201 to 225 of 3,628 Visualisation Jobs

subject with skills in data manipulation and analysis. Programming experience in data-related languages including Python. Experience with data preparation and data quality. Highly desired skills and experience: Data Visualization tools such as Microsoft PowerBI. Microsoft Office applications. Microsoft Azure environment. Personal attributes: A passion for data and creating insights to enhance team success. Strong analytical and problem-solving skills. More ❯

critical-thinking skills. Strong leadership, communication, and collaboration abilities. Preferred Qualifications: Experience in data warehouse (SAP BW, Teradata, Hadoop, Oracle etc) migration to cloud data platforms. Familiarity with data visualization and BI tools (e.g., Tableau, Power BI). Experience with cloud-based data architectures and hybrid data environments. Certifications in data architecture, data warehousing, or related areas. What We Offer More ❯

data pipelines. Manage relational databases, ensuring data can be extracted, transformed, updated, and exported efficiently. Write complex T-SQL queries, stored procedures, and functions to support data processes. Data Visualisation and Reporting Develop insightful and interactive dashboards using Power BI and DAX . Translate business requirements into visual analytics for various departments. Monitor and enhance report performance and usability. Automation More ❯

Version Control: Using Git and platforms like GitHub, GitLab, or Bitbucket. Data Governance and Security: Data Quality: Ensuring accuracy, completeness, and consistency applying validation (e.g. Soda). Analytics and Visualization: Analytics Tools: Basic knowledge of tools like Tableau, Power BI, or Looker. Soft Skills Collaboration: Working with data scientists, business stakeholders, and product owners. Problem-Solving: Able to identify and More ❯

Machine Learning and statistical modelling techniques Strong programming skills in R and/or Python Experience applying advanced analytics and Machine Learning to solve business problems Experience with data visualization software/libraries (Tableau, PowerBI) Comfort working both on a team and autonomously Strong written and verbal communication skills, ability to simply and concisely explain complex analytical topics Entrepreneurial spirit More ❯

Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field - Experience using very large datasets - Experience with reporting and Data Visualization tools such as Quick Sight/Tableau/Power BI or other BI packages Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have More ❯

/UX and the ability to advocate on behalf of different teams or user groups, working with project managers and system developers. High proficiency in building dashboards with data visualisation software, experience with Tableau An understanding of working across multiple data universes and writing queries using SQL Storytelling through data, business planning and forecasting. Mandatory Requirements: Successful consultants will be More ❯

or a related field. Proven experience as a lead data analyst or in a similar role. Strong knowledge of data analysis tools and techniques. Proficiency in Excel, and data visualization tools (e.g.Power BI, MS POL). Excellent analytical and problem-solving skills. Strong communication skills, with the ability to present complex data in a clear and concise manner. Experience in More ❯

Business, Data Science, Statistics, Economics, Mathematics, Computer Science, or related fields. Certifications or a Master’s degree (e.g., MBA, MS in Business Analytics) are a plus. Tools: Experience with visualization and analysis tools like Tableau, Power BI, SQL, Excel, PowerPoint. #J-18808-Ljbffr More ❯

sectors. Degree: Degree in Business, Data Science, Statistics, Economics, Mathematics, Computer Science, or related fields; a Master’s or certification (e.g., MBA, MS) is a plus. Tools: Experience with visualization and analysis tools such as Tableau, Power BI, SQL, Excel, PowerPoint, etc. #J-18808-Ljbffr More ❯

survey feedback, and operational data. Designing and interrogating databases; performing data transformations; liaising with the business to improve workflows. Supporting the business and stakeholders in designing, building, and maintaining visualisation dashboards and reports, managing stakeholder expectations. Analyzing data to derive insights and support decision-making processes. Documenting ETL processes, data models, and report specifications for transparency and knowledge sharing. Monitoring More ❯

