Elite - Business Data Analyst

Job Overview

ELITE – Business Data Analyst (Milan, Palazzo Mezzanotte) – Gross Annual Salary: Visualizzare il telefono su click.appcast.io euro.

The resource – within the Strategy and Business Development division – will support data‑driven activities and strategic initiatives by gathering, organizing and analysing information from complex datasets to extract actionable insights in order to enhance business performance and decision‑making, both for internal scope (i.e. analysis, reporting, new members onboarding, …) and for business development insights (i.e. clients' needs mapping, data strategy evolution, data‑driven upselling/cross selling opportunities). The Business Data Analyst will work in coordination with the other ELITE's business divisions including product, sales and marketing to continuously enhance and foster a data‑driven approach across all ELITE’s functions. Activities will involve data operations and manipulation tasks including cleaning and integration.

Key Responsibilities

• Data Management: Analysis, quality assurance, integration of data collected from the community to produce solid data sets usable for internal and external analysis, visualization and future machine learning operations; valorization and integration of unstructured data, classification and extraction of relevant information from different data sources; ensure data quality and maintenance of data assets (internal DB) by implementing best practices in data management and governance.
• Data Analysis & Insights: Analyze datasets to identify trends, patterns, and opportunities for business improvement; provide actionable insights based on data to monitor and enhance business performance.
• Reporting & Visualization: Create and maintain dashboards, reports and visualizations (Excel, Power BI, …) to communicate key metrics and insights effectively.
• Support on Product & Market development: Build specific, sector‑oriented knowledge for the different products/solutions to be developed or tested with current and prospect clients Europe‑wide; help identify market needs and opportunities through data analytics and provide actionable potential offer/product and sales activities (outbound); collaborate with cross‑functional teams (sales, marketing, product) to support the development of new products/solutions and maintenance of existing products/solutions in line with client requirements and data mapping.
• Contribution on revenue management: Enhance data management and strategy to continuously improve and maintain revenues (including on a recurring basis) with existing and new clients.
• Client success: Support the team to ensure that the service/product is successfully delivered to the clients; identify upselling/cross‑selling opportunities.

Candidate Profile / Key Skills

• Education: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, Management Engineering, Economics, or a related field.
• Proven experience (at least 2y) in data management, analytics and insight generation.
• Experience in a role to support business development, strategy, innovation or sales is a plus.
• Strong analytical thinking and problem‑solving skills with the ability to analyze complex data and provide actionable insights.
• Proficiency in data analysis tools and languages, including Excel Power Queries, R, SQL and Python, and data visualization tools like Power BI.
• Excellent verbal and written communication skills, with the ability to clearly and concisely present complex information to non‑analytical stakeholders.
• Ability to leverage internal and external relationships, drive forward projects and provide clear business input into functional requirements.
• Proactive attitude, precision and attention to detail, ability to adapt in a dynamic and cross‑functional environment.
• Collaborative, open, pragmatic, team‑worker, customer oriented and data driven approach to work.
• Fluency in English.

Equal Opportunity Statement

We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.