Data Analyst at Shopfully

, , Italy -

Full Time

Start Date

Immediate

Expiry Date

25 May, 26

Salary

35000.0

Posted On

24 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Tableau, ThoughtSpot, Power BI, Python, R, Data Modeling, Semantic Layers, Data Accuracy, Stakeholder Management, Communication, Data Visualization, Analytical Solutions, Business Intelligence

Industry

Software Development

Description

We are the platform turning browsing into shopping. We connect 200 million shoppers with deals they love while boosting local sales for hundreds of top retailers and brands. We help consumers save time and money while making smart shopping decisions, and we support retailers and brands in engaging customers from online research to in-store purchases. Ready to spark your growth with us? 🚀 WHO WE LOOK FOR 🦄 We’re looking for a Data Analyst to join our Data Analytics team and help transform large volumes of user data into actionable insights that drive business decisions and product development. Every day our ingestion system receives more than 100 million events from users worldwide. Our mission is to unlock the value of this data and turn it into meaningful insights that support business growth and innovation. As a Data Analyst, you will collaborate closely with Data Enablement teams, embedded analytics teams, and business stakeholders to understand business needs and translate them into scalable analytical solutions. You will help teams monitor performance, measure feature effectiveness, and enable data-driven decision-making across the organization. You will also contribute to the design and adoption of self-service Business Intelligence tools, ensuring data accuracy, usability, and strong data literacy across teams. WHAT YOU WILL DO 🏄 Turn business needs into clear analytical solutions, dashboards, and reporting assets. Design and develop intuitive dashboards and visualizations that enable data-driven decision making. Work closely with business teams and Data Analytics Leads to analyze data, measure feature effectiveness, and generate actionable insights. Collaborate with Data Engineers to build and maintain reliable data models and semantic layers for self-serve analytics. Ensure data accuracy, consistency, and performance across BI tools and reporting solutions. Monitor dashboard usage and continuously improve adoption through training, documentation, and feedback loops. Support data literacy across the organization by training users and promoting best practices in data usage. Collaborate with cross-functional teams to troubleshoot, improve, and scale analytics solutions. WHAT YOU WILL NEED 🪄 2-3 years of experience in a Data Analyst or Business Intelligence Analyst role. Strong analytical mindset with the ability to collect, organize, analyze, and visualize large datasets with accuracy and attention to detail. Intermediate knowledge of SQL for data analysis and querying. Experience creating dashboards and visualizations using BI tools such as Tableau, ThoughtSpot, Power BI, or similar. Programming experience with Python or R for data analysis. Experience translating business requirements into data models, dashboards, or analytical solutions. Strong communication and stakeholder management skills. Ability to work autonomously and proactively in a fast-paced environment. Fluent in English. 👉 At our company, we value diversity and actively encourage it — we believe a variety of perspectives and backgrounds makes us stronger. We focus on potential rather than on having a “perfect” CV. If this role excites you and you believe you could grow into it — even if you don’t tick every single box in the requirements — we’d love to hear from you! NICE TO HAVE 🎆 Advanced experience with Tableau and/or ThoughtSpot. Experience working with dbt, Databricks, or modern data platforms. Experience using AI tools to enhance data analysis workflows. Knowledge of additional languages such as Italian, Spanish, or German. Experience contributing to data literacy programs or BI adoption initiatives. SALARY RANGE ⚖️ : €30.000 – €35.000 gross annual salary LOCATION 🌐 While we have an office in Milan, you can benefit from our flexible hybrid model, empowering you to work where you're most effective. Remote available from Italy. WHAT YOU WILL FIND AT SHOPFULLY 🤗 🌎 An opportunity to thrive in a rapidly scaling multinational company 🕶️ A vibrant, informal, and inclusive work environment 🧠 We champion autonomy, flexibility, and a hybrid work model, empowering you to own your work 📚 Access to learning opportunities and regular feedback sessions 🍓 Enjoy our central, modern offices featuring fresh snacks, coffee (including vegan options!), and ergonomic setups 🎉 Engage in meaningful team events: offsites, happy hours, company parties and celebrations that unite us beyond daily tasks 💻We provide all the necessary equipment for you to work effectively and set up your workspace, wherever you are 🧰 Benefit from additional country-specific advantages based on local contracts and practices WHO WE ARE 💜 We’re a team of 450 people (and counting!), from 30 different nationalities. We’re on a mission to innovate, and we believe the key to that is seeing the world through a variety of perspectives. That’s why building a more diverse team, as well as bringing in even more talent, is so important for us. TO FEEL AT HOME 🛋️ IN SHOPFULLY YOU NEED 🎯 Progress Over Perfection: We move forward. Always. In a fast-moving world, speed with purpose beats certainty without action. Momentum matters—not for its own sake, but because it drives results. Clarity Through Transparency: We bring each other along. We work in teams, not silos. Transparency gives context, and context enables action. That means we share decisions early, publish work in progress, and document outcomes so others can learn, move faster, and build better. Learn Loudly: We grow by doing and by daring. Big bets unlock big breakthroughs. But real innovation demands risk, and risk always carries the possibility of failure. That’s not a flaw. It’s the price of ambition. Challenge with Empathy: We speak up, even when it’s hard—because candor shows care, and leads to better outcomes. Listening deeply is how we grow. Disagreeing openly is how we build trust. Always Build Better: We are builders—of products, systems, and ideas. But more than that, we are builders of better. Better has no finish line. It’s a mindset. If you choose to apply for this specific job position and submit your application, which may include personal data such as your identifying details, contact information, curriculum vitae, cover letter, professional qualifications, and/or employment history, please be informed that your data may be shared with our Affiliates*, including Offerista Group GmbH and Flipp Operations Inc. The aforementioned entities will act as joint controllers for the limited purpose of intra-group sharing related to the evaluation of candidates’ applications. This means that your data may be processed by the Affiliate to assess your application and, if deemed suitable, to contact you regarding potential employment opportunities. However, please note that from the moment an Affiliate initiates direct contact with you and engages in any further processing of your personal data beyond the initial intra-group sharing for evaluation purposes, such Affiliate shall act as an independent data controller. In such cases, the processing of your personal data will be subject to the specific privacy policies that can be found here. * Affiliates shall mean any entity that directly or indirectly controls, is controlled by or is under common control with ShopFully SpA and its Affiliates’ subsidiaries, meaning any entity which is directly or indirectly controlled by the Affiliates.

Responsibilities

The Data Analyst will be responsible for translating business needs into analytical solutions, designing intuitive dashboards, and generating actionable insights by analyzing data and measuring feature effectiveness. They will also collaborate with Data Engineers to build reliable data models and ensure data accuracy across Business Intelligence tools.