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Titan OS in Barcelona is seeking a BI Analyst to turn data into actionable insights and KPI-driven decisions. You will partner with cross-functional teams, translating business goals into data requirements and collaborating with Data Engineering to deliver needed datasets.
You will apply statistical methods and build compelling dashboards using Tableau, Looker, Power BI, and open-source BI tools, driving revenue growth through data-driven insights.
Titan Operating System S.L. (Titan OS), the Barcelona-based technology, entertainment, and advertising company, is looking for you!
Our platform combines content discovery and advertising technology in one solution, helping leading TV brands unlock greater value. Titan OS powers devices from major brands including Philips, AOC and JVC, reaching millions of viewers across Europe and LATAM. Titan OS is also powering free premium FAST Channels on selected SONY Android TVs.
Over the last two years, Titan OS has grown revenue 10x and attracted leading investors, including Highland Europe and Mangrove.
At TitanOS, we live by three core values:
Culture and environment are at the heart of our ethos. If the above resonates with you, keep reading because we believe you could be a perfect addition to our incredible team!
We are looking for a BI Analyst with a wide cross-section of skills, ability and experience.In this role, you will bring data to life through engaging visualizations and compelling insights that help business teams make confident decisions. You will partner with teams across the business to understand their strategic goals and translate them into actionable KPIs and data requirements. Working closely with Data Engineering, you will help define and deliver the data needed to track these metrics effectively.
You will apply your numerical and statistical expertise to identify meaningful patterns, trends, and opportunities within the data, turning your findings into clear recommendations for business teams and Senior Management. You will also help shape how data is used across the organization, driving a more data-driven and data-democratic culture.