9 open jobs on The Stack list Power BI as a key skill. They come from 8 companies in 7 countries, and 9 offer visa sponsorship. All were posted in the last 60 days.
This page lists jobs whose listing names Power BI in its key skills. We do not guess skills from the job title.
What you'll do: Collaborate with stakeholders to translate requests into clear business problems, assess data availability, and transform raw data into clean datasets. Design data models, build MVP dashboards, and iterate based on user feedback while…
What they ask for: Degree in Maths, Economics, Statistics or related STEM field and at least 2 years of BI experience. Proficient in data visualization tools (Power BI, Tableau), data transformation, and data modeling; strong analytical and communication…
What you'll do: Develop, maintain and enhance Power BI dashboards, translating stakeholder requirements into actionable visualisations. Analyse data from multiple sources to identify trends, opportunities and risks, enabling data-driven decision making…
What they ask for: Minimum 2 years in a Data/BI analytics role; strong Power BI development including data modelling, DAX and Power Query; solid SQL skills and experience with relational databases; familiarity with ETL and data warehousing; excellent…
What you'll do: The role involves leading the end-to-end development of Power BI reporting solutions and dashboards to support operational and strategic decision-making. You will also establish reporting standards, provide user support, and ensure data…
What they ask for: Candidates should have solid experience in data manipulation, modeling, and Power BI visualization, along with the ability to lead workshops and engage with stakeholders. Strong technical expertise in data analysis and a commitment to best…
What you'll do: You will design, develop, and deploy enterprise-scale data platforms using the Microsoft Fabric ecosystem to support analytics and AI initiatives. This involves managing end-to-end data engineering workstreams, from ingestion and…
What they ask for: Candidates must have 6+ years of experience in data engineering with a strong focus on Azure and Microsoft Fabric implementations. Proficiency in SQL, Python, PySpark, and modern data architecture patterns like Medallion and Delta Lake is…
What you'll do: Design, develop, and optimize analytical data models and machine learning workflows to support business intelligence and predictive analytics. Collaborate with stakeholders to translate complex data findings into actionable business…
What they ask for: Requires a university degree in a quantitative field and at least 3 years of experience in data science or BI, specifically within the FX industry. Candidates must demonstrate proficiency in SQL, Python, and Power BI, along with strong…
What you'll do: You will lead the strategy, design, and enterprise-scale adoption of Agentic AI, hyperautomation, and process mining to optimize banking operations. You will collaborate cross-functionally to bridge technical solutions with operational…
What they ask for: Candidates should have 5+ years of experience in product management or operational transformation within a fintech or tech environment. You must demonstrate a track record of scaling AI or automation products and possess strong analytical…
What you'll do: You will lead the strategy, design, and implementation of Agentic AI and hyperautomation systems to optimize complex banking operations. This involves collaborating cross-functionally to redesign workflows, ensure regulatory compliance…
What they ask for: The role requires over 5 years of experience in product management or process engineering within a fintech or tech environment. Candidates must demonstrate a track record of scaling AI or automation solutions and possess strong technical…
What you'll do: The BI Data Engineer will design and maintain enterprise data warehouses and complex business intelligence solutions including data lakes and lakehouses. They are responsible for implementing ETL/ELT pipelines, ensuring data quality, and…
What they ask for: Candidates must have extensive knowledge of enterprise data warehouse design, dimensional modeling, and SQL. Proficiency in BI reporting tools, cloud architectures, and data governance practices is required, along with C1 level English…
What you'll do: You will own the analytical and machine learning lifecycle, from data exploration and feature engineering to developing and deploying production-level models. Additionally, you will collaborate with cross-functional teams to translate…
What they ask for: The ideal candidate has 3–5 years of professional experience in data science and strong proficiency in Python, machine learning, and statistical methods. A degree in Mathematics, Computer Science, or a related field is required, along with…