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 ❯
NHS Foundation Trust. You will evaluate and redesign care pathways, applying advanced analytics (e.g., regression modelling, risk stratification) to tackle health inequalities and improve outcomes. Using tools like Python, R, SQL, and Power BI, you will extract and analyse data from multiple care settings to produce actionable insights, support prevention, and drive evidence-based decision-making. You'll also design … Proven expertise in working with large, complex, and multi-source datasets. Track record of influencing decisions at senior level through high-impact analysis and visualisation. Expert proficiency in SQL, R, Python, Excel, Power BI or Tableau. Skilled in segmentation, stratification, equity analysis, and predictive analytics. Excellent project and stakeholder management, with ability to lead multiple complex streams simultaneously Experience in … understanding and application of data science and statistical techniques to healthcare data. Ability to manage a technical product lifecycle, including through end-user feedback and testing Desirable Experience in R and in Javascript Proficiency using DBT +/- Snowflake +/- Azure Personal Behavoirs Essential Proven experience in the ability to interact with colleagues at all levels both clinical and 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 ❯
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 ❯
powered insights to accelerate decision-making and customer impact. BASIC QUALIFICATIONS - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 4+ years of data scientist experience - Bachelor's degree - Experience with statistical models e.g. multinomial logistic regression - Master's degree in a quantitative field such as … statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science PREFERRED QUALIFICATIONS - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience - Experience managing data pipelines - Experience as a leader and mentor on a data science team Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability More ❯
Leading projects and mentoring other scientists, engineers in the use of ML techniques BASIC QUALIFICATIONS - 5+ years of data scientist experience - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical models e.g. multinomial logistic regression - Experience in data applications using large scale distributed systems (e.g., EMR More ❯
learning methods using data including the implementation of statistical modelling and methods into a live production environment. Experience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx, Jupyter notebook, R Markdown, TensorFlow, Keras, Pytorch etc. Practical expertise in producing reproducible code and pipelines including More ❯
Science, Mathematics, Computer Science, Statistics, or a related field. 🧠 Solid understanding of data analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud platforms (e.g., AWS, GCP). 📊 Experience working with data—through academic projects, internships, or personal work—and a curiosity to learn More ❯
Science, Mathematics, Computer Science, Statistics, or a related field. 🧠 Solid understanding of data analysis, machine learning concepts, and statistical methods. 🐍 Proficiency in Python (e.g., Pandas, Scikit-learn, NumPy) or R, with exposure to tools like Jupyter, SQL, or cloud platforms (e.g., AWS, GCP). 📊 Experience working with data—through academic projects, internships, or personal work—and a curiosity to learn More ❯
law and that we are upholding our values and ethics in how we use data. Skills and Knowledge Analysis of structure, semi-structured and unstructured data Programming - SQL, Python, R, Julia AI/ML ethics Understanding of Data Governance concepts and best practice Quick understanding of business problems and requirements A willingness to learn new skills and adopt to new More ❯
impactful data-driven solutions with a commercial and customer focus. Expertise in developing predictive modelling, statistical analysis, and machine learning. A basic understanding of programming languages such as Python, R, or SQL. Hands-on experience with data visualization tools like Tableau. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Creative thinker with a proactive, results-oriented More ❯
business objectives Degree in Business Analytics or Technology, Computer Science, Math, Statistics or equivalent experience You will need to have: Proficiency in SQL, Tableau (or other Visualisation tool) and R or Python. Deep expertise in the analysis of traffic across a wide variety of digital channels, and the production of complex attribution models that go far beyond final click Demonstrated … knowledge of applied statistical methods or automation using R, Python (or similar) Ability to share knowledge or mentor other members of the team on usage of these tools Strong communication skills with senior stakeholders across different departments The above list of duties is not exclusive or exhaustive and the post holder will be required to undertake tasks that are reasonably More ❯
and fast-paced problem-solving. What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. More ❯
and fast-paced problem-solving. What We’re Looking For: 2–4 years of experience in data science, machine learning, or commercial/pricing analytics. Proficiency in Python/R, SQL , and ML libraries (e.g., scikit-learn, TensorFlow, XGBoost). Experience with data visualisation tools (Tableau, Power BI) and statistical methods. Ability to communicate insights clearly to non-technical stakeholders. More ❯
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 ❯
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 ❯
trends and customer behaviour, and how these influence pricing decisions Eagerness to learn and grow, with support from experienced analysts and senior leaders Bonus Points For: Exposure to Python, R, or other data science tools Experience with data visualisation tools (e.g., Power BI, Tableau) Understanding of consumer finance or lending products Experience working with large datasets or in a regulated More ❯
at the level of a qualified UK actuary (Fellow of IFoA preferred) Minimum 5 years of relevant actuarial experience with strong focus on pricing and modelling Programming skills in R and/or Python Experience with technical platforms, pricing systems, or analytical infrastructure Experience with modern data architecture, APIs, and cloud-based solutions Project management skills with ability to lead More ❯
London, UK time type Full time posted on Posted 2 Days Ago time left to apply End Date: July 21, 2025 (11 days left to apply) job requisition id R Job Description Summary Job Description Principal Data Analytics Engineer Permanent Location: London (We believe in the power of in-person collaboration, and our hybrid model requires colleagues to be in 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 ❯
5+ Years of professional experience • 3+ Years of experience of Customer Success Ops at a SaaS company experience • Proficiency in SQL and at least one statistical programming language (Python, R, etc.) • Strong proficiency in SQL, Excel, and BI tools (e.g., Tableau, Power BI, Looker) • Experience with Customer Success platforms (Gainsight, HubSpot Service, Salesforce Service, etc.) Behavioural Expectations • Strong background in 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 ❯
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 - Bachelor's degree in BI, finance More ❯
teams to develop scalable business processes and data pipelines to support our clients • Develop data models, analytics and reporting using capabilities such as Legend Studio, Snowflake, Alteryx, SQL, Tableau, R, Python • Manage prioritization and stakeholder engagement to maximize delivery towards established business goals. BASIC QUALIFICATIONS • Minimum of 4 years of experience in Business Intelligence, Data Engineering or Data Analytics fields More ❯
