Business Data Analyst

About the role We are looking for a switched‑on Data Analyst to manage and evolve our reporting pipelines, analytics and automation workflows across European digital transformation unit supporting sales and marketing programs. This role goes beyond traditional reporting. It combines designing, building, and maintaining end-to-end data pipelines ensuring high‑quality, standardized and scalable reporting for the business. This role has a strong focus on reporting ownership, automation and data quality, while working closely with business stakeholders and technology teams to ensure data is translated into reliable insight and effective decision‑making. Apply if You think you are good match for most of the requirements in the job description. You are a team player, and you enjoy working in a multicultural team. You approach business and technical issues with flexibility and rigor. You are comfortable owning reporting end‑to‑end, including recurring deliverables, data validation, fixing issues, and improving existing dashboards — not just designing new ones. You like having clear ownership and accountability rather than jumping between loosely defined initiatives. You are comfortable working close to the business, translating requests into concrete analytical solutions, even when requirements are incomplete at first. You can work independently, manage priorities, and take responsibility for outcomes, not just tasks. You see automation, standardization and scalability as core parts of your professional identity, not as side work. You are curious about experimenting with emerging AI capabilities in analytics environments. Key responsibilities Reporting and Analytics foundations End‑to‑end ownership of reporting frameworks and data pipelines Enabling consistent, decision‑ready reporting across the European business through automated reporting and ad-hoc analysis. Ensure a high level of data quality, consistency and reliability across all reports. Contribute to the continuous improvement of reporting infrastructure and metrics definitions. Automation and process improvement Identify opportunities to streamline, automate and optimize analytics and data processes. Design, execute and continuously improve scalable and automated reporting and analytics solutions. Define and document data pipelines, dependencies and sources. Coordinate with IT and Data Platform teams on the implementation of automation and enhancements. Support sustainable and well‑governed processes rather than ad‑hoc solutions. Business Partnership & Enablement Work closely with business stakeholders translate business objectives into clear analytical requirements and reporting specifications. Support digital transformation initiatives by providing trusted data and analytics foundations. Reporting & Analysis Support insight generation related to customer behavior and business performance, in collaboration with advanced analytics or specialist teams where relevant. Own the end-to-end lifecycle of dashboards and reporting Perform structured and ad‑hoc analysis to support business questions and priorities. AI-Enhanced Analytics Explore opportunities to leverage Generative AI to, automate reporting narratives and insights generation, improve data, accelerate development of data pipelines. Experience, skills & profile Required experience Proven experience in a Business Data Analyst, BI Analyst or Analytics role. Proven ability to collaborate with Data Engineers and Data Analysts to build infrastructure. ELT mindset and familiar with dbt concepts. Comfortable with Python for data processing, scripting and automation. Experience working with Cloud Data Warehouse (ideally Snowflake) Advanced SQL skills (Data modeling basics, complex joins and transformations, query optimization) Hands‑on experience creating and maintaining reports and dashboards using Power BI and DAX. Personal attributes Comfortable owning analytics deliverables end‑to‑end. Able to drive clarity in ambiguous situations. Comfortable working in a multicultural, cross‑functional environment as a team player Professional written and spoken English is required. EU citizenship or valid work permit required. Working Conditions: Hybrid work model: 2 days in the office and 3 days remote per week. Key Skills Accountability, Collaboration, Data Analysis, Data Pipelines, Data Processing, Process Improvements, Report Analysis, Report Automation At TD SYNNEX, our values guide everything we do: Together, We Own It, We Dare to Go, We Grow and Win, and above all, We Do the Right Thing. These principles shape how we work with each other, our partners, and our communities as we drive innovation and create lasting impact. What’s In It For You? Elective Benefits: Our programs are tailored to your country to best accommodate your lifestyle. Grow Your Career: Accelerate your path to success (and keep up with the future) with formal programs on leadership and professional development, and many more on-demand courses. Elevate Your Personal Well-Being: Boost your financial, physical, and mental well-being through seminars, events, and our global Life Empowerment Assistance Program. Diversity, Equity & Inclusion: It’s not just a phrase to us; valuing every voice is how we succeed. Join us in celebrating our global diversity through inclusive education, meaningful peer-to-peer conversations, and equitable growth and development opportunities. Make the Most of our Global Organization : Network with other new co-workers within your first 30 days through our onboarding program. Connect with Your Community: Participate in internal, peer-led inclusive communities and activities, including business resource groups, local volunteering events, and more environmental and social initiatives. Don’t meet every single requirement? Apply anyway. At TD SYNNEX, we’re proud to be recognized as a great place to work and a leader in the promotion and practice of diversity, equity and inclusion. If you’re excited about working for our company and believe you’re a good fit for this role, we encourage you to apply. You may be exactly the person we’re looking for!