Project Manager & Functional Analyst – Data Analytics

What We Do

We help public and private companies to re‑design their business models through the development of innovative and sustainable solutions, which have a positive impact not only on our customers but also on the world we live in. Through circular economy models, made possible thanks to technological innovation. What you will find

Flexibility , thanks to our policy you can work remotely in Italy, up to 5 days a week, and in SEE and Switzerland up to 5 months a year; Training & development

as you can participate to training on the job, certifications, foreign languages classes and you will have a yearly budget to buy training courses; Gender equality & inclusion , the obtaining of Pdr 125 is a proof of Avvale commitment to an inclusive and fair work environment; Compensation & Benefits

In line with our commitment to transparency and people development, the gross annual salary (RAL) for this position ranges between €40,000 and €55,000, commensurate with experience and skills. The position is covered by the 'CCNL Commercio e Terziario' (National Collective Labor Agreement for Commerce and Service Sector), alongside a benefits package that includes meal vouchers, wellbeing initiatives (including Wellhub), and growth opportunities. Role and responsibilities

We are looking for a Project Manager & Functional Analyst – Data Analytics (5-10 years of experience) (Candidates with experience in only one of the two requested roles will also be considered). Your responsibilities will be

Responsibility for the governance of project initiatives throughout their entire lifecycle, from the assessment and process analysis phase to the release and deployment of the solution, ensuring compliance with timeline, costs, quality, and business objectives; Supporting the client in identifying information needs, defining functional requirements, and translating business needs into data‑driven technological solutions; Gathering and formalizing business requirements, defining data models and KPIs, and handling the functional design of reporting and analytics solutions; Coordinating multidisciplinary teams composed of business analysts, data engineers, BI developers, and technical specialists; Proven experience (5-10 years) in managing Data Analytics, Business Intelligence, and Data Platform projects, with the ability to combine project management skills, functional analysis, and knowledge of main modern data architectures; Experience gained in the following contexts: Data Warehouse and Data Lake; Business Intelligence and Reporting; Data Governance and Data Quality; Data Migration and Data Modernization; Enterprise Data Platform on cloud (Azure, AWS, Microsoft Fabric); Analytics and Self‑Service BI. Core competencies

Gathering and analyzing business requirements; Drafting functional analysis and project documentation; Conceptual and functional data modeling; Defining KPIs, metrics, and business rules; Coordinating project teams and stakeholder management; Planning, progress monitoring, and risk management; Delivery coordination; Conducting workshops and business analysis sessions; Supporting functional testing, UAT, and production releases. Soft Skills

Leadership and team coordination; Ability to interact with business and IT stakeholders; Problem‑solving and result‑oriented mindset; Effective communication at all organizational levels; Workshop facilitation and management skills; Managerial autonomy and proactivity; Strong orientation towards data quality and the business value of analytics solutions. Nice to Have

Knowledge of major Data Analytics and Business Intelligence platforms such as: Microsoft Fabric; Power BI; Databricks; Qlik Sense / QlikView; Tableau; Data Governance and Data Quality tools. Come with us

You will have the opportunity to work and get in touch with international players who will allow you to increase your know‑how in view of future challenges. We do not consider applications without CV. Avvale promotes equal opportunity. We enhance diversity and are committed to creating an inclusive environment in compliance with applicable non‑discrimination and data protection laws.

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