451 to 475 of 740 Remote Power BI Jobs

and experiments, translating findings into insights about customer behaviour and satisfaction drivers. What You’ll Bring 2–4 years of experience in product analytics, insights , or customer research (BI, product ops, or UX research backgrounds welcome) Hands-on experience with Heap Analytics (or similar tools like Amplitude, Mixpanel, or Google Analytics) Strong data literacy — you can interpret metrics … group forums Excellent communication and facilitation skills — you’re comfortable engaging customers directly and synthesising their input into actionable insights Experience building dashboards or visualisations (e.g., Looker, Tableau, Power BI) A curious, empathetic mindset — passionate about understanding customers and uncovering the “why” behind their behaviour The ability to translate complex findings into clear stories that influence More ❯

and experiments, translating findings into insights about customer behaviour and satisfaction drivers. What You’ll Bring 2–4 years of experience in product analytics, insights , or customer research (BI, product ops, or UX research backgrounds welcome) Hands-on experience with Heap Analytics (or similar tools like Amplitude, Mixpanel, or Google Analytics) Strong data literacy — you can interpret metrics … group forums Excellent communication and facilitation skills — you’re comfortable engaging customers directly and synthesising their input into actionable insights Experience building dashboards or visualisations (e.g., Looker, Tableau, Power BI) A curious, empathetic mindset — passionate about understanding customers and uncovering the “why” behind their behaviour The ability to translate complex findings into clear stories that influence More ❯

of data quality, data lineage, and metadata management principles. ETL/ELT Processes: Experience designing and implementing data integration workflows. Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Data Warehousing: Experience with dimensional modelling and data warehouse architecture patterns API Integration: Understanding of REST/SOAP APIs and data service architectures. More ❯

and engaging presentations. A talent for interpreting large data sets and communicating insights clearly and concisely. Ability to present findings defining problems, results, and actionable insights. Experience using Power BI or similar data-visualisation tools such as Tableau or Looker; ability to produce interactive dashboards is desirable but not essential. Apply if this position interests you More ❯

Data Factory, Azure Data Fabric, Azure Synapse Analytics, Azure SQL Database. Proficiency in Python, PySpark, SQL, or Scala. Data modelling and relational database expertise. Azure certifications highly desirable. Power BI experience a bonus (but not essential). Why join? Join a forward-thinking organisation that values innovation and collaboration. Hybrid working model (60% office/ More ❯

Data Factory, Azure Data Fabric, Azure Synapse Analytics, Azure SQL Database. Proficiency in Python, PySpark, SQL, or Scala. Data modelling and relational database expertise. Azure certifications highly desirable. Power BI experience a bonus (but not essential). Why join? Join a forward-thinking organisation that values innovation and collaboration. Hybrid working model (60% office/ More ❯

of data governance, data management, and metadata practises.Hands-on experience with data quality tooling (e.g., Microsoft Purview, Informatica, Collibra, Talend).Familiarity with cloud-based data architectures (Azure, Databricks, Power BI).Strong analytical and problem-solving skills, with experience in designing and implementing data quality KPIs and dashboards.Excellent stakeholder engagement and communication skills.Experience in regulated industries (e.g. More ❯

adaptable to business needs. Technical Expertise: Must have: C#, ASP.NET, MVC, .NET Core, Web APIs, SOA, MS SQL Server (T-SQL, SSIS, SSAS, SSRS), Informatica, Strimm, Tableau/Power BI, SharePoint, Data Modelling, AI tools for development/testing. Desirable: Experience integrating vendor applications and working with enterprise-scale systems. If this role sounds like your More ❯

teamwork abilities Preferred Qualifications Internship or academic project experience in AIML Knowledge of MLOps practices and tools eg Azure DevOps ML pipelines Experience with data visualization tools like Power BI or Matplotlib Understanding of REST APIs and integration techniques Skills Mandatory Skills: AI/GenAI Research Benefits/perks listed below may vary depending on the More ❯

to ensure smooth releases and integration. Key Skills Data Modelling Python & SQL AWS/Redshift 3–5+ years of experience in data engineering Nice to Have Airflow, Tableau, Power BI, Snowflake, Databricks Data governance/data quality tooling Degree preferred Atlassian/Jira, CI/CD, Terraform Why Join? Career Growth: Clear progression to Tech Lead. More ❯

years in software development within financial services or other complex enterprise environments is a must have Skilled in C#, .NET Core, Angular (v17+), SQL Server, Azure, microservices, and Power BI Experience in unit testing, test automation, and Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership More ❯

