Business Analyst II, Order Performance, Trust, Analytics & Experiences (OPTANE) The Order Performance, Trust, Analytics & Experiences (OPTANE) team seeks a Business Analyst to drive strategic economic impact analysis of our marketplace quality initiatives. In this role, you will quantify how OPTANE's seller performance standards, enforcement actions, and trust-building mechanisms/initiatives create business value through improved customer experience … will focus on translating complex operational metrics into clear economic value propositions, enabling data-driven decision-making at all levels of the organization. Key job responsibilities Strategic Business Impact Analysis & Investment Planning Support P&L impact analysis of Order Performance initiatives, connecting seller performance metrics to business outcomes Assist in developing business cases and scenario models for strategic … evaluating performance standards' impact on marketplace health (revenue, selection) Analyze economic trade-offs between immediate metrics and long-term sustainability Measure effectiveness of seller improvement programs through data-driven analysis Impact Measurement Framework Development Support development of self-serve measurement tools for OPTANE teams Help create automated valuation models that scale with business needs Contribute to documentation and knowledge More ❯
Communicate complex data science concepts to non-technical stakeholders. Key Responsibilities 1. Advanced Predictive Models: Utilize machine learning algorithms to analyze historical data and identify patterns. Models such as regressionanalysis, neural networks, or ensemble methods can predict ETAs more accurately by considering various factors like traffic conditions, weather, route efficiency, and historical performance. 2. Real-Time Data … predictive models. This includes traffic updates, weather conditions, vehicle speed, and location data. Real-time data allows for dynamic adjustments to ETA predictions as conditions change. 3. Historical Data Analysis: Analyze historical data to understand common delays and their causes. This analysis can help in adjusting the predictive models to account for recurrent issues. 4. Route Optimization: Use … data can provide insights into vehicle performance, road conditions, and other factors that influence travel time. 7. Advanced Analytics Techniques: Employ advanced analytics techniques like time series forecasting, geospatial analysis, and simulation models to enhance the robustness of ETA predictions. Skills, Knowledge and Expertise We value diversity and encourage all interested candidates, regardless of whether they meet all qualifications More ❯
Analytics, Statistics, Economics, or related field; advanced degree preferred. 10+ years of experience in marketing roles, including marketing analytics, revenue modeling, or enterprise data strategy. Proficiency in attribution modeling, regressionanalysis, and forecasting techniques. Deep knowledge of B2B marketing funnels, ABM, lead scoring, campaign diagnostics. Strong command of tools like Python, R, SQL, and data visualization platforms (Power … skills to convey technical insights to senior stakeholders. Additional Preferred Qualifications: Experience working with Adobe Analytics, Salesforce, Snowflake, Marketo, CDPs, and multi-touch attribution tools. Familiarity with CLTV, cohort analysis, and customer segmentation modelling. Background in working within Revenue Operations or Performance Marketing Centers of Excellence. Exposure to AI-driven modelling, predictive segmentation, or real-time scoring. What’s More ❯
with leading brands to access consumer behavioural data previously unavailable. The Role Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources for analysis. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to explore relationships between media spend and outcomes. Model Validation and Interpretation: Evaluate model accuracy, interpret … learning techniques to enhance insights and model accuracy. Your Experience and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Econometrics: Experience with regression, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and KPIs. Communication Skills: Ability to explain complex concepts to More ❯
venture capital and strategic firms. Key Responsibilities: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilize econometric techniques like regressionanalysis, time series modeling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation … a clear and concise manner. Campaign Optimization: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimization, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Required Skills: Strong Econometrics Background: Expertise in statistical methods like linear regression, generalized linear models, panel … data analysis, and time series forecasting. Data Science Proficiency: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modeling, and visualization libraries. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen More ❯
has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regressionanalysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business More ❯
has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regressionanalysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business More ❯
