The DDSI team sits at the intersection of business strategy, advanced analytics, and technology integration to help our partners explore opportunities for analytics, shape business decisions, and drive value.
Compensation
$80-$88/hr
Responsibilities
Achieve business goals and objectives—Research and develop decision science models and act as a consultant to all business units
Pursue innovation—Conduct research on analytical techniques and translate that research into usable and sustainable solutions for users
Put your skills to the test—Perform data collection and data mining, and build state-of-the-art decision science algorithms, tools, and systems
Drive value—Model and analyze revenue management and pricing related issues using various mathematical, statistical, and simulation techniques
Tell the story—Present science results to business partners and clients
Requirements
Master's or Ph.D. degree in Statistics, Operations Research, Industrial Engineering, Mathematics, Machine Learning, Econometrics, or related field
Senior Data Analyst to join the European Data & Analytics team, supporting Merchandising by translating complex business questions into actionable insights using transactional, financial, customer, and operational data.
Responsibilities
Partner with European Merchandising, Category and other business teams to understand priorities, define business questions and translate them into analytical requirements and measurable KPIs.
Apply advanced analytical techniques where appropriate, including forecasting, clustering, regression, hypothesis testing, causal impact analysis and other statistical methods.
Act as a data-driven thought partner to business stakeholders, providing insights and constructively challenging assumptions and priorities based on data.
Evaluate category and commercial performance using transactional, financial, customer and operational data, identifying trends, opportunities and areas requiring action.
Independently lead analytics projects from problem definition and data exploration through analysis, recommendation and stakeholder communication.
Requirements
Higher degree in an analytical discipline such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance or a related field
Nice to have: AI agents
Nice to have: AI coding tools
Nice to have: Databricks
Nice to have: Azure
Skills
Senior Data Analyst – European Merchandising Analytics
Circle K Business Centre SIA · Posted Nov 11, 2026
Senior Data Analyst to join the European Data & Analytics team, supporting Merchandising organization by translating complex business questions into actionable insights and scalable analytical solutions across multiple categories and markets.
Compensation
Monthly salary: starting from 2800 Eur gross;
Responsibilities
Partner with European Merchandising, Category and other business teams to understand priorities, define business questions and translate them into analytical requirements and measurable KPIs.
Act as a data-driven thought partner to business stakeholders, providing insights and constructively challenging assumptions.
Evaluate category and commercial performance using transactional, financial, customer and operational data.
Independently lead analytics projects from problem definition and data exploration through analysis, recommendation and stakeholder communication.
Requirements
Higher degree in an analytical discipline such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance or a related field.
Nice to have: AI agents
Nice to have: AI coding tools
Nice to have: Databricks
Nice to have: Azure
Skills
Senior Data Analyst – European Merchandising Analytics
A trusted analytics partner to European Merchandising and Category teams, helping translate complex business questions into actionable insights and scalable analytical solutions.
Compensation
Monthly salary: starting from 2800 Eur gross;
Responsibilities
Partner with European Merchandising, Category and other business teams to understand priorities, define business questions and translate them into analytical requirements and measurable KPIs.
Apply advanced analytical techniques where appropriate, including forecasting, clustering, regression, hypothesis testing, causal impact analysis and other statistical methods.
Act as a data-driven thought partner to business stakeholders, providing insights and constructively challenging assumptions and priorities based on data.
Evaluate category and commercial performance using transactional, financial, customer and operational data, identifying trends, opportunities and areas requiring action.
Independently lead analytics projects from problem definition and data exploration through analysis, recommendation and stakeholder communication.
Requirements
Higher degree in an analytical discipline such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance or a related field.
Nice to have: AI agents
Nice to have: AI coding tools
Nice to have: Databricks
Senior Data Analyst – European Merchandising Analytics
Senior Data Analyst to support European Merchandising and Category teams, translating business questions into actionable insights and scalable analytical solutions.
Responsibilities
Partner with European Merchandising, Category and other business teams to understand priorities, define business questions and translate them into analytical requirements and measurable KPIs.
Apply advanced analytical techniques where appropriate, including forecasting, clustering, regression, hypothesis testing, causal impact analysis and other statistical methods.
Act as a data-driven thought partner to business stakeholders, providing insights and constructively challenging assumptions and priorities based on data.
Evaluate category and commercial performance using transactional, financial, customer and operational data, identifying trends, opportunities and areas requiring action.
Independently lead analytics projects from problem definition and data exploration through analysis, recommendation and stakeholder communication.
Requirements
Higher degree in an analytical discipline such as Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Finance or a related field
Designing scalable LLM and NLP solutions for high-volume customer interactions, driving architecture, best practices, and innovation across voice AI systems.
Responsibilities
Architect and develop AI-driven IVR and conversational systems using Python
Build NLP models for text classification and clustering to support intent detection and call routing
Perform data analysis using SQL
Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases
Lead development of agentic AI workflows for multi-step customer interactions
As a Data Scientist III, you will be a strong individual contributor embedded in the Clinical Development analytics function. You will design and build sophisticated ML and AI solutions, conduct rigorous statistical analyses on clinical datasets, and collaborate closely with clinical, medical, and operational stakeholders to translate complex data into actionable insights.
Responsibilities
Design, develop, and deploy predictive modeling and data science solutions — including regression, clustering, survival analysis, time series forecasting, and Monte Carlo simulation — to address clinical development challenges.
Conduct rigorous statistical investigations and exploratory data analysis across clinical datasets including trial data, EHR/EMR, and real-world evidence (RWE).
Translate moderately ambiguous scientific or operational problems into structured, hypothesis-driven analytical frameworks spanning study feasibility, trial execution, and patient analytics.
Build and maintain data and analytics pipelines — contributing to pipeline design decisions and ensuring computational efficiency within established architectural patterns.
Partner with senior data scientists and engineering teams on data quality, pipeline reliability, and scalability improvements.
Requirements
Bachelor's in Data Science, Statistics, Biostatistics, Computer Science, or a related discipline
Master's in Data Science, Statistics, Biostatistics, Computer Science, or a related discipline
Ph.D. in Data Science, Statistics, Biostatistics, Computer Science, or a related discipline
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