-life balance.
La nostra missione è impiegare, sviluppare e trattenere le persone migliori per fornire soluzioni innovative ai nostri clienti.
Teniamo fede ai nostri impegni, prestando attenzione alle risorse appartenenti alle categorie protette, ai sensi degli articoli 1 e 18 della legge 68 del ‘99.
I dati personali saranno trattati in conformità alle disposizioni del regolamento UE 2016/679.
Si prega di prendere visione dell’Informativa sulla Privacy Capgemini al seguente link:
#J-18808-LjbffrData Engineer/ Data Visualization & Analytics Expert
Ieri
Lavoro visualizzato
Descrizione Del Lavoro
**Job Description**
**Job Title** : Data Engineer/ Data Visualization & Analytics Expert
**Location** : Pisa, Italy
**About the role:**
As a Data Engineering / Data Visualization & Analytics expert, you will collaborate with a diverse Agile team to build high-quality data pipelines that create analytic solutions. You will focus on generating insights from connected data, ensuring advanced data-driven decision-making capabilities. You will build and maintain data systems and constructing datasets that are optimized for analysis, supporting Business Intelligence requirements and downstream systems. You will report to the DD&T Lead.
**How you will contribute:**
+ Background in data engineering and data visualization along with experience in Agile project management methodologies.
+ Design, develop, optimize, and maintain data architecture and pipelines that follow ETL principles and business goals.
+ Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various tools in the Big Data Environment.
+ Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value.
+ Perform data manipulation and queries using SQL independently.
+ Develop scripts and applications in Python for complex data processing needs.
+ Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity.
+ Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
+ Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics.
+ Advise, consult and coach other data and analytic professionals on data standards and practices.
+ Create advanced data visualizations and dashboards in Tableau or in PowerBI.
+ Apply machine learning techniques to predict outcomes and increase business processes.
+ Have solid knowledge of industry practices and contribute to departmental projects and goals, often engaging in frequent internal and external interactions.
+ Occasionally lead small project teams and provide informal guidance to junior staff.
**What you bring to Takeda:**
+ Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
+ Experience (2+ years) as a Data Engineer and/or Data Visualization & Analytics Expert.
+ Experience of SQL, implementing complex queries and managing databases.
+ Proficient in programming languages such as Python, Scala, Java, and C++, tailored for scalable data engineering solutions.
+ Expertise in data visualization tools (Power BI, Qlik, etc.).
+ Apply advanced techniques in data engineering and modeling, lead programs and mentoring others.
+ Proficient in DevOps practices and continuous integration, enhancing operational efficiencies and deployment strategies.
+ Demonstrate expertise in software development methodologies and data structures, optimizing algorithms for complex data operations.
+ Experience with distributed data technologies like Spark and Hadoop, improving large-scale data processing and analytics.
+ Experienced in system integration, ensuring seamless data flow and functionality across multiple platforms.
+ Expertise in deploying and managing applications on cloud platforms using tools like Kubernetes, enhancing scalability and reliability.
+ Analytical skills, able to transform data into applicable insights that move decision-making.
+ Leadership capabilities, able to guide and inspire junior engineers, promoting a collaborative and work environment.
+ Can solve a range of moderate scope and complexity problems, occasionally referring to policies and practices for guidance.
+ Analyze situations and data, exercising judgment within established procedures, and fostering productive relationships internally and externally.
**More about us:**
At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
**Empowering our people to shine:**
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, or any other characteristic protected by law.
**Locations**
ITA - RietiITA - Pisa
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
Data Engineer/ Data Visualization & Analytics Expert
Ieri
Lavoro visualizzato
Descrizione Del Lavoro
**Job Description**
**Job Title** : Data Engineer/ Data Visualization & Analytics Expert
**Location** : Pisa, Italy
**About the role:**
As a Data Engineering / Data Visualization & Analytics expert, you will collaborate with a diverse Agile team to build high-quality data pipelines that create analytic solutions. You will focus on generating insights from connected data, ensuring advanced data-driven decision-making capabilities. You will build and maintain data systems and constructing datasets that are optimized for analysis, supporting Business Intelligence requirements and downstream systems. You will report to the DD&T Lead.
**How you will contribute:**
+ Background in data engineering and data visualization along with experience in Agile project management methodologies.
+ Design, develop, optimize, and maintain data architecture and pipelines that follow ETL principles and business goals.
+ Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various tools in the Big Data Environment.
+ Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value.
+ Perform data manipulation and queries using SQL independently.
+ Develop scripts and applications in Python for complex data processing needs.
+ Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity.
+ Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
+ Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics.
+ Advise, consult and coach other data and analytic professionals on data standards and practices.
+ Create advanced data visualizations and dashboards in Tableau or in PowerBI.
+ Apply machine learning techniques to predict outcomes and increase business processes.
+ Have solid knowledge of industry practices and contribute to departmental projects and goals, often engaging in frequent internal and external interactions.
+ Occasionally lead small project teams and provide informal guidance to junior staff.
**What you bring to Takeda:**
+ Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
+ Experience (2+ years) as a Data Engineer and/or Data Visualization & Analytics Expert.
+ Experience of SQL, implementing complex queries and managing databases.
+ Proficient in programming languages such as Python, Scala, Java, and C++, tailored for scalable data engineering solutions.
+ Expertise in data visualization tools (Power BI, Qlik, etc.).
+ Apply advanced techniques in data engineering and modeling, lead programs and mentoring others.
+ Proficient in DevOps practices and continuous integration, enhancing operational efficiencies and deployment strategies.
+ Demonstrate expertise in software development methodologies and data structures, optimizing algorithms for complex data operations.
+ Experience with distributed data technologies like Spark and Hadoop, improving large-scale data processing and analytics.
+ Experienced in system integration, ensuring seamless data flow and functionality across multiple platforms.
+ Expertise in deploying and managing applications on cloud platforms using tools like Kubernetes, enhancing scalability and reliability.
+ Analytical skills, able to transform data into applicable insights that move decision-making.
+ Leadership capabilities, able to guide and inspire junior engineers, promoting a collaborative and work environment.
+ Can solve a range of moderate scope and complexity problems, occasionally referring to policies and practices for guidance.
+ Analyze situations and data, exercising judgment within established procedures, and fostering productive relationships internally and externally.
**More about us:**
At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
**Empowering our people to shine:**
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, or any other characteristic protected by law.
**Locations**
ITA - RietiITA - Pisa
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
Data Engineer/ Data Visualization & Analytics Expert
Ieri
Lavoro visualizzato
Descrizione Del Lavoro
**Job Description**
**Job Title** : Data Engineer/ Data Visualization & Analytics Expert
**Location** : Pisa, Italy
**About the role:**
As a Data Engineering / Data Visualization & Analytics expert, you will collaborate with a diverse Agile team to build high-quality data pipelines that create analytic solutions. You will focus on generating insights from connected data, ensuring advanced data-driven decision-making capabilities. You will build and maintain data systems and constructing datasets that are optimized for analysis, supporting Business Intelligence requirements and downstream systems. You will report to the DD&T Lead.
**How you will contribute:**
+ Background in data engineering and data visualization along with experience in Agile project management methodologies.
+ Design, develop, optimize, and maintain data architecture and pipelines that follow ETL principles and business goals.
+ Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various tools in the Big Data Environment.
+ Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value.
+ Perform data manipulation and queries using SQL independently.
+ Develop scripts and applications in Python for complex data processing needs.
+ Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity.
+ Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
+ Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics.
+ Advise, consult and coach other data and analytic professionals on data standards and practices.
+ Create advanced data visualizations and dashboards in Tableau or in PowerBI.
+ Apply machine learning techniques to predict outcomes and increase business processes.
+ Have solid knowledge of industry practices and contribute to departmental projects and goals, often engaging in frequent internal and external interactions.
+ Occasionally lead small project teams and provide informal guidance to junior staff.
**What you bring to Takeda:**
+ Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
+ Experience (2+ years) as a Data Engineer and/or Data Visualization & Analytics Expert.
+ Experience of SQL, implementing complex queries and managing databases.
+ Proficient in programming languages such as Python, Scala, Java, and C++, tailored for scalable data engineering solutions.
+ Expertise in data visualization tools (Power BI, Qlik, etc.).
+ Apply advanced techniques in data engineering and modeling, lead programs and mentoring others.
+ Proficient in DevOps practices and continuous integration, enhancing operational efficiencies and deployment strategies.
+ Demonstrate expertise in software development methodologies and data structures, optimizing algorithms for complex data operations.
+ Experience with distributed data technologies like Spark and Hadoop, improving large-scale data processing and analytics.
+ Experienced in system integration, ensuring seamless data flow and functionality across multiple platforms.
