Business, Intelligence

Onetag is the next-generation value exchange for the open internet, combining quality media, immersive creative intelligence, and AI-driven decisioning to deliver measurable business outcomes at scale. Through direct integrations with more than 2,000 premium publishers worldwide, Onetag enables over 5,000 brands and agencies to reduce waste and achieve better results, without adding operational complexity. In March 2026, Onetag acquired Aryel, the Italian ad tech company specializing in immersive and interactive advertising experiences. Since 2022, Onetag has been part of the Wisequity V portfolio, managed by Wise Equity SGR S.p.
A. Headquartered in Italy, Onetag is driving growth across the US, Europe and rest of the world with a diverse, friendly and focused team. We are looking for a BI Analyst to join Onetag's Finance Unit and help shape the next chapter of our Business Intelligence capability. Reporting to the Head of FP&A, BI and Consolidation , you will contribute to BI 2.0 — a strategic programme designed to strengthen how the Group defines, owns and delivers trusted KPIs. From day one, you will work closely with your manager and with colleagues across Finance, Data Science and Data Engineering. Together, you will translate business questions into reliable data products, learn the Group's data landscape and build strong foundations for consistent, decision-ready reporting. As your business knowledge and confidence grow, you will take increasing ownership of dashboards, KPI governance and stakeholder relationships, with a clear path towards managing BI initiatives more independently. You will thrive in this role if you combine analytical curiosity with a collaborative mindset, care about turning complexity into clarity and are motivated by the opportunity to grow your impact over time. Our values — collaboration, innovation, wellbeing and ownership — will guide how you work and develop at Onetag. The BI 2.0 squad brings together Finance and Data Science around a shared goal: making data easier to trust, understand and use. Finance sets business priorities and owns KPI governance, while Data Science and Data Engineering provide the technical expertise behind pipelines, models and BI tooling. You will join a team where knowledge is shared openly and business and technical perspectives carry equal weight. You will initially partner closely with the Head of FP&A, BI and Consolidation and with the Data Science and Data Engineering teams, receiving context, guidance and technical support as you become familiar with our systems and priorities. Over time, you will become a trusted bridge across these teams and expand your collaboration to Commercial stakeholders in Demand, Supply, Curation and Aryel. Contribute to the delivery and continuous improvement of the QuickSight dashboard suite covering revenue, margin, opex, cash and performance versus budget and prior year Work alongside Data Engineering to consolidate the Finance data mart, connecting AWS/OT ad-serving data with Netsuite and Excel sources Help maintain and evolve the shared KPI dictionary, documenting formulas, sources, refresh cadence and ownership Cross-Functional Collaboration Partner closely with the Head of FP&A, BI and Consolidation to understand priorities, frame business questions and validate outputs with the FP&A team Collaborate day to day with Data Science and Data Engineering, translating business needs into clear requirements and contributing to practical technical solutions Build trusted relationships with stakeholders and progressively lead BI conversations, from requirements gathering through delivery and adoption As the BI capability expands, collaborate with Demand, Supply, Curation and Aryel stakeholders to bring high-quality insights to new business domains Support the intake and coordination of BI requests through Jira/ClickUp, helping maintain clear visibility of status, priorities and service levels Learn and apply the prioritisation framework across Finance, Executive and wider business requests, progressively taking responsibility for managing selected workstreams Enable Finance self-service by creating clear documentation, sharing knowledge and supporting stakeholders in using data confidently Identify opportunities to improve reporting quality, efficiency and user experience, proposing solutions with the support of your manager and technical colleagues Degree in Economics, Finance, Management Engineering or a related field, or equivalent professional experience ~3–5 years of experience in Business Intelligence, Data Analytics, Business Analysis or FP&A, ideally in a role connecting data and business stakeholders ~ Hands-on experience with BI platforms — QuickSight is a plus, while Tableau, Power BI or Looker are equally valued — and a solid working knowledge of SQL ~ Confidence working with Excel and exposure to Finance systems such