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 ❯
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 ❯
research, data science, or equivalent experience 2+years work experience in data science, working in a commercial setting orin consulting Experiencewith Machine Learning and statistical modelling techniques Strongprogramming skills in R and/or Python Experienceapplying advanced analytics and Machine Learning to solve businessproblems Experiencewith data visualization software/libraries (Tableau, PowerBI) Comfortworking both on a team and autonomously Strongwritten and 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 ❯
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 ❯
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 ❯
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 ❯
and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers to More ❯
and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers to 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 ❯
queries joining multiple datasets, ETL DW concepts - Experience in Excel (macros, index, conditional list, arrays, pivots, lookups) - Experience scripting for automation (e.g., Python, Perl, Ruby) - Experience using Python or R for data analysis or statistical tools such as SAS - Experience using statistical tools such as Minitab - Experience with reporting and Data Visualization tools such as Quick Sight/Tableau/ More ❯
presentation. Excellent communication skills - able to translate technical details into business language. Self-motivated, curious, and unafraid to ask questions or dig deep to find answers. Comfortable with Python, R, or similar languages for deeper analysis (preferred but not required). Bonus Points Experience working in the travel, hospitality, or marketplace space. Previous OKR ownership or strategic metric accountability. Proven More ❯
rounded professional. BASIC QUALIFICATIONS 2+ years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience applying theoretical models in an More ❯
into a better-rounded professional. - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience applying theoretical models in an More ❯
the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you. Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly … strategy through experimentation, exploratory analysis and quantitative research You'll build and automate actionable models and dashboards You'll craft data stories and share your findings and recommendations across R&D and the broader company You'll drive and shape core RAD foundations and help us improve how the RAD org operates What skills do I need? 5 + years … technical and non-technical) and a focus on driving impact Strong growth mindset and sense of ownership. Innate passion and curiosity Experience with a scientific computing language (such as R or Python) Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to More ❯
