551 to 575 of 2,970 Remote Power BI Jobs

and the confidence to communicate its technical implications effectively. Desire to learn and take on projects that may require new processes or approaches. Experience with one or more BI tools (Looker Studio, Tableau, Power BI etc). Previous experience as a Digital or Marketing analyst or understanding of web data (Google Analytics experience would More ❯

ability to apply this to design of data solutions. ·Experience of supporting and enabling AI technologies. ·Experience implementing data flows to connect operational systems, data for analytics and BI systems. ·Experience documenting source-to-target mappings. ·Experience in assessing and analysing technical issues or problems in order to identify and implement the appropriate solution. ·Knowledge and experience of … manage their expectations and influence at all levels on the use of data and insight. Desirable Knowledge and understanding of the health and care sectors. Experience of using Power BI and creating reports/analysing data. Additional Requirements: Candidates must have an existing and future right to live and work in the UK. Sponsorship at any More ❯

mundane. As a fast-growing digital delivery service, we always stay ahead of the curve by keeping up with ever-evolving tech practices. Whether that’s unlocking the power of AI, coding for the future of the planet or everything in-between. In a world where tech is always changing, so are we. Why Join KPMG Curve as … Azure, GCP) Experience working with cloud platforms and in particular architecting with native cloud resources relevant to data problems Knowledge of data visualisation tools such as Tableau or Power BI Interest in building Machine learning and Data science applications Ability to use wide variety of open-source technologies Knowledge and experience using at least one Data More ❯

in a clear and compelling manner to stakeholders. What We’re Looking For Strong analytical skills with experience in SQL & Python. Experience working with business intelligence platforms (e.g., Power BI, Tableau). Ability to translate data into meaningful insights that drive strategic decisions. Excellent communication skills, with the ability to engage stakeholders at all levels. Experience More ❯

Proven experience (5+ years) in a data science role, preferably in retail or e-commerce sectors. Strong proficiency in Python or R, SQL, and data visualization tools (e.g., Power BI, Tableau). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in machine learning, statistical modeling, and predictive analytics. Excellent communication and More ❯

/ELT processes, and APIs. Knowledge of GDPR, data ethics, and governance practices. Strong understanding of data quality frameworks, data contracts, and lineage. Proficient in using analytics and BI tools (e.g., Tableau, Power BI, Looker) to drive product decisions. Analytical mindset and ability to prioritise based on value derived from data insights. You possess More ❯

Warehouse methodologies. Experience working across Azure Data Services including Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Cosmos DB, Azure Data Factory, Azure Blob storage and Power BI. Strong experience in SQL. Good understanding of Azure infrastructure (Subscriptions/Resource Groups, Virtual Networks, Kubernetes, Security options, etc). Good understanding of modern reporting platforms (dashboarding, advanced More ❯

in C#/.NET development. Proven experience with Spring Boot ; exposure to Spring Batch is a plus. Strong knowledge of SQL and experience with reporting tools like SSRS, Power BI, SSAS, MS SQL Server, and PostgreSQL . Proficiency in data modelling , data frameworks , and ETL tools such as Informatica and SSIS . Experience designing and building More ❯

in C#/.NET development. Proven experience with Spring Boot ; exposure to Spring Batch is a plus. Strong knowledge of SQL and experience with reporting tools like SSRS, Power BI, SSAS, MS SQL Server, and PostgreSQL . Proficiency in data modelling , data frameworks , and ETL tools such as Informatica and SSIS . Experience designing and building More ❯

through data storytelling. Key Responsibilities: Define analytical approaches to solve business challenges Explore and work with relevant data sources Create insight-led storytelling using tools like Tableau or Power BI Analyse campaign performance (MMM, attribution, ROI) Support commercial decisions via segmentation and customer insights What We’re Looking For: Strong SQL and data visualisation experience 3+ More ❯

visualisations and dashboards Skills Extensive experience with SQL Deep experience with handling data in Python Experience with (or willingness to learn!) dimensional modelling and dbt Familiarity with a BI tool such as Power BI or Looker Great communication skills A creative thinker with a keen attention to detail Interview process Interviewing is a two More ❯

in IT, Computer Science, or a related field. Microsoft Certified: Azure Data Engineer Associate Language Skills : Fluency in Dutch and English is mandatory. French is a plus. Knowledge of PowerBI is a plus. The key competences we are looking for Analytical mindset with attention to detail. Pragmatic and customer-oriented approach to problem-solving. Strong collaboration and communication skills. Enthusiasm More ❯

Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and data quality frameworks. Proficiency with BI/reporting tools such as Looker or PowerBI. Excellent communication and stakeholder management skills. Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure More ❯

Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and data quality frameworks. Proficiency with BI/reporting tools such as Looker or PowerBI. Excellent communication and stakeholder management skills. Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure More ❯

services or regulatory change projects (e.g., Basel III, IFRS9, MiFID II). Strong SQL skills and knowledge of data warehousing and analytics tools. Proficiency in tools like Excel, Power BI, Tableau, or Alteryx. Agile and Waterfall delivery experience. Certifications: CBAP, PMI-PBA, or similar (optional but beneficial). LA International is a HMG approved ICT Recruitment More ❯

clustering, and time series forecasting. Data Pipelines : Experience in building and maintaining efficient data pipelines to support data science initiatives. Data Visualization : Expertise in using visualization tools (e.g., Power BI, Tableau, or matplotlib) to present complex data insights. End-to-End Project Delivery : Proven experience taking a data science project from concept to deployment, including model More ❯

clustering, and time series forecasting. Data Pipelines : Experience in building and maintaining efficient data pipelines to support data science initiatives. Data Visualization : Expertise in using visualization tools (e.g., Power BI, Tableau, or matplotlib) to present complex data insights. End-to-End Project Delivery : Proven experience taking a data science project from concept to deployment, including model More ❯

Dataform, DataProc, and Pub/Sub. Strong programming experience with Python, PySpark, and SQL. Hands-on experience with data modelling, ETL processes, and data quality frameworks. Proficiency with BI/reporting tools such as Looker or PowerBI. Excellent communication and stakeholder management skills. Google Cloud Professional certifications. Experience in alternative cloud data platforms such as Snowflake, Databricks, Azure More ❯

or in a similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection More ❯

or in a similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection More ❯

for large-scale data transformations and analytics. Working knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity with role More ❯

new data team at our fictional e-commerce company, "Prism." From day one, you'll build the experience that leading employers require while learning the technical (Excel, SQL, Power BI, Python), professional, and business skills that are needed for a career in data. You will be delivering real projects using our data warehouse, which has over More ❯

business. Excellent time management, communication, and organisational skills. Strong attention to detail. Proven track record of delivering analysis of large volumes of data using MS Excel. Experience of Power BI desirable but not essential. Ability to follow and improve processes. Ability to work independently and own deadlines. The successful candidate will receive: Competitive salary, based on More ❯

analytics-driven, client-focused solutions. Experience in storytelling with data, presenting to external clients and internal stakeholders. Proficiency in Excel, SQL, and PowerPoint, with data visualization expertise (e.g., Power BI). Creativity and proactivity in problem-solving, ensuring high ROI for clients. Strong self-management and communication skills to engage with technical and non-technical leaders. More ❯

office twice a week (hybrid model). Minimum of 4 years' experience in data analysis roles. Proficiency in handling large datasets using tools such as SQL , Python , and Power BI . Strong analytical mindset and ability to investigate and explain root causes. Excellent communication skills -both written and verbal-to synthesize and present data insights effectively. More ❯