201 to 225 of 1,266 Permanent R Jobs

to Collibra or similar data governance tools is highly advantageous. Desirable Skills Knowledge of data visualisation tools such as Power BI , Tableau , or Qlik . Exposure to SQL, Python, R, or other data analysis/engineering tools. Awareness of data-related compliance trends and emerging regulatory frameworks. More ❯

to Collibra or similar data governance tools is highly advantageous. Desirable Skills Knowledge of data visualisation tools such as Power BI , Tableau , or Qlik . Exposure to SQL, Python, R, or other data analysis/engineering tools. Awareness of data-related compliance trends and emerging regulatory frameworks. More ❯

to Collibra or similar data governance tools is highly advantageous. Desirable Skills Knowledge of data visualisation tools such as Power BI , Tableau , or Qlik . Exposure to SQL, Python, R, or other data analysis/engineering tools. Awareness of data-related compliance trends and emerging regulatory frameworks. More ❯

management and analytical skills, especially with large datasets. Good understanding of Office365 tools (Excel, PowerPoint, Word, SharePoint, Teams). Knowledge of model-driven apps and JavaScript. Proficiency in SQL, R, Python, GIS, statistics, or databases. Understanding of cloud services like Azure or AWS. Why SZC? Contribute to a major UK infrastructure project, shaping the future of energy in a supportive More ❯

management and analytical skills, especially with large datasets. Good understanding of Office365 tools (Excel, PowerPoint, Word, SharePoint, Teams). Knowledge of model-driven apps and JavaScript. Proficiency in SQL, R, Python, GIS, statistics, or databases. Understanding of cloud services like Azure or AWS. Why SZC? Contribute to a major UK infrastructure project, shaping the future of energy in a supportive More ❯

management and analytical skills, especially with large datasets. Good understanding of Office365 tools (Excel, PowerPoint, Word, SharePoint, Teams). Knowledge of model-driven apps and JavaScript. Proficiency in SQL, R, Python, GIS, statistics, or databases. Understanding of cloud services like Azure or AWS. Why SZC? Contribute to a major UK infrastructure project, shaping the future of energy in a supportive More ❯

all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks, Dataiku More ❯

Part time or full time: Full Time Flexibility option: High Co-Location (3-4 days on-site) Skills: Data Analytics Data Science Data Visualization GitLab Jupyter Notebooks Python and R Studio More ❯

to communicate complex technical findings to a variety of audiences. Candidate should have the ability to demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills.Requirements for this position shall include: Bachelor's degree or higher in related field of study or equivalent experience Minimum of four More ❯

following areas: statistics, data science, physics, computer science or social sciences Ideally the Analyst will be experienced in the use of google marketing cloud tools, SQL and statistical software (R, python, BigQuery) Advanced excel skills and Data visualisation in Tableau or Locker Studio (preferred) Strong conceptual, communication (written, verbal, presentation) and collaboration skills Proven ability to plan, develop, and meet More ❯

Part time or full time: Full Time • Flexibility option: High Co-Location (3-4 days on-site) ,Skills: • Data Analytics • Data Science • Data Visualization • GitLab • Jupyter Notebooks • Python and R Studio More ❯

quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness More ❯

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 Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as More ❯

position if you have: Advanced SQL skills with strong experience using relational databases. Hands-on experience with BigQuery or a similar large-scale analytics platform. Proficiency in Python or R, including libraries like Pandas. Experience working with BI tools such as Looker, Tableau, Power BI, or Mode. Confidence working in Jupyter or similar notebook environments. A solid grasp of ETL More ❯

and Teams. Experience with data warehousing, process automation, and machine learning tools and techniques. Familiarity with model-driven apps and related technologies (e.g. JavaScript). Knowledge of SQL, Python, R, GIS packages, statistics, and cloud platforms such as Azure or AWS. Strong written and verbal communication skills, with a highly collaborative, customer-focused approach. Quick learner with the ability to More ❯

context Agile and Scrum methodologies knowledge. Fluent in French & English Technical Skills: Strong knowledge of Big Data architecture, structured and non-structured databases. Proficiency in data analysis tools (Python, R, SQL, etc.) and GCP. Expertise in data governance and implementing data processes. Leadership & Management Skills : Good project management and cross-functional team management skills. Ability to communicate clearly and effectively More ❯

data profiling, sourcing, and cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Company Description Version 1 has celebrated over 28 years in Technology Services and continues to be trusted by global brands to deliver solutions that drive customer success. Version More ❯

Oracle, NoSQL etc. - 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 Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯

quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to present complex data insights to non-technical stakeholders. • Willingness More ❯

quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to present complex data insights to non-technical stakeholders. • Willingness More ❯

quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights to non-technical stakeholders. Willingness More ❯

Value). Interpret data and technical information to support business decisions. What you will need to be successful Numerical: Proficient in advanced data analysis and visualisation using SQL, Python, R, Excel, and Looker; experienced with additional BI and analytical tools as required. Ability to present data clearly and accurately in presentations to internal and external stakeholders (Google Slides) High attention More ❯

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 Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling PREFERRED QUALIFICATIONS - Experience with AWS solutions More ❯

years of prior relevant experience. Proven experience as a Data Scientist, with a focus on complex data environments. Experience with data science tools and languages, such as Python, R, and Scala, in various data science environments. Experience with data visualization tools (e.g., Tableau, MS PowerBI) to deliver data analysis solutions and visualizations. Proficiency in data manipulation and analysis. US Citizenship More ❯

skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams. Preferred qualifications: Experience with data-specific programming languages/packages such as R or Python Pandas. Experience with AWS solutions such as EC2, DynamoDB, S3, and EMR. Knowledge of machine learning techniques and concepts. Our inclusive culture empowers Amazonians to deliver the best More ❯