1 to 25 of 1,395 Permanent R Jobs

a fast-paced environment. 7. Proficiency in data analysis tools, such as Excel, SQL, Tableau, or Power BI. Nice to Have: 1. Experience with programming languages, such as Python, R, or Julia. 2. Knowledge of machine learning algorithms and statistical modeling. 3. Familiarity with cloud-based technologies, such as AWS or Azure. 4. Experience with data visualization tools, such as More ❯

preferably within a DoD or government contracting environment. Strong understanding of data warehousing concepts, data modeling techniques, and data mining principles. Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., Pandas, Scikit-learn, TensorFlow). Experience with data visualization tools such as Tableau or Power BI. Familiarity with Agile methodologies and MBSE principles More ❯

Solution Development: •Design, develop, test, and deploy end-to-end Business Intelligence solutions using Alteryx for data preparation, SQL for data transformation and storage, Tableau for data visualization, and R/Python for advanced analytics. •Design, implement, and maintain ETL pipelines using Alteryx to extract data from diverse source systems (e.g., relational databases, APIs, flat files), transform it according to … optimization. •SQL Development Skills: Mastery of SQL, including the ability to write complex queries, stored procedures, views and perform query optimization. •Programming/Statistical Analysis Skills: Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality … PREFFERED QUALIFICATIONS •Minimum 1+ years of experience supporting a Financial Operations function •Experience in advanced data analytics, statistical modeling, and predictive analytics using tools such as Alteryx, Python, or R; experience with machine learning algorithms and techniques is a plus. •Experience in building and maintaining APIs for data integration and delivery. •Experience with data warehouse platforms such as Snowflake a More ❯

at least 3 years working in a research-focused environment. Advanced knowledge of machine learning algorithms, deep learning frameworks, and statistical modeling. Proficiency in programming languages such as Python, R, Julia, or MATLAB for developing and testing models. Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI) to present insights effectively. Strong understanding of big data technologies (e.g. More ❯

unsupervised learning, with a strong focus on Natural Language Processing (NLP) for unstructured data. 5+ years of proficiency in at least one analytical/statistical programming language (e.g., Python, R, Scala, Closure). 2+ years of experience manipulating and processing unstructured data from various platforms. 2+ years of experience using data visualization tools such as Power BI, Tableau, Elastic X More ❯

Science, Statistics, or a related quantitative field. 5+ years of experience in a BI or advanced analytics role, preferably in a client-facing environment. Expert-level proficiency in SQL, R or Python, and BI tools (e.g., Power BI, Tableau). Strong understanding of statistical concepts and their practical applications. Demonstrated experience in managing large-scale data projects and implementing BI More ❯

amounts of DEA data to discover hidden information by applying modern statistical and ML/AI techniques. The main scripting languages used on this program are Python and some 'R'. The databases are MS SQL Server and Elastic Search is used against the enterprise data warehouses with Kibana, Tableau or other BI and Visualization tools. This is a mature … control Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5+ years' of professional experience in data science and analysis 5+ years' Python, "R" or other scripting languages 2+ years' database experience ML practice - using scikit learn, tensorflow, or pytorch and perform DEA (Data exploration Analysis), clean data, model selection, feature selection/tuning … friendly Preferred Qualifications: Graduate degree in a quantitative social science or a STEM field highly desired 10+ years' of professional experience in data science and analysis 10+ years' Python, "R" or other scripting languages 5+ years' of relational database experience 5+ years of non-relational/big data experience Experience or knowledge of ELK may be helpful Experience with common More ❯

with proven strong commercial acumen It's great if you have: Experience in digital or social media marketing Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis. 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 More ❯

but not required. Proven experience as a Data Analyst or similar role, preferably in the IT industry. Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS. Strong analytical skills with the ability to manipulate and interpret complex datasets. Experience with data visualization tools such as Tableau, Power BI, or similar. Excellent communication and presentation More ❯

Notebooks, Visio, SharePoint, Confluence, or other visualization/documentation tools. Experience working with APIs, including integration and data extraction. Knowledge of version control systems such as GitHub. Proficiency in R programming is a plus. Bachelor's degree in Business Analytics, Statistics, Data Analytics, Computer Science, Information Systems, or a related field OR 4+ years of relevant data analysis experience in More ❯

rock-solid grasp of probability, statistics, and machine learning. Expertise in creating and optimizing machine learning models, generative AI, and time series analysis. Mastery of Python and/or R for data analysis (scikit-learn, TensorFlow, PyTorch? You've got it). Strong SQL/NoSQL skills - you can navigate databases like a pro. Bonus Points: Experience working with big More ❯

underwriting, pricing, reserving, or risk management processes in insurance Advanced SQL skills for querying complex databases and joining disparate data sources Expertise in data manipulation and analysis using Python, R, or similar analytical tools Experience with data visualization tools (e.g., Tableau, Power BI, Looker) Experience with dashboard creation for operational metrics tracking Strong communication and analytical skills Capable of working More ❯

