1 to 25 of 757 R Jobs

of machine learning and AI applications Familiarity with data governance frameworks Understanding of agile methodologies Experience mentoring junior team members Knowledge of programming languages commonly used in analytics (Python, R, SQL) Experience with data visualization tools (Tableau, Power BI, etc.) You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change More ❯

the ability to translate complex data findings into actionable business insights. Ability to work independently and as part of a cross-functional team. Preferred Skills: Experience with Python or R for data analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies. Knowledge of regulatory requirements and compliance in the mortgage industry. Project management experience. If you have More ❯

subject matter to business stakeholders. Skills: Expertise in: Microsoft Office Suite; database querying using SQL; and data analysis tools, including SQL, DAX, and Excel. Statistical analysis tools such as R or Python Data visualization tools (Tableau and Power BI preferred) and data visualization, UI/UX, and wireframing best practices. Data architecture principles; data warehouses (Snowflake preferred); and API integrations. More ❯

to Microsoft Fabric implementations, including Azure Data Factory, SSIS, or SSRS Advanced Excel skills, including pivot tables, complex formulas, and macros Familiarity with statistical analysis tools such as Python, R, or SAS is advantageous Experience with Power Platform tools, including PowerApps, Power Automate, and DAX/M languages in Power BI Previous involvement in reporting and analytics for CRM and More ❯

Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding More ❯

Extensive hands-on experience collaborating with data engineering teams for data wrangling, cleaning, and transformation to ensure high-quality datasets for modelling. Proficient in programming languages such as Python, R, and SQL for data analysis and model development. Experience working with cloud computing platforms including AWS and Azure, and familiarity with distributed computing frameworks like Hadoop and Spark. Deep understanding More ❯

detail. Proficiency in BI tools such as Power BI, Qlik, or Tableau. Solid understanding of SQL for data extraction and manipulation. Familiarity with programming languages such as Python or R for data analysis. Experience with statistical analysis methodologies and data visualization techniques. Ability to communicate complex data insights clearly and effectively to stakeholders. Demonstrated experience in managing projects and collaborating More ❯

years); background in large-scale customer service or similar environments is desirable. Technical Mastery: advanced analytics, statistical modeling, ML/AI concepts applied to CS; proficiency in SQL, Python, R; experience with data visualization (Tableau, Power BI); experience with VoC programs and customer insight platforms is a plus. Data Strategy & Governance: ability to define and implement robust data strategy and More ❯

a trusted adviser to key stakeholders Numerate & analytical with knowledge of data management Proficient in BI tools like PowerBI, Qlik, Tableau Proficient in Microsoft SQL Proficient in Python/R Strong knowledge of statistical methodologies and data analysis techniques (eg clustering) Passionate about data analytics. Technically self sufficient with a desire and ability to research and pick up new tools More ❯

a trusted adviser to key stakeholders Numerate & analytical with knowledge of data management Proficient in BI tools like PowerBI, Qlik, Tableau Proficient in Microsoft SQL Proficient in Python/R Strong knowledge of statistical methodologies and data analysis techniques (eg clustering) Passionate about data analytics. Technically self sufficient with a desire and ability to research and pick up new tools More ❯

certifications in analytics tools and technology Demonstrated experience with non-SAP analytics platforms, and cloud-based analytics solutions, including data integration techniques Proficiency in programming languages such as Python, R, and/or SQL for data analysis, modeling and automation tasks What We Look For: We are looking for candidates who are: Innovative and agile , with a purpose-driven mindset More ❯

health management and healthcare commissioning. Experience in predictive modelling, demand and capacity planning, or statistical analysis. Proficiency in BI tools (e.g., Power BI, Tableau, Qlik). Experience with SQL, R, or Python for data analysis. Ability to design automated reporting solutions. Qualifications Essential Degree in a numerate, analytical, or health-related subject (e.g., Mathematics, Statistics, Economics, Informatics, Public Health) or More ❯