+ Expertise in deploying and managing applications on cloud platforms using tools like Kubernetes, enhancing scalability and reliability.
+ Analytical skills, able to transform data into applicable insights that move decision-making.
+ Leadership capabilities, able to guide and inspire junior engineers, promoting a collaborative and work environment.
+ Can solve a range of moderate scope and complexity problems, occasionally referring to policies and practices for guidance.
+ Analyze situations and data, exercising judgment within established procedures, and fostering productive relationships internally and externally.
**More about us:**
At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
**Empowering our people to shine:**
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, or any other characteristic protected by law.
**Locations**
ITA - RietiITA - Pisa
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
Data Engineer/ Data Visualization & Analytics Expert
Ieri
Lavoro visualizzato
Descrizione Del Lavoro
**Job Description**
**Job Title** : Data Engineer/ Data Visualization & Analytics Expert
**Location** : Pisa, Italy
**About the role:**
As a Data Engineering / Data Visualization & Analytics expert, you will collaborate with a diverse Agile team to build high-quality data pipelines that create analytic solutions. You will focus on generating insights from connected data, ensuring advanced data-driven decision-making capabilities. You will build and maintain data systems and constructing datasets that are optimized for analysis, supporting Business Intelligence requirements and downstream systems. You will report to the DD&T Lead.
**How you will contribute:**
+ Background in data engineering and data visualization along with experience in Agile project management methodologies.
+ Design, develop, optimize, and maintain data architecture and pipelines that follow ETL principles and business goals.
+ Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various tools in the Big Data Environment.
+ Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value.
+ Perform data manipulation and queries using SQL independently.
+ Develop scripts and applications in Python for complex data processing needs.
+ Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity.
+ Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
+ Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics.
+ Advise, consult and coach other data and analytic professionals on data standards and practices.
+ Create advanced data visualizations and dashboards in Tableau or in PowerBI.
+ Apply machine learning techniques to predict outcomes and increase business processes.
+ Have solid knowledge of industry practices and contribute to departmental projects and goals, often engaging in frequent internal and external interactions.
+ Occasionally lead small project teams and provide informal guidance to junior staff.
**What you bring to Takeda:**
+ Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
+ Experience (2+ years) as a Data Engineer and/or Data Visualization & Analytics Expert.
+ Experience of SQL, implementing complex queries and managing databases.
+ Proficient in programming languages such as Python, Scala, Java, and C++, tailored for scalable data engineering solutions.
+ Expertise in data visualization tools (Power BI, Qlik, etc.).
+ Apply advanced techniques in data engineering and modeling, lead programs and mentoring others.
+ Proficient in DevOps practices and continuous integration, enhancing operational efficiencies and deployment strategies.
+ Demonstrate expertise in software development methodologies and data structures, optimizing algorithms for complex data operations.
+ Experience with distributed data technologies like Spark and Hadoop, improving large-scale data processing and analytics.
+ Experienced in system integration, ensuring seamless data flow and functionality across multiple platforms.
+ Expertise in deploying and managing applications on cloud platforms using tools like Kubernetes, enhancing scalability and reliability.
+ Analytical skills, able to transform data into applicable insights that move decision-making.
+ Leadership capabilities, able to guide and inspire junior engineers, promoting a collaborative and work environment.
+ Can solve a range of moderate scope and complexity problems, occasionally referring to policies and practices for guidance.
+ Analyze situations and data, exercising judgment within established procedures, and fostering productive relationships internally and externally.
**More about us:**
At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
**Empowering our people to shine:**
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, or any other characteristic protected by law.
**Locations**
ITA - RietiITA - Pisa
**Worker Type**
Employee
**Worker Sub-Type**
Regular
**Time Type**
Full time
Data Engineer/ Data Visualization & Analytics Expert
Oggi
Lavoro visualizzato
Descrizione Del Lavoro
Join to apply for the Data Engineer/ Data Visualization & Analytics Expert role at Takeda
Data Engineer/ Data Visualization & Analytics Expert1 day ago Be among the first 25 applicants
Join to apply for the Data Engineer/ Data Visualization & Analytics Expert role at Takeda
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
Job Description:
Job Title: Data Engineer/ Data Visualization & Analytics Expert
Location: Pisa, Italy
About The Role
As a Data Engineering / Data Visualization & Analytics expert, you will collaborate with a diverse Agile team to build high-quality data pipelines that create analytic solutions. You will focus on generating insights from connected data, ensuring advanced data-driven decision-making capabilities. You will build and maintain data systems and constructing datasets that are optimized for analysis, supporting Business Intelligence requirements and downstream systems. You will report to the DD&T Lead.
How you will contribute
- Background in data engineering and data visualization along with experience in Agile project management methodologies.
- Design, develop, optimize, and maintain data architecture and pipelines that follow ETL principles and business goals.
- Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various tools in the Big Data Environment.
- Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value.
- Perform data manipulation and queries using SQL independently.
- Develop scripts and applications in Python for complex data processing needs.
- Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity.
- Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
- Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics.
- Advise, consult and coach other data and analytic professionals on data standards and practices.
- Create advanced data visualizations and dashboards in Tableau or in PowerBI.
- Apply machine learning techniques to predict outcomes and increase business processes.
- Have solid knowledge of industry practices and contribute to departmental projects and goals, often engaging in frequent internal and external interactions.
- Occasionally lead small project teams and provide informal guidance to junior staff.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
- Experience (2+ years) as a Data Engineer and/or Data Visualization & Analytics Expert.
- Experience of SQL, implementing complex queries and managing databases.
- Proficient in programming languages such as Python, Scala, Java, and C++, tailored for scalable data engineering solutions.
- Expertise in data visualization tools (Power BI, Qlik, etc.).
- Apply advanced techniques in data engineering and modeling, lead programs and mentoring others.
- Proficient in DevOps practices and continuous integration, enhancing operational efficiencies and deployment strategies.
- Demonstrate expertise in software development methodologies and data structures, optimizing algorithms for complex data operations.
- Experience with distributed data technologies like Spark and Hadoop, improving large-scale data processing and analytics.
- Experienced in system integration, ensuring seamless data flow and functionality across multiple platforms.
- Expertise in deploying and managing applications on cloud platforms using tools like Kubernetes, enhancing scalability and reliability.
- Analytical skills, able to transform data into applicable insights that move decision-making.
- Leadership capabilities, able to guide and inspire junior engineers, promoting a collaborative and work environment.
- Can solve a range of moderate scope and complexity problems, occasionally referring to policies and practices for guidance.
- Analyze situations and data, exercising judgment within established procedures, and fostering productive relationships internally and externally.
At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
Empowering our people to shine
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, or any other characteristic protected by law.
Locations:
ITA - RietiITA - Pisa
Worker Type:
Employee
Worker Sub-Type:
Regular
Time Type:
Full timeSeniority level
- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionInformation Technology
- IndustriesPharmaceutical Manufacturing
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Data Engineer/ Data Visualization & Analytics Expert
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Lavoro visualizzato
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Join to apply for the Data Engineer/ Data Visualization & Analytics Expert role at Takeda
Data Engineer/ Data Visualization & Analytics Expert1 day ago Be among the first 25 applicants
Join to apply for the Data Engineer/ Data Visualization & Analytics Expert role at Takeda
Get AI-powered advice on this job and more exclusive features.
By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
Job Description:
Job Title: Data Engineer/ Data Visualization & Analytics Expert
Location: Pisa, Italy
About The Role
As a Data Engineering / Data Visualization & Analytics expert, you will collaborate with a diverse Agile team to build high-quality data pipelines that create analytic solutions. You will focus on generating insights from connected data, ensuring advanced data-driven decision-making capabilities. You will build and maintain data systems and constructing datasets that are optimized for analysis, supporting Business Intelligence requirements and downstream systems. You will report to the DD&T Lead.
How you will contribute
- Background in data engineering and data visualization along with experience in Agile project management methodologies.
- Design, develop, optimize, and maintain data architecture and pipelines that follow ETL principles and business goals.
- Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various tools in the Big Data Environment.
- Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value.
- Perform data manipulation and queries using SQL independently.
- Develop scripts and applications in Python for complex data processing needs.
- Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity.
- Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
- Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics.
- Advise, consult and coach other data and analytic professionals on data standards and practices.
- Create advanced data visualizations and dashboards in Tableau or in PowerBI.
- Apply machine learning techniques to predict outcomes and increase business processes.
- Have solid knowledge of industry practices and contribute to departmental projects and goals, often engaging in frequent internal and external interactions.
