or online business context. Commercially minded, thinking about ways to increase revenue & profitability. Proficiency in data manipulation tools (Python, Pandas, Spark, SQL) and data visualization tools (Apache Superset, Tableau, Power BI, ggplot2) and MS Excel. Grasp of pricing strategies, market dynamics, and consumer behaviour in the online space is a more »
control tools such as Git/GitHub · Should be able to perform Exploratory Data Analysis and get actionable insights from the data, with impressive visualization (Power BI) · Experience in building large scale DW/BI systems for B2B SAAS companies · Experience with open-source tools like Apache Flink and AWS more »
SQL to extract data from internal databases and leverage Python for data acquisition from external sources (APIs/web scraping). Skilled in data visualization tools (e.g., Tableau) and creating clear, concise data summaries (e.g., PowerPoint) for diverse audiences, including senior leadership. Proficient in Python and familiar with machine learning more »
and stored procedures. • Experience with SSIS, SSRS, and SSAS. • Strong understanding of data warehousing concepts, ETL, and data modelling. • Familiarity with statistical analysis, data visualization, data mining, and data transformation. • Power BI certification is a plus. • Proven problem-solving skills and the ability to handle conflicts and troubleshoot issues. • Excellent more »
of Advanced Analytics Team education: Educate the organisation on data, data science, Analytics, AI and data to improve data literacy across the business Data visualisation: Creation of optimised business views in Power BI to enable the business to make decisions using our data science models Data stack enrichment: Feed the more »
Python, R, or SQL. * Experience with automation tools and technologies such as RPA, UIPath, Blue Prism, or WatsonX. * Strong understanding of data analysis and visualization tools such as Tableau, Power BI, or QlikView. * Familiarity with database management systems such as MySQL, Oracle, or SQL Server. * Excellent problem-solving skills and more »
and effectiveness. • Deep understanding of the AI development lifecycle • Proficiency in big data technologies like Hadoop, Spark, or similar frameworks. • Excellent skills in data visualization and interpretation. • Demonstrated history of successfully delivering high-quality, data-driven solutions, including deploying production-level machine learning models and executing complex business intelligence projects. more »
Experience with data warehouse technologies and data integration processes. • Knowledge of ETL (Extract, Transform, Load) processes and data integration. • Experience in data modelling, data visualization, and report development. • Strong analytical and problem-solving skills, with the ability to translate complex data into meaningful insights and actionable recommendations. • Proficiency in PowerApps more »
Proven working experience in implementing and optimizing data pipelines Hands-on experience with cloud platforms (preferably AWS) and event-driven architecture Experience in data visualization and UI Expertise in ensuring data quality and integrity through automated monitoring and testing Excellent communication skills, both written and verbal Self-motivated, proactive, and more »
support the design and maintenance of data and business intelligence applications and platforms that are internally created. You’ll develop and enhance dashboards and visualization applications that transform large, complex data into meaningful insights that management can use to produce informed business decisions. You’ll maintain data integrity for applications more »
Potters Bar, Hertfordshire, South East, United Kingdom
Canada Life Group (UK) Ltd (The)
and preparing data for analysis, ensuring it quality and integrity. Building predictive models and algorithms to solve specific business problems or optimise processes. • Data visualisation: Presenting findings and insights to stakeholders through clear and effective visualisations. Working with cross-functional teams to understand business needs and develop data-driven solutions. more »
Potters Bar, Hertfordshire, South East, United Kingdom
Canada Life Group (UK) Ltd (The)
and motivate the team. • Expertise in BI tools and technologies, such as Power BI, Tableau, or QlikView • Proficiency in SQL, data modelling, and data visualisation techniques • Excellent communication and interpersonal skills, with the ability to translate complex data into actionable insights for non-technical stakeholders. • Strategic thinking and problem-solving more »
Cypher Advantageous - Microsoft Azure cloud technologies e.g. Blob Storage, ADLS, Azure DevOps, Azure Logic Apps, Azure Functions Advantageous - Delta Lake storage layer Advantageous - Data visualisation tools e.g. PowerBI, Tableau, Thoughtspot, D3.js What can you expect from Mars? Work with over 130,000 diverse and talented Associates, all guided by the more »
MicroStrategy. 5. Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical BI solutions. 6. Familiarity with data visualization best practices and the ability to design compelling and intuitive dashboards and reports. 7. Knowledge of data integration techniques and tools (e.g., SSIS, Informatica) is more »
into experimentation and testing, and modeling. Basic qualifications: • 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience in Statistical Analysis packages such as R, SAS and more »
Experience with analytical or database querying software such as SQL and Python along with cloud technology such as AWS and Snowflake Experience with data visualisation tools such as Tableau and PowerBI The ability to identify wider business impacts or opportunities across key outputs and processes. Ability to work unaided on more »
years as a BI Data Analyst with a strong track record of designing and developing Power BI solutions and DAX. • Experience in data modelling, visualization and report development. • Experience of data warehouse technologies, data integration processes and database concepts. • Strong analytical and problem-solving skills, with the ability to translate more »
using statistical software (e.g. R and Python). The Data Scientist will use their technical skills to implement statistical analysis, develop simulation models, data visualisation, and automated reporting solutions. Previous experience of the NHS is desirable but not essential. However, you will be highly numerate, an excellent problem solver, a more »
knowledge in a narrower range of specialisms. Apply standards and best practices to present, communicate, and disseminate data appropriately, using a range of data visualisation tools and techniques. Review, advise, and support more junior members of the team to establish processes, standards, and templates for all internal and external work. more »
tech and methods. Desirable; Previously worked in an agile working environment, with a focus on iterative and collaborative project delivery. Have worked with data visualisation tools e.g. Tableau. Experience in model monitoring. (MLOPS experience would be desirable.) Have gained a master's or Ph.D. in a quantitative field such as more »
Data Centric solutions for some of the most energy-intensive businesses globally. Looking for someone with strong experience of data analysis, data modelling, data visualisation, reporting, and creating algorithms. The successful hire will be contributing to a highly complex and data centric platform build, generating insights and driving decision making more »
Edinburgh, Scotland, United Kingdom Hybrid / WFH Options
Change Digital – Digital & Tech Recruitment
skills Experience with Big Data technologies such as Hadoop, Spark, and Kafka Familiarity with cloud platforms (AWS, Azure, Google Cloud) Working knowledge of data visualisation tools (PowerBI, Tableau, Qlik Sense) Additional skills: Client-facing and communication skills Leadership and mentoring capabilities Understanding of cloud fundamentals (IaaS/PaaS/SaaS more »
and trends into experimentation and testing, and modelling. Basic qualifications years of analysing and interpreting data with Redshift, Oracle, NoSQL etc. experience with data visualization using Tableau, Quicksight, or similar tools with data modelling, warehousing and building ETL pipelines in Statistical Analysis packages such as R, SAS and Matlab using more »
. Solid understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, and reinforcement learning.Experience with data preprocessing, feature engineering, and data visualization techniques.Proficiency in working with large-scale datasets, SQL and NoSQL databases, and big data processing frameworks (e.g., Hadoop, Spark).Familiarity with software engineering best practices more »
and make real difference in supporting and saving lives. About the role As the successful Data Analyst your role revolves around crafting tailored data visualisation solutions for clinical clients. This entails conducting workshops to understand client requirements, designing and testing intuitive dashboards using tools like Tableau or Power BI, and more »