The ideal candidate has deep expertise in gathering requirements and insights, mining large and diverse data sets, data visualization, writing complex SQL queries, building rapid prototype using Python/R and generating insights that enable senior leaders to make critical business decisions. The ideal candidate has experience providing guidance and support for other engineers with industry best practices and direction. More ❯

value using data & analytics. Proven experience in data analysis and Business Intelligence tools such as SQL, MS Excel, PowerBI, Tableau or similar tools. Knowledge on programming languages such as R or Python for data science and the application of Machine Learning. Drives and encourages the practice of continuous improvement and organisational change; positively embraces change and draws out new ideas More ❯

with cross-functional teams, including marketing, sales, finance, and IT. Understand business requirements to tailor data analysis efforts. Tool and Technology Utilization: Use software such as Excel, SQL, Python, R, Tableau, Power BI, or other analytics tools. Manage and maintain data systems and databases. Stay updated on emerging trends and technologies in data analysis. Improve data collection and analysis processes. … Computer Science, or a related field. Proficiency in statistical analysis and data visualization tools. Strong SQL skills and experience with relational databases. Knowledge of programming languages like Python or R is a plus. Excellent problem-solving and analytical skills. Strong communication and presentation abilities. Key Attributes: Detail-oriented with a focus on data accuracy. Strong organizational and time management skills. More ❯

high-profile health incidents alongside ongoing surveillance activities. UKHSA has a strong data science community with learning opportunities, community groups and hackathon events. We predominantly code in Python and R and utilise AWS and Azure based cloud environments. The teams use Agile ways of working including software such as Confluence and Jira to manage delivery. Our Enterprise Data and Analytics …/HND (Level 5) Ability to apply advanced analytical and statistical techniques using a variety of software/codebases including practitioner level knowledge of coding including version control, SQL, R and/or Python or other programming languages relevant to data science; whilst supporting development of coding capability across the team. Expertise in wrangling, cleaning and preprocessing data for readiness … we will shortlist on: Ability to apply advanced analytical and statistical techniques using a variety of software/codebases including practitioner level knowledge of coding including version control, SQL, R and/or Python or other programming languages relevant to data science; whilst supporting development of coding capability across the team. If you are successful at this stage, you will More ❯

data strategy professionals. Excellent analytical and problem-solving skills, with the ability to translate complex data into strategic insights and recommendations. Proficiency in understanding programming languages such as Python, R, or SQL, and experience using data manipulation and analysis tools like Qlik Sense, Power BI, and Tableau. Exceptional communication and interpersonal skills, with the ability to collaborate effectively with stakeholders … Excel, MS Word, SharePoint, Yammer) Business Intelligence Applications (Power BI, QLIK Sense, Tableau, or similar). SQL and SQL Server Reporting Services (SSRS). From a leadership perspective: Python, R (or other languages). Master Data Management Solutions (Informatica, Semarchy, IBM, or similar). Meta Data Management Solutions (Colibra, Alex Solutions, or similar). Qualifications Bachelor's degree in a More ❯

on new technologies and trends in data analytics and bring innovative thinking to the team. What You Bring Proficiency in SQL and data querying techniques Experience with Python or R for data analysis Strong skills in data visualization and reporting tools Solid understanding of statistics , data modelling , and data warehousing concepts Excellent analytical and problem-solving abilities Strong communication and More ❯

love to talk to you if you have the following skills and experiences: Strong experience in machine learning, statistical methods, and predictive modelling. Expertise in programming with Python or R, including optimization, modularization, and best practices. Hands-on experience with SQL and working with relational databases, data lakes, and cloud platforms. Exposure to Azure Data Services, Fabric, Synapse, or related More ❯

or a related field. Proven experience working with large datasets, preferably within the energy, environmental, or sustainability sectors. Strong proficiency in data analysis tools such as Excel, SQL, Python, R, or similar. Experience with data visualization tools like Power BI, Tableau, or similar platforms. Knowledge of energy systems, environmental policies, and sustainability practices is a plus. Ability to work independently More ❯

QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social More ❯

QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL databases, data visualisation tools, and statistical packages. Strong analytical, problem-solving, and critical thinking skills. 8.Experience with social More ❯

in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software (R, Python, SAS, MATLAB). Experience with Windows server management and Power BI Report Service. Proficiency with Python/Jupyter Notebooks, SQL and relational databases, ElasticSearch/Kibana. Background working with More ❯

below, we'd love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or More ❯

and problem-solving skills while gaining experience in a fast-paced, data-driven environment. What You'll Do Data Analysis & BI Development Perform data analysis using SQL, Python/R, and visualisation tools such as Power BI. Assist in building and maintaining dashboards and reports to support business and client needs. Identify trends and patterns in data to provide actionable … business value. Our Ideal Candidate Some experience in data analysis or a related field (internships, coursework, or entry-level roles). Proficiency in SQL and familiarity with Python/R for data analysis. Experience with data visualisation tools like Power BI is a plus. Strong analytical and problem-solving skills, with a keen eye for detail. Effective written and verbal More ❯