Data Analyst - Senior Specialist

Sky Italia; Turbigo; In loco; EUR 30.000 - 45.000; Tempo pieno

Descrizione del lavoro

Sky Italia recherche un Data Analyst pour rejoindre le département des consommateurs. Le candidat retenu analysera les comportements des clients pour identifier des initiatives visant à améliorer la valeur et l'expérience client. Ce rôle exige des compétences solides en analyse de données, ainsi qu'une maîtrise des outils R, Python et Tableau.

Competenze

• Excellentes compétences en analyse, traitement et extraction de données.
• Maîtrise de R et/ou Python.
• Connaissance de Tableau pour la visualisation des données.

Mansioni

• Construire et analyser la base de données pour comprendre les préférences clients.
• Segmenter la clientèle pour identifier les potentiels de croissance.
• Interpréter et présenter efficacement les résultats analytiques.

Conoscenze

Data analysis

Data processing

Data mining

Communication

Team-building

Strumenti

R

Python

Tableau

Descrizione del lavoro

Job Opening: Data Analyst - Customer Base Analytics

We are seeking a Data Analyst to join the Consumer Department within the Customer Base Analytics area at Sky. The successful candidate will analyze customer behaviors based on profiles and product usage to identify and evaluate initiatives aimed at enhancing the value and customer experience.

1. Main Responsibilities:
2. Build, analyze, and continuously enrich the database to understand customer preferences, needs, touchpoint journeys with Sky, and product usage behaviors.
3. Segment the customer base to identify growth potential based on customer needs and profiles.
4. Identify, through quantitative analysis, inefficiencies, process faults, or areas of customer dissatisfaction.
5. Understand customer reactions to specific events and campaigns (e.g., programming schedules, new products/services, communications, technological interventions).
6. Define and support appropriate actions proactively or in collaboration with internal or external teams.
7. Monitor and evaluate the results of implemented actions during testing phases and in operational regimes.
8. Interpret, synthesize, and effectively present analytical results.

Requirements:

• Excellent data analysis, processing, and mining skills.
• Proficiency in R and/or Python software.
• Knowledge of Tableau for data visualization and presentation.
• Strong ability to visually represent analyzed data and communicate findings.
• Excellent command of the English language.
• Passionate about data with strong business acumen.
• Decision-making based on data analysis.
• Strong communication skills for presenting analytical results for business purposes.
• Good relational and team-building skills.
• Energetic and proactive attitude.