351 to 375 of 3,622 Visualisation Jobs

understanding of data management principles, data warehousing, data modelling, and schema design. Technical Skills: Proficiency in SQL. Strong experience with Google Cloud Platform (GCP) and BigQuery. Experience with data visualization tools, particularly Power BI. Strong understanding of API integrations. Solid understanding of data privacy regulations (GDPR and other data capture regulations). Stakeholder Management: Proven ability to effectively manage and More ❯

understanding of data management principles, data warehousing, data modelling, and schema design. Technical Skills: Proficiency in SQL. Strong experience with Google Cloud Platform (GCP) and BigQuery. Experience with data visualization tools, particularly Power BI. Strong understanding of API integrations. Solid understanding of data privacy regulations (GDPR and other data capture regulations). Stakeholder Management: Proven ability to effectively manage and More ❯

ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to More ❯

be expected to spot opportunities and take the lead. It would be a bonus if you've worked in Operations or have experience with personal loans. Familiarity with data visualisation tools like Power BI, Tableau, or Quicksight is also a nice-to-have, but not a requirement. What you'll get in return In addition to a competitive salary, employees More ❯

be expected to spot opportunities and take the lead. It would be a bonus if you've worked in Operations or have experience with personal loans. Familiarity with data visualisation tools like Power BI, Tableau, or Quicksight is also a nice-to-have, but not a requirement. What you'll get in return In addition to a competitive salary, employees More ❯

complex, and sometimes messy datasets Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both technical and non-technical stakeholders Experience working collaboratively with cross More ❯

with both local and global business needs. Key Responsibilities Provide day-to-day leadership, guidance and coaching to a growing team of data analysts, data engineers, and a data visualisation specialist Oversee project delivery across data pipeline development, analytics, and dashboard/report building in Power BI Work closely with the VP (based in NY) to translate strategic objectives into More ❯

understanding how teams manage data infrastructure in agile, collaborative ways Learning how to work effectively in fast-paced, agile environments as part of multidisciplinary teams Building confidence in using visualisation tools (such as Power BI or QuickSight ) to communicate insights from data By the end of the programme, you'll have the technical skills, commercial awareness, and collaborative mindset needed More ❯

in, understanding and use of generative AI to speed up learning, development and implementation of systems, while understanding and navigating its limitations Advanced understanding of business intelligence and data visualisation tools (incl. PowerBI) Solid grasp of database design, SQL optimisation and API integration Excellent problem-solving abilities and a proactive mindset, with the capacity to work independently and manage projects More ❯

machine learning algorithms Proficiency in programming languages such as Python, R, and SQL Familiarity with database management systems, experience of cloud-based systems such as Snowflake Expertise in data visualisation tools such as Tableau or Power BI Proven track record of developing and implementing machine learning models in a business context Strong analytical and problem-solving skills with meticulous attention More ❯

have strong data manipulation and problem-solving skills. Must have strong technical skills in areas such as statistics, programming languages like R or Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation Have good communication skills and problem-solving ability. Security Clearance Active Secret clearance is required. More About B&A: Notable Clients B&A has grown More ❯

on driving impact Strong growth mindset and sense of ownership. Innate passion and curiosity Experience with a scientific computing language (such as R or Python) Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data More ❯

on driving impact Strong growth mindset and sense of ownership. Innate passion and curiosity Experience with a scientific computing language (such as R or Python) Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data More ❯

Science, Finance, or a relevant technical field. Masters degree or above is a plus * 2+ years proficiency in data analysis tools including SQL and Python * Strong knowledge of data visualization tools such as Looker or Tableau * Exceptional problem-solving skills and attention to detail * Team player with good communication skills, with the ability to explain technical concepts clearly to different More ❯

to learn and master new 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 in a quantitative field such as Computer Science, Statistics or related disciplines. Recruitment More ❯

Scoop, etc. Experience working on use cases for different file formats and database management systems including NOSQL databases Conceptual understanding of data management including governance processes and platforms, data visualisation, transformation in data-warehouses or data-lakes. Ability to apply analytical and innovative thought processes in creating Data Engineering market-ready capabilities Great to have: Cloud Certification is a plus More ❯

environment to evaluate risks for the assigned audit engagements and devise effective and efficient strategies to test key control. Strong proficiency in Python, or and SQL. Experience with data visualisation tools such as Tableau, Power BI or other. Experience at using analytics tools such as Alteryx. Experience with Power Automate or Cloud-based platforms (e.g. AWS, GCP, Azure, Snowflake) a More ❯

guiding team delivery Degree in a Relevant Field - (e.g., Data Science, Computer Science, Business Analytics, Engineering, or a related discipline) or equivalent experience Preferred Skills and Qualifications : Data Analysis & Visualisation - Strong experience with tools like Power BI, Tableau, or similar for creating insightful reports and dashboards SQL & Databases - Proficiency in writing SQL queries to extract and manipulate data from relational More ❯

insights. • Proficiency in data analysis techniques, trend analysis, and performance monitoring. • Excellent communication skills, with the ability to engage and influence stakeholders at all levels. • Proficiency in using data visualisation and process analysis tools such as Power BI, Visio, or similar platforms. • Advanced Excel skills Desirable: • Prior experience in payments, collections, or any financial analytics is highly desirable. • Experience with More ❯

of a Working Group. Minimum Criteria Good inter-personal skills and experience of working in a team Experience in using Artificial Intelligence to analyse information Experience in using data visualisation tools (one or more of R Shiny, Streamlit, Power BI, Tableau) Experience in a role that uses programming languages (one or more of Python, R, SQL) to draw insights from More ❯

knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity with role or attribute-based access control frameworks. Other: Must hold an Active DOD TS/ More ❯

Access Management: AWS IAM, Azure Active Directory. Data Governance Tools: AWS Lake Formation, Azure Purview. Data Security Tools: AWS Key Management Service (KMS), Azure Key Vault. Data Analytics & BI: Visualization Tools: Tableau, Power BI, Looker, and Grafana. Analytics Services: AWS Athena, Amazon QuickSight, Azure Stream Analytics. Development & Collaboration Tools: Version Control: Git (and platforms like GitHub, GitLab). CI/ More ❯

focus on user-centered systems-thinking, consuming the multitude of incoming information in a humanitarian context, macro-analyzing data, synthesizing and reflecting it in a usable format, including data visualization, for response and WV executive leadership. The Response IM manager is responsible for thought leadership regarding information management that works in a variety of settings, including multiple countries and for More ❯

knowledge of data governance platforms (e.g., Collibra) and cloud-based analytics solutions (e.g., Databricks). Hands-on experience with modern BI tools (e.g., Qlik, Power BI, Tableau) for data visualization and insight generation. Awareness of data access control best practices (e.g., Immuta) and familiarity with role or attribute-based access control frameworks. Other: Must hold an Active DOD Top Secret More ❯

Technical Capabilities Strong data manipulation and analysis skills. Programming using Python and SQL (additional languages are a benefit). Dashboarding using Tableau and/or Power BI and data visualisation using common data science packages (Matplotlib, seaborn, etc.) Understanding of version control (preferably through Git). Experience in contributing to and improving technical playbooks. Solid knowledge of statistical methods and More ❯