- Occasionally lead small project teams and provide informal guidance to junior staff.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
- Experience (2+ years) as a Data Engineer and/or Data Visualization & Analytics Expert.
- Experience of SQL, implementing complex queries and managing databases.
- Proficient in programming languages such as Python, Scala, Java, and C++, tailored for scalable data engineering solutions.
- Expertise in data visualization tools (Power BI, Qlik, etc.).
- Apply advanced techniques in data engineering and modeling, lead programs and mentoring others.
- Proficient in DevOps practices and continuous integration, enhancing operational efficiencies and deployment strategies.
- Demonstrate expertise in software development methodologies and data structures, optimizing algorithms for complex data operations.
- Experience with distributed data technologies like Spark and Hadoop, improving large-scale data processing and analytics.
- Experienced in system integration, ensuring seamless data flow and functionality across multiple platforms.
- Expertise in deploying and managing applications on cloud platforms using tools like Kubernetes, enhancing scalability and reliability.
- Analytical skills, able to transform data into applicable insights that move decision-making.
- Leadership capabilities, able to guide and inspire junior engineers, promoting a collaborative and work environment.
- Can solve a range of moderate scope and complexity problems, occasionally referring to policies and practices for guidance.
- Analyze situations and data, exercising judgment within established procedures, and fostering productive relationships internally and externally.
At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
Empowering our people to shine
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, or any other characteristic protected by law.
Locations:
ITA - RietiITA - Pisa
Worker Type:
Employee
Worker Sub-Type:
Regular
Time Type:
Full timeSeniority level
- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionInformation Technology
- IndustriesPharmaceutical Manufacturing
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#J-18808-LjbffrData Engineer/ Data Visualization & Analytics Expert
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Job Description:
Job Title: Data Engineer/ Data Visualization & Analytics Expert
Location: Pisa, Italy
About The Role
As a Data Engineering / Data Visualization & Analytics expert, you will collaborate with a diverse Agile team to build high-quality data pipelines that create analytic solutions. You will focus on generating insights from connected data, ensuring advanced data-driven decision-making capabilities. You will build and maintain data systems and constructing datasets that are optimized for analysis, supporting Business Intelligence requirements and downstream systems. You will report to the DD&T Lead.
How you will contribute
- Background in data engineering and data visualization along with experience in Agile project management methodologies.
- Design, develop, optimize, and maintain data architecture and pipelines that follow ETL principles and business goals.
- Define data requirements, gather and mine large-scale structured and unstructured data, and validate data using various tools in the Big Data Environment.
- Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value.
- Perform data manipulation and queries using SQL independently.
- Develop scripts and applications in Python for complex data processing needs.
- Lead the evaluation, implementation, and deployment of emerging tools and processes for analytic data engineering to improve productivity.
- Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
- Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics.
- Advise, consult and coach other data and analytic professionals on data standards and practices.
- Create advanced data visualizations and dashboards in Tableau or in PowerBI.
- Apply machine learning techniques to predict outcomes and increase business processes.
- Have solid knowledge of industry practices and contribute to departmental projects and goals, often engaging in frequent internal and external interactions.
- Occasionally lead small project teams and provide informal guidance to junior staff.
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field.
- Experience (2+ years) as a Data Engineer and/or Data Visualization & Analytics Expert.
- Experience of SQL, implementing complex queries and managing databases.
- Proficient in programming languages such as Python, Scala, Java, and C++, tailored for scalable data engineering solutions.
- Expertise in data visualization tools (Power BI, Qlik, etc.).
- Apply advanced techniques in data engineering and modeling, lead programs and mentoring others.
- Proficient in DevOps practices and continuous integration, enhancing operational efficiencies and deployment strategies.
- Demonstrate expertise in software development methodologies and data structures, optimizing algorithms for complex data operations.
- Experience with distributed data technologies like Spark and Hadoop, improving large-scale data processing and analytics.
- Experienced in system integration, ensuring seamless data flow and functionality across multiple platforms.
- Expertise in deploying and managing applications on cloud platforms using tools like Kubernetes, enhancing scalability and reliability.
- Analytical skills, able to transform data into applicable insights that move decision-making.
- Leadership capabilities, able to guide and inspire junior engineers, promoting a collaborative and work environment.
- Can solve a range of moderate scope and complexity problems, occasionally referring to policies and practices for guidance.
- Analyze situations and data, exercising judgment within established procedures, and fostering productive relationships internally and externally.