engagement, using real data from hundreds of thousands of students Refining student personas by analysing survey responses, behavioural data, and qualitative insights, ensuring accuracy and usefulness Conducting advanced statistical analysis and clustering to uncover insights about student segments, motivations, and behaviours Collaborating closely with the Student Personas team to translate analytical findings into clear, actionable recommendations Creating robust documentation … analytical skills, demonstrated by excellent academic results, research projects, academic papers, or high placements in data science competitions You have practical experience with statistical modelling or machine learning techniques (regressionanalysis, clustering, classification, predictive modelling) through coursework, internships, or independent projects You are proficient in Python (especially pandas, numpy, scikit-learn, or similar libraries) and comfortable performing data … analysis using Jupyter notebooks or similar tools You are comfortable writing clear, efficient SQL for extracting, cleaning, and preparing datasets, demonstrated through coursework, internships, or personal analytical projects You have demonstrated initiative by independently exploring additional analytical and machine learning tools or frameworks, such as BigQuery, TensorFlow, PyTorch, or similar Progression This is an initial six-month engagement. If More ❯
Collaborate with IT to extract customer data from CRM for surveys. Develop live dashboards to monitor scores in real-time and implement alert systems for low scores. Perform insightful analysis, including building text analytics models. Present results to stakeholders at all levels, tailoring content as needed. Build feedback mechanisms to ensure feedback is acted upon locally and at the … or relevant field. Minimum 5 years experience in Customer Experience or VoC roles. Healthcare/Pharma or B2B experience preferred. Expert in VoC tools (Qualtrics, Forsta). Strong data analysis and report creation skills using multiple data sources. CCXP certification is a plus. Project management experience. Proficient in data science techniques, including statistical analysis, text analytics, and regressionMore ❯
to tenders and attending pitch presentation Deliver profitable growth from delivering a premium service to new and existing clients Lead an agreed portfolio of consulting model development and quantitative analysis assignments, including scoping and planning work, reviewing deliverables, setting agreed budgets, managing risk, and ensuring high levels of quality and good commercial outcomes. Oversee the development of complex statistical … models and tools using techniques such as regressionanalysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (, R, SAS, or Python). Establish policies and processes for the Quants team to act as an auditor’s expert. Lead and oversee quantitative testing performed for audit engagement teams in respect More ❯
to tenders and attending pitch presentation Deliver profitable growth from delivering a premium service to new and existing clients Lead an agreed portfolio of consulting model development and quantitative analysis assignments, including scoping and planning work, reviewing deliverables, setting agreed budgets, managing risk, and ensuring high levels of quality and good commercial outcomes. Oversee the development of complex statistical … models and tools using techniques such as regressionanalysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (e.g., R, SAS, or Python). Establish policies and processes for the Quants team to act as an auditor's expert. Lead and oversee quantitative testing performed for audit engagement teams in More ❯
of contact between GSS and its clients Leading teams of data analysts Building a good understanding of the GSS solution, configuration options and impact of configuration changes Undertaking data analysis, in Python and SQL, to identify patterns in data to tune the GSS solution Creating client-facing reports as part of project delivery and close Presenting GSS methodologies and … Ability to identify trends & patterns within large datasets Advanced communication skills and stakeholder management skills including working with external clients Willingness to travel Desirable Experience in statistical modelling, and analysis using techniques such as regressionanalysis, multivariate analysis, factor analysis, and clustering Experience in analysing data in payments platforms including SWIFT, ISO20022 Experience working with More ❯
of professional experience as a data analyst, preferably in fraud, AML, or financial risk monitoring Solid understanding of statistical concepts and experience applying methods such as forecasting, time series analysis, A/B testing, or regressionanalysis Experience in producing insights that led to measurable improvements, ideally in relevant domains such as fraud, AML detection, or operations … experience working with large, complex, and sometimes messy datasets Experience designing, building, and maintaining ETL pipelines or data models, ideally using tools like dbt Proficiency in Python for data analysis, including data manipulation, visualisation, and basic modelling Strong data storytelling and communication skills: you can translate complex data into clear, actionable recommendations for both technical and non-technical stakeholders More ❯
expert with Python, Scala or R, or any other major machine learning programming language. You will design complex experiments and apply common methods such as linear and non-linear regression, multivariate analysis. You will display advanced domain knowledge (e.g., travel, online retail), business acumen (understanding the underlying business objectives), and critical reasoning skills. You will know and apply data More ❯
City of London, London, United Kingdom Hybrid / WFH Options
CPS Group (UK) