3 of 3 Dataiku Jobs in the UK excluding London

proficient in working directly with end users. Responsibilities include user training, data warehousing, and the development of top-tier reporting solutions. The ideal candidate is experienced with the Snowflake, Dataiku, and Power BI stack. In addition to strong technical skills, the candidate must demonstrate solid project management capabilities, including scoping use cases, defining timelines, setting milestones, and tracking progress to … ensure successful and timely delivery. Responsibilities Collaborate with business stakeholders to understand their data needs and deliver actionable insights. Utilize Dataiku for data integration, transformation, and analysis, as well as coaching users to perform these tasks independently. Develop business intelligence dashboards and reports using Power BI. Train and support end users on the effective use of data tools and technologies. … Skills and Abilities: Proven experience managing analytics or data-related projects from scoping through delivery. Proficiency in cloud-based data warehousing solutions. Experience with data processing and analytics tools (Dataiku, Alteryx, or similar). Strong skills in building advanced dashboards and reports with Power BI (or similar tools such as Tableau). Demonstrated ability to work independently and embrace complex More ❯

roles for a number of years. Demonstrated ability to able to interpret complex business scenarios and produce accurate analysis and MI/Data solutions under pressure. Experience with using Dataiku or DataBricks platforms. Prior experience with risk reporting, including accounting and regulatory requirements. Additional Information At bp, we provide the following environment and benefits to you: • A company culture where More ❯

years of experience in a data driven analyst role (commodity market experience, particularly Oil market exposure would be beneficial) Possess intermediate to advanced SQL skills (experience with Python, Dataiku, Streamlit, or Tableau is a plus) Demonstrate strong logical thinking and attention to detail Are comfortable working with large, disparate, or unstructured datasets Have excellent analytical skills and can translate complex More ❯