Business, or a related field Proficiency in Microsoft Excel for data manipulation and organization Basic understanding of SQL, or a strong interest in developing SQL skills Familiarity with data visualization tools such as Power BI or Tableau (preferred, not required) Excellent attention to detail and a problem-solving mindset Strong communication skills, with the ability to convey insights clearly A More ❯

Communicate complex technical concepts simply and clearly to both technical and non-technical stakeholders What We’re Looking For 4+ years’ experience across data engineering, data science, and data visualisation Proficiency in Python, SQL, R, and familiarity with relational databases (SQL Server, Oracle) Experience with cloud platforms (Azure or AWS), data formats (CSV, JSON, XML), and deployment tools (ADF, Azure More ❯

IT development processes and delivery lifecycles; development methodology; release strategy and configuration management; development tools, and applications across full project lifecycles Experience with Power BI or a similar data visualisation tool is desirable Why Just? We are committed to building a more sustainable business and have publicly committed to reduce our scope 3 emissions to Net Zero by 2050 and More ❯

in production environments. Strong skills in data wrangling using Python, SQL, and ADF . Proficiency in CI/CD, DevOps/MLOps , and version control systems. Familiarity with data visualization and reporting tools, ideally PowerBI. Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders. Experience in the pensions or similar regulated financial services More ❯

driving growth in traffic and ROI, preferably in a fast-growing large catalogue. Analytical Expertise: Strong proficiency in web analytics tools (e.g., Google Analytics (GA4), Adobe Analytics) and data visualization tools (e.g., Tableau, Power BI). Marketing Knowledge: In-depth understanding of digital marketing channels, including PPC, SEO, social media, email campaigns, and conversion rate optimization. Technical Proficiency: Familiarity with More ❯

analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards and reports using Power BI, Plotly/Dash, or other modern visualisation tools. Strong understanding of data governance, quality, and documentation best practices. Strong ability to debug and optimize slow or failing data pipelines and queries. Knowledge of data privacy and security More ❯

analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards and reports using Power BI, Plotly/Dash, or other modern visualisation tools. Strong understanding of data governance, quality, and documentation best practices. Strong ability to debug and optimize slow or failing data pipelines and queries. Knowledge of data privacy and security More ❯

trends or patterns. Through this interpretation process, data analysts can produce actionable insights to help organizations achieve their goals. He also supports business analyst with advanced statistical models. Data visualization: The data analyst turns their insights into visualizations that make abstract findings real for stakeholders. KPIs definition and implementation: The data analyst defines the performance KPIs with respect to the More ❯

and libraries such as Pandas, NumPy, and Scikit-learn. • Experience with machine learning frameworks like TensorFlow or PyTorch. • Strong SQL skills and experience with relational databases. • Proficiency in data visualization tools such as Power BI, Matplotlib, Seaborn, or Plotly. • Experience with cloud platforms, especially AWS (e.g., S3, EC2, SageMaker). • Familiarity with tools like Jupyter, Snowflake, Docker, and Atlassian suite 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 ❯

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 ❯

in multi-cloud environments Familiarity with DevOps, Infrastructure-as-Code (e.g., Terraform), and CI/CD pipelines Interest or experience with machine learning or AI technologies Experience with data visualization tools such as Power BI or Looker Wir bieten While we're one company, each location has unique aspects and benefits. Here's a glimpse of what to expect: Flexible More ❯

on objectives, and ensure holistic business understanding. Support the finance team with dotted line reporting and data sharing as required. Continuous Improvement: Identify and implement improvements to reporting, data visualization, and analytical processes. Stay abreast of industry trends and best practices in commercial analytics and data-driven retail management. Qualifications and Key Skills: Experience: Proven experience in commercial analysis within More ❯

in multi-cloud environments Familiarity with DevOps, Infrastructure-as-Code (e.g., Terraform), and CI/CD pipelines Interest or experience with machine learning or AI technologies Experience with data visualization tools such as Power BI or Looker Wir bieten While we're one company, each location has unique aspects and benefits. Here's a glimpse of what to expect: Flexible More ❯