. Strong analytical and problem-solving skills. Proficiency in SQL and Excel . Excellent communication and presentation skills. Attention to detail with a proactive mindset. Desirable: Experience with Python, R, or data visualisation tools. Internship or project experience in data analytics or financial services. Understanding of personal loan products and customer journeys. TwentyFour Recruitment is an equal-opportunity employer. If More ❯

similar role. Strong proficiency in SQL, Excel, and data visualization tools (Tableau, Power BI, or similar). Familiarity with statistical analysis and data modeling techniques. Experience with Python or R for data manipulation and analysis (preferred). Excellent problem-solving skills with attention to detail. Strong communication and presentation skills to explain complex data in simple terms. Preferred Qualifications Experience More ❯

solver with curiosity, creativity, and attention to detail Proven experience in mentoring or coaching others Comfortable managing multiple projects with a flexible approach Desirable Skills Experience with Python or R What's On Offer 36.25 hours per week The opportunity to shape data analytics capability within a growing team Work that makes a real difference to communities A collaborative environment More ❯

visualisation technology such as PowerBi, Tableau or Qlik Statistical analysis, AI and machine learning techniques Simulation and mathematical optimisation techniques Hands-on coding experience preferably with SQL, Python or R Cloud development expertise, preferably Microsoft Azure or AWS Ambitious, with a desire to succeed in an entrepreneurial culture Ability to work under minimal supervision, plan work and managing own time More ❯

motivates the people behind it. Commercial acumen, with experience identifying and shaping new opportunities. Robust knowledge of statistical concepts and expertise across analytical tools: databases (SQL, BigQuery, noSQL), programming (R, Python, Spark), visualization (PowerBI, Tableau), and machine learning. Deep expertise in advanced analytics, data science, and traditional analytics, with a high-level understanding of data engineering and data strategy. Strong More ❯

career in this field. Familiarity with data analysis, statistical concepts, and creating data visualisations (coursework, science experiments, projects, or self-study count). Some experience with coding (e.g. Python, R, or similar) is desirable but not essential. Excellent problem-solving skills. Effective verbal and written communication skills, with the ability to present findings clearly. Strong team player who can work More ❯

data under analysis hierarchically. Robust knowledge of statistical concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (e.g. R, Python, Spark), and from data visualisation (e.g. PowerBI, Tableau) to machine learning. Deep expertise in advanced analytics, data science and traditional analytics. High-level understanding of data engineering and data More ❯

and storytelling - able to translate technical outputs into commercial insights for senior stakeholders. Technical fluency across: BI tools (e.g., Power BI, Tableau, Qlik) SQL and data engineering Python or R Cloud technologies (AWS, Azure, GCP) Strong communication and stakeholder management skills; comfortable influencing C suite clients. Advantageous competencies (but not essential): Exposure to AI/ML, NLP or advanced modelling More ❯

to support AI, ML, and BI Strong ability in programming languages such as Java, Python, and C/C++ Ability in data science languages/tools such as SQL, R, SAS, or Excel Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks) Proficiency More ❯

and storytelling — able to translate technical outputs into commercial insights for senior stakeholders. Technical fluency across: BI tools (e.g., Power BI, Tableau, Qlik) SQL and data engineering Python or R Cloud technologies (AWS, Azure, GCP) Strong communication and stakeholder management skills; comfortable influencing C-suite clients. Advantageous competencies (but not essential): Exposure to AI/ML, NLP or advanced modelling More ❯

motivates the people behind it Commercial acumen, with experience identifying and shaping new opportunities Robust knowledge of statistical concepts and expertise across analytical tools: databases (SQL, BigQuery, noSQL), programming (R, Python, Spark), visualization (PowerBI, Tableau), and machine learning Deep expertise in advanced analytics, data science, and traditional analytics, with a high-level understanding of data engineering and data strategy Strong More ❯

mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.Ability to perform effective querying involving multiple tables and subqueries (SQL, Python, R, etc.).Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for leadership.Experience and knowledge of More ❯

systems. Requirements: Degree in Data Science, Computer Science, Statistics, or a related field. Experience in predictive analytics, data science, or AI engineering within a business setting. Proficiency in Python, R, SQL, and experience with cloud-based ML platforms such as Azure ML, AWS, or GCP. Hands-on experience with data pipeline technologies (Azure Data Factory, Spark, Hadoop) and business intelligence More ❯