At Takeda, we are transforming patient care through the development of novel specialty pharmaceuticals and best in class patient support programs. Takeda is a patient-focused company that will inspire and empower you to grow through life-changing work.
Certified as a Global Top Employer, Takeda offers stimulating careers, encourages innovation, and strives for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
Empowering our people to shine
Takeda is proud in its commitment to creating a diverse workforce and providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, parental status, national origin, age, disability, citizenship status, genetic information or characteristics, marital status, or any other characteristic protected by law.
Locations:
ITA - RietiITA - Pisa
Worker Type:
Employee
Worker Sub-Type:
Regular
Time Type:
Full timeSeniority level
- Seniority levelMid-Senior level
- Employment typeFull-time
- Job functionInformation Technology
- IndustriesPharmaceutical Manufacturing
Referrals increase your chances of interviewing at Takeda by 2x
Get notified about new Data Engineer jobs in Rieti, Latium, Italy .
Smart Factory & Digital Solutions Internship (All Genders)Data Engineer/ Data Visualization & Analytics ExpertWe’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrSenior - Data Visualization Specialist
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SDG Group è un gruppo di consulenza focalizzato nelle Data Analytics Practices che opera in tutto il mondo aiutando i clienti nel percorso Data Driven Decision Making attraverso le metodologie, architetture e soluzioni più innovative e adeguate ad ogni contesto.
Il tuo ruolo:
SDG Group è alla ricerca di un Senior Data Visualization Specialist appassionato, energico e dinamico.
Il ruolo prevede la gestione e il coordinamento di progetti end-to-end incluse attività di raccolta dei requisiti e progettazione del modello di dati più appropriato, disegno di dashboard, report e regole di governance e best practices per poter soddisfare le esigenze del cliente.
È richiesta inoltre la capacità di creare nuove opportunità commerciali, gestire team e delivery di progetto.
Responsabilità:
- Disegnare i data model per garantire reporting efficaci ed efficienti.
- Incontrare i clienti ed elaborare report dettagliati sugli ordini e chiarire i requisiti tecnici e di business specifici di ogni progetto.
- Coordinare le risorse SDG interne, terze parti / fornitori e talvolta le risorse dei clienti per l’esecuzione impeccabile dei progetti.
- Creare e mantenere una documentazione completa del progetto.
- Almeno 3 anni di esperienza nel campo degli Analytics e nell’utilizzo dei principali tool di BI, in particolare in attività architetturali: Qlik (Qlikview, Qlik Sense, ecc.), Tableau, Microstrategy, Microsoft Power BI.
- Esperienza in design e realizzazione di dashboard e strumenti di analisi dati tecnologicamente avanzati e innovativi.
- Interesse per nuove tecnologie e architetture BI.
- Ottime capacità comunicative in italiano e inglese.
- Laurea in discipline inerenti l’analisi del dato (Statistica, Matematica, Informatica, Ingegneria Informatica, Ingegneria Gestionale o lauree equipollenti).
Requisiti preferenziali:
- Certificazioni conseguite in almeno una delle tecnologie inerenti la Data Visualization.
- Conoscenza di SQL, Python, R.
- Conoscenza dei principi base legati ai Big Data e alle piattaforme Cloud.
L’opportunità:
- Lavorare in prima linea interfacciandosi con i clienti e coordinando diverse risorse su progetti nazionali e internazionali.
- Progettare e implementare la soluzioni di Business Intelligence in una delle società di Big Data & Analytics in più forte crescita in Europa.
- Formazione continua per tutto l’arco della carriera con possibilità di ottenere certificazioni.
- Meritocrazia e raggiungimento di traguardi professionali attraverso una valutazione oggettiva e periodica della performance.
Lavorare in SDG significa entrare a far parte di una delle società di consulenza gestionale in più rapida crescita con il più alto tasso di crescita in Business Analytics, Corporate Performance Management e Advanced Business Solutions. Con oltre 2000 professionisti in tutto il mondo, è riconosciuta da Gartner tra le 37 aziende più all'avanguardia al mondo nel settore Data & Analytics, come unico italiano e secondo in Europa. SDG opera in Italia con 4 sedi (Milano, Firenze, Roma e Verona) e Filiali in Spagna, Germania, Francia, UK, USA e Medio Oriente, vantando oltre 500 clienti in tutti i settori di riferimento.
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