2G–5G, NB-IoT, LTE-M, backhaul, mobile core). Proven experience in line management and technical leadership. Proficiency in Python, R, SQL, and data visualisation tools (Tableau, Power BI). Hands-on experience with GCP and DBT for data transformation. Familiarity with agile development practices (Scrum preferred). Excellent communication and stakeholder management skills. More ❯

2G–5G, NB-IoT, LTE-M, backhaul, mobile core). Proven experience in line management and technical leadership. Proficiency in Python, R, SQL, and data visualisation tools (Tableau, Power BI). Hands-on experience with GCP and DBT for data transformation. Familiarity with agile development practices (Scrum preferred). Excellent communication and stakeholder management skills. More ❯

years in software development within financial services or other complex enterprise environments is a must have Skilled in C#, .NET Core, Angular (v17+), SQL Server, Azure, microservices, and Power BI Experience in unit testing, test automation, and Agile delivery Knowledge of compliance, regulatory reporting, and enterprise operational processes Proven experience delivering complex software solutions Strong leadership More ❯

transformation, analysis) Experience in financial services (lending) is advantageous but not a prerequisite. Proven ability to deliver insights and influence senior stakeholders Strong analytical and data visualisation skills (Power BI, Tableau, or similar) Understanding of growth channels, lead generation, or acquisition strategies is advantageous If you would like to register your interest in this position, send More ❯

Excel , and data-driven analysis techniques Collaborative working style with the ability to manage multiple stakeholders across business, risk, and technology teams Exposure to data tooling such as Power BI, Alteryx, or Collibra (desirable) Awareness of financial services control standards (FCA, PRA, BCBS 239, DORA) You’ll join a maturing data governance and control function helping More ❯

monitor operational and commercial KPIs Supporting strategic planning as the business expands across the UK SKILLS & EXPERIENCE REQUIRED Strong SQL and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability More ❯

monitor operational and commercial KPIs Supporting strategic planning as the business expands across the UK SKILLS & EXPERIENCE REQUIRED Strong SQL and Python skills Experience with data visualisation tools (Power BI preferred, but flexible) Proven background in analytics or data science, ideally in a commercial or operational context Exposure to predictive modelling, segmentation, or pricing analytics Ability More ❯

transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. More ❯

and analytical skills in relation to complicated data models A degree in relevant numerate or analytical subject Ability to communicate insights clearly and using visualisation tools such as Power BI Good organisational skills and strong attention to detail We love to see: Appreciation of the wider data science technology landscape Curiosity and willingness to learn new More ❯

and analytical skills in relation to complicated data models A degree in relevant numerate or analytical subject Ability to communicate insights clearly and using visualisation tools such as Power BI Good organisational skills and strong attention to detail We love to see: Appreciation of the wider data science technology landscape Curiosity and willingness to learn new More ❯

ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A More ❯

ll use 🌳 Data Science & Engineering: Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow), SQL, NoSQL, Spark, big data ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A More ❯

competitiveness Strong analytical and quantitative skills with proficiency in data analysis and financial modelling Advanced proficiency in Excel; experience with pricing software and data visualisation tools (e.g MS Power BI) is preferred Excellent communication skills, with the ability to convey complex information clearly and concisely We’re proud to be recognised as a Disability Confident Level More ❯

bring data together from diverse sources and prepare for analysis using cleaning and preparation techniques extensive practical experience of using innovative platforms for data visualization including R Shiny, Power BI and/or Tableau A degree or equivalent professional experience in subjects such as Statistics, Data/Computer Science, Economics, Public Policy, or the Sciences would More ❯