Descrizione dell'offerta
Job Overview
Supervisor – IT Data Analytics (Data Analyst Supervisor) based in Piove di Sacco (PD), Italy.
Lead a distributed team of data analysts, own the full BI delivery chain from ETL to reporting, and serve as a strategic bridge between analytics and business functions.
Responsibilities
Team Leadership & Project Management (40%)
Lead, mentor, and develop a team of data analysts across multiple locations and time zones. Plan and prioritize team workload, balancing recurring reporting activities with strategic BI projects. Manage BI projects end‑to‑end: scoping, planning, execution, delivery, and post‑launch optimization. Conduct performance reviews, set development goals, and support career growth of team members. Establish and maintain consistent methodologies, standards, and documentation across the team. Gather requirements and align priorities with stakeholders across IT, Sales, Finance, and Operations. Build and nurture strategic relationships with cross‑regional and cross‑functional partners to drive long‑term alignment and unlock collaboration opportunities.
BI Architecture & Hands‑On Delivery (30%)
Own the BI architecture and semantic layer design, partnering with IT on platform‑level decisions and infrastructure while retaining ownership of the analytics and reporting layer. Design and optimize the data flow from source to consumption: ETL pipelines in Snowflake, Power BI datasets, report delivery to end‑users. Build and maintain Power BI dashboards and reports: advanced DAX, data modeling, calculated tables, and performance optimization. Define and manage data access and visibility rules across all reports and apps, ensuring each stakeholder sees only authorized information. Ensure data accuracy, governance, and consistency across all BI outputs. Identify and implement improvements to reporting processes, automation, and self‑service capabilities.
Surveys & Voice of Customer (20%)
Coordinate the team’s VoC activities, overseeing survey design, execution, and analysis using Qualtrics across regions. Ensure VoC results are translated into actionable insights that inform product, sales, and marketing decisions. Guide the integration of survey data into the broader BI ecosystem to enrich reporting and segmentation.
AI/ML Support (10%)
Provide support to AI/ML initiatives when needed, contributing expertise on data readiness, quality, and pipeline integration. Help the team explore opportunities to apply advanced analytics and automation to existing processes.
Qualifications
Bachelor’s or Master’s degree in a technical field (Engineering, Computer Science, Statistics, Economics, or related). 5+ years of experience in data analysis, BI development, or analytics roles. Proven experience leading or coordinating a team (even informally). Advanced proficiency in Power BI: complex data models, DAX, workspace governance, app deployment, and audience‑based access management. Solid SQL skills: writing, optimizing, and troubleshooting queries in Snowflake or similar cloud data warehouses. Experience designing or managing ETL/ELT pipelines and understanding of data architecture principles. Experience with data governance, access control, and compliance in BI environments. Strong project management skills: ability to run multiple concurrent projects with clear timelines and deliverables. Excellent stakeholder management and communication: ability to influence without authority across functions and regions. Fluency in English (written and spoken). International travel availability.
Nice-to-Have
Python for data manipulation, automation, or analytics. Experience with Qualtrics or similar survey platforms. Exposure to AI/ML concepts and tools. Experience in a global, matrix organization. Knowledge of marketing analytics, customer segmentation, or pricing analysis.
What We Are Looking For
A hands‑on leader who can switch between strategic thinking and detailed execution. Strong ownership mentality: takes accountability for delivery quality and team performance. Ability to build trust and develop strategic relationships across regions and functions. Comfortable navigating ambiguity in a fast‑changing, global environment. Proactive problem‑solver who anticipates issues and drives continuous improvement.
Work Authorization & Equal Opportunity Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression, genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F‑1, H‑1, H‑2, L, B, J, or TN or who need sponsorship for work authorization now or in the future are not eligible for hire. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to [email protected]. #J-18808-Ljbffr
Lead, mentor, and develop a team of data analysts across multiple locations and time zones. Plan and prioritize team workload, balancing recurring reporting activities with strategic BI projects. Manage BI projects end‑to‑end: scoping, planning, execution, delivery, and post‑launch optimization. Conduct performance reviews, set development goals, and support career growth of team members. Establish and maintain consistent methodologies, standards, and documentation across the team. Gather requirements and align priorities with stakeholders across IT, Sales, Finance, and Operations. Build and nurture strategic relationships with cross‑regional and cross‑functional partners to drive long‑term alignment and unlock collaboration opportunities.
BI Architecture & Hands‑On Delivery (30%)
Own the BI architecture and semantic layer design, partnering with IT on platform‑level decisions and infrastructure while retaining ownership of the analytics and reporting layer. Design and optimize the data flow from source to consumption: ETL pipelines in Snowflake, Power BI datasets, report delivery to end‑users. Build and maintain Power BI dashboards and reports: advanced DAX, data modeling, calculated tables, and performance optimization. Define and manage data access and visibility rules across all reports and apps, ensuring each stakeholder sees only authorized information. Ensure data accuracy, governance, and consistency across all BI outputs. Identify and implement improvements to reporting processes, automation, and self‑service capabilities.
Surveys & Voice of Customer (20%)
Coordinate the team’s VoC activities, overseeing survey design, execution, and analysis using Qualtrics across regions. Ensure VoC results are translated into actionable insights that inform product, sales, and marketing decisions. Guide the integration of survey data into the broader BI ecosystem to enrich reporting and segmentation.
AI/ML Support (10%)
Provide support to AI/ML initiatives when needed, contributing expertise on data readiness, quality, and pipeline integration. Help the team explore opportunities to apply advanced analytics and automation to existing processes.
Qualifications
Bachelor’s or Master’s degree in a technical field (Engineering, Computer Science, Statistics, Economics, or related). 5+ years of experience in data analysis, BI development, or analytics roles. Proven experience leading or coordinating a team (even informally). Advanced proficiency in Power BI: complex data models, DAX, workspace governance, app deployment, and audience‑based access management. Solid SQL skills: writing, optimizing, and troubleshooting queries in Snowflake or similar cloud data warehouses. Experience designing or managing ETL/ELT pipelines and understanding of data architecture principles. Experience with data governance, access control, and compliance in BI environments. Strong project management skills: ability to run multiple concurrent projects with clear timelines and deliverables. Excellent stakeholder management and communication: ability to influence without authority across functions and regions. Fluency in English (written and spoken). International travel availability.
Nice-to-Have
Python for data manipulation, automation, or analytics. Experience with Qualtrics or similar survey platforms. Exposure to AI/ML concepts and tools. Experience in a global, matrix organization. Knowledge of marketing analytics, customer segmentation, or pricing analysis.
What We Are Looking For
A hands‑on leader who can switch between strategic thinking and detailed execution. Strong ownership mentality: takes accountability for delivery quality and team performance. Ability to build trust and develop strategic relationships across regions and functions. Comfortable navigating ambiguity in a fast‑changing, global environment. Proactive problem‑solver who anticipates issues and drives continuous improvement.
Work Authorization & Equal Opportunity Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression, genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F‑1, H‑1, H‑2, L, B, J, or TN or who need sponsorship for work authorization now or in the future are not eligible for hire. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to [email protected]. #J-18808-Ljbffr
Candidatura e Ritorno (in fondo)
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