a strong mix of business acumen, technical expertise, and excellent communication skills. Key Responsibilities: Client Engagement & Business Analysis Engage with business stakeholders to understand their reporting, analytics, and data visualization needs Conduct discovery workshops to gather requirements, define use cases, and assess data sources Translate business requirements into clear functional and technical specifications Provide recommendations on Power ON best practices More ❯
field such as Data Analytics, Mathematics, Statistics, or Computer Science, and/or proven experience in a similar role. Also, you’ll be able to showcase awareness of data visualisation techniques and experience with Business Intelligence technologies, preferably Microsoft Power BI is desirable, along with basic understanding of data management and ETL procedures, as well as knowledge of SQL. Strong More ❯
a strong mix of business acumen, technical expertise, and excellent communication skills. Key Responsibilities: Client Engagement & Business Analysis Engage with business stakeholders to understand their reporting, analytics, and data visualization needs Conduct discovery workshops to gather requirements, define use cases, and assess data sources Translate business requirements into clear functional and technical specifications Provide recommendations on Power ON best practices More ❯
experience - Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance. - Partner with the technology teams to groom, prioritize (through business impact) and execute the application roadmap, while managing the backlog - Retrieving and analyzing large sets of data More ❯
analytic capability in a financial institution Foundational understanding of credit risk concepts and the ability to translate complex risk data into meaningful insights for stakeholders Strong experience with data visualization tools and best practices (ideally using Tableau) An ability to manipulate data using SQL and/or Python Experience with low-code Extract Transform and Load (ETL) applications is preferrable More ❯
knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python), and from data visualisation (e.g. Tableau, PowerBI) to machine learning. Understanding data engineering solutions is a plus. Strong experience in MLOps, including model lifecycle management, CI/CD for ML, monitoring, and scalable deployment More ❯
draw meaningful conclusions. Strong presentation skills, including executive presence to deliver insights to senior executives. Ability to drive change and influence others cross-functionally without authority. Proficiency in data visualization tools (e.g., Tableau, Power BI) and advanced Microsoft Excel skills. Excellent communication and presentation skills, with the ability to convey complex information in a clear and concise manner. Strong project More ❯
attitude Exposure to IT and Product Development data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by More ❯
London, England, United Kingdom Hybrid / WFH Options
Workman LLP
within a team. You should be comfortable juggling multiple projects, prioritising tasks, and responding to challenges with creative, analytical solutions. You'll bring proficiency in SQL, Excel, and data visualisation tools such as Power BI or Tableau, with bonus points for experience in Python or R. A keen eye for detail, a passion for data, and an interest in the More ❯
Markets, Particularly Oil, Gas, and Commodities. Business Analysis Skills including requirements gathering, process mapping, and data analysis. Experience with SQL, C#.Net, Git, Python (Panda, Numpy, ML libraries), and data visualization tools such as Power BI or Tableau. Benefits & perks Competitive salary Vitality health insurance and dental cover 38 days of holiday (including bank holidays) Pension scheme Annual Bluecrest health checks More ❯
attitude Exposure to IT and Product Development data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by More ❯
a strong mix of business acumen, technical expertise, and excellent communication skills. Key Responsibilities: Client Engagement & Business Analysis Engage with business stakeholders to understand their reporting, analytics, and data visualization needs Conduct discovery workshops to gather requirements, define use cases, and assess data sources Translate business requirements into clear functional and technical specifications Provide recommendations on Power ON best practices More ❯
and data migration design and implementation Master data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team Members on a More ❯
London, England, United Kingdom Hybrid / WFH Options
Itv Plc
ability to run, analyse and provide performance ratings Comfortable presenting analysis across a range of formats (Google and Microsoft applications (i.e google slides, microsoft excel) and experience with data visualisation tools such as Tableau or Looker Studio Strong analytical skills, including a solid grasp of statistical concepts and techniques, with the ability to synthesise data from multiple sources to deliver More ❯
