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 »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and more »
Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial more »
Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial 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 »
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 »
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 »
Learning for model development and deployment. Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Strong proficiency in programming languages such as Python, R, and SQL, crucial 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 »
Experience designing and producing metrics, KPIs, and data visualizations. Experience creating interactive metrics dashboards using Power BI, Tableau, Tableau Prep Builder, or other data visualization tools. Experience generating reports, charts, and graphs. Experience with maintaining; integrating; preparing; and extracting, transforming, and loading (ETL) complex and/or large datasets for 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 »
principles. Tools across other data management capabilities – data engineering, data governance, data quality, metadata management and master data management Designing and building out data visualisation solutions based on technology such as: Tableau, AWS QuickSight, Looker, ThoughtSpot A strong people leader, coach and mentor with exceptional communication skills, delivery focused with more »
data. Ability to analyse benchmarking data to identify variations in activity and quality of health and care services. Experience using programming languages and data visualisation tools such as Microsoft Power BI/SQL/R or similar or willingness to acquire such skills rapidly. Ability to automate complex reporting to more »
/Analytics, Databricks, Synapse, Purview, Fabric etc.) Desirable Knowledge of cloud technologies and concepts Knowledge of NHS Information requirements, datasets, data dictionary. Knowledge of visualisation & dashboard design best practices. Knowledge of data architecture in a healthcare environment. An excellent knowledge of the principles of data warehousing design and architecture. Understanding 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 »
