26 to 50 of 1,213 R Jobs

SQL Server, Oracle, MySQL) Familiarity with ETL processes and data warehousing concepts Experience in data modeling and designing effective reporting structures Knowledge of programming languages such as Python or R for data manipulation and analysis Strong analytical and problem-solving skills, with attention to detail Excellent communication and interpersonal skills for collaborating with cross-functional teams Requirements achelor's degree More ❯

and product improvement. End-to-end implementation of data science pipelines. Experience and QualificationsKnowledge/Skills Expertise in tools such as SQL, Azure Data Factory, Azure Databricks, Azure Synapse, R, Python and Power BI. Exceptional ability to communicate strategic and technical concepts to a diverse audience and translate business needs into technical requirements Experience of liaising effectively with Data Engineers More ❯

a great Grayce Analyst: 2:1 Undergraduate Degree: In a STEM field, with a solid academic basis in data analysis; MSc is a plus. Data Tools: Experience with Excel, R, SQL, or Python is essential. Experience with Tableau or Power BI is advantageous. Analytical Problem Solving: Ability to spot patterns, think creatively, and dissect complex issues. Soft Skills: Effective communication More ❯

Factory, etc.); experience with Microsoft Fabric is a big bonus. Proven track record building Power BI dashboards and reports, including data modelling and DAX measures. Familiarity with Python or R for data manipulation and lightweight ETL scripting would be beneficial plus SQL skills for querying both relational and semi‐structured data. Practical knowledge of one or more CPO platform would More ❯

exclusively) or equivalent experience. Previous working experience in an analytical role, preferably within the gambling or gaming industry. Proficient in SQL and one or more of the following: Python, R, SAS Knowledge of Data visualisation software, PowerBI preferrable. Proven ability to analyse large sets and translate them into insights and actionable business recommendations. Strong communication, collaboration, and presentation skills, with More ❯

via reports, presentations, and dashboards. Upholding ethical data practices and ensuring compliance with legal regulations to protect privacy and security. What are we looking for: Working knowledge of Python, R, or similar languages and statistical methods. Experience with data processing, cleaning, and management, including ETL pipelines. Skills in data analysis, visualization, and storytelling with data. Analytical problem-solving and critical More ❯

a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear More ❯

a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear More ❯

data and communicate findings to both technical and non-technical stakeholders. Strong problem-solving and analytical thinking skills with a solid understanding of business concepts; Preferred Proficiency in Python, R, or other coding languages for statistical data analysis is a strong plus; Experience with data visualization tools like Power BI is preferred; Experience with Supply Chain or related functions is More ❯

and Experience • 5+ Years of professional experience • 3+ Years of experience of RevOps at a SaaS company experience • Proficiency in SQL and at least one statistical programming language (Python, R, etc.) • Experience with Power BI, Tableau or any other equivalent data visualization tool Behavioural Expectations • Strong background in bringing data to life for decision makers • Ability to work in a More ❯

FP&A page is loaded Senior Manager, Data Scientist FP&A Apply locations London, United Kingdom time type Full time posted on Posted 2 Days Ago job requisition id R About Us LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data business. We are dedicated, open-access partners with a dedication to excellence More ❯

and Commercial business process automation systems. Personnel should 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 More ❯

role if you have some of the following Proven experience in AI and machine learning, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience More ❯

role if you have some of the following Proven experience in AI and machine learning, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience More ❯

of data sets through the use of scripts or algorithms Required Skill Sets: • E xperience programming or scripting and debugging in one or more languages such as: Python, Javascript, R, SQL, Scala, etc. • Proficiency with data mining, mathematics, and statistical analysis demonstrated with hands-on academic and project experience conducting statistical analysis, testing, and modeling using regression analysis, linear regression More ❯

trend analysis. Ability to elicit information from broad user bases and apply appropriate analytic methodologies to generate actionable insights. Proficiency in data analytic tools such as Access, Excel, Python, R, SQL, VBA. Proficiency in data visualization platforms like Tableau, Power BI, or equivalent. Demonstrated experience in data analysis, data engineering, and data enrichment. PREFERRED QUALIFICATIONS 5+ years of experience within More ❯

or other STEM field with experience in building a variety of statistical models and/or ML algorithms as well as a strong understanding of statistical computer programming languages (R or Python). You will need to have the ability to use data visualisation software (Power BI or Tableau) and professional experience managing data pipelines (experience with football data desirable More ❯

of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a More ❯

of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a More ❯

queries. Proficiency in optimising database queries, pipelines, and storage for speed, scalability, and cost-efficiency. Skilled in using Git. Experience Essential At least 3 years industry experience. Experience in R programming language. Experience in Python programming language. Experience in designing, building and maintaining data pipelines. Experience with data warehousing and data lakes. Experience in developing and maintaining ETL processes. Experience 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 ❯

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 ❯

Sense. Past project/experience analyzing financial datasets or proven past experience working on financial market concepts. Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL. Extensive experience in communicating results in a clear, concise manner using data visualization tools. Demonstrated ability taking a logical approach and applying critical thinking skills in order to More ❯

Sense. Past project/experience analyzing financial datasets or proven past experience working on financial market concepts. Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL. Extensive experience in communicating results in a clear, concise manner using data visualization tools. Demonstrated ability taking a logical approach and applying critical thinking skills in order to More ❯

etc. Strong SQL skills required Experience in Python with predictive modelling, regression techniques as well as wider techniques like clustering/random forest is desirable Tech Stack: SQL, Python, R, Tableau, AWS Athena + More! More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, extra festive time More ❯