accounting, Finance, Economics, or Business-related field. Experience in an Analysis and Reporting role would be a plus. Thorough understanding in financial accounting. Proficiency with data analysis, reporting and visualization tools such as MS Excel, Power BI, and Python. Expert system knowledge of any existing ERPs (example: Oracle E1, SAP) and third-party enabling software is essential to perform this More ❯
in order operations, business analysis, or a similar role. Strong analytical skills with proficiency in Excel, SQL, and/or other reporting and data analysis tools. Understanding of data visualization tools like Looker, Power BI or Tableau is a plus. Experience with order management systems (OMS) and workflow automation tools. Ability to troubleshoot operational issues and identify opportunities for improvement. More ❯
between systems, to ensure robust high quality data is available in real-time. Streamlining reporting processes to deliver consistent and timely insights to stakeholders across the organisation. Implementing advanced visualisation tools to present complex data in an accessible, impactful manner. Collaboration and stakeholder engagement Partnering with commercial and operational teams across the Business Units to embed data-led decision-making More ❯
aggregating data Ability to analyse datasets and generate insights using Snowflake and/or Databricks analytical tools and features Practical knowledge of common data engineering and BI/data visualisation integrations such as dbt, Azure Data Factory, PowerBI and Sigma Experience using native functionality to deploy and interact with Large Language Models Ability to develop, test and deploy machine learning More ❯
aggregating data Ability to analyse datasets and generate insights using Snowflake and/or Databricks analytical tools and features Practical knowledge of common data engineering and BI/data visualisation integrations such as dbt, Azure Data Factory, PowerBI and Sigma Experience using native functionality to deploy and interact with Large Language Models Ability to develop, test and deploy machine learning More ❯
Go-To-Market strategy, building productivity and quota models according to strategic objectives. Build automated reports and dashboards that show trends and progress against business priorities. Collaborate with data visualization teams on producing actionable and accurate reporting that highlight business trends and inefficiencies. Seamlessly work with sales leaders to integrate KPI’s, Metrics that Matter, and analytical thinking into regular More ❯
London, England, United Kingdom Hybrid / WFH Options
Entain
data engineering roles Proficiency in SQL and Python programming for data manipulation and pipeline development Experience with Snowflake, BigQuery, Databricks, or equivalent cloud data warehousing platforms Familiarity with data visualization tools (e.g., PowerBI, Tableau) Experience with modern data pipeline tools such as DBT, Airflow, or Composer Understanding of data modeling concepts and best practices for analytics Familiarity with version control More ❯
Data Analytics: Proficient in sourcing, transforming, and analysing large datasets to generate actionable insights. Data Science & Modelling: Experience with predictive modelling, scenario planning, and statistical techniques using Python. Data Visualisation: Skilled in tools like Power BI, Tableau, or similar to tell compelling stories through data. Strategic Thinking: Able to structure problems, generate hypotheses, and deliver robust, data-backed conclusions. Communication More ❯
Data Analytics: Proficient in sourcing, transforming, and analysing large datasets to generate actionable insights. Data Science & Modelling: Experience with predictive modelling, scenario planning, and statistical techniques using Python. Data Visualisation: Skilled in tools like Power BI, Tableau, or similar to tell compelling stories through data. Strategic Thinking: Able to structure problems, generate hypotheses, and deliver robust, data-backed conclusions. Communication More ❯
Data Analytics: Proficient in sourcing, transforming, and analysing large datasets to generate actionable insights. Data Science & Modelling: Experience with predictive modelling, scenario planning, and statistical techniques using Python. Data Visualisation: Skilled in tools like Power BI, Tableau, or similar to tell compelling stories through data. Strategic Thinking: Able to structure problems, generate hypotheses, and deliver robust, data-backed conclusions. Communication More ❯
to advanced knowledge of Alteryx. Intermediate knowledge of SQL (ability to read, write and debug SQL queries), Excel and PowerPoint Knowledge and experience with alternative mainstream analytical and data visualization tools such as Qlikview/QlikSense and Power BI. Capacity for independent, critical thinking and problem solving. Strong written and verbal communication skills. Excellent analytical and problem-solving skills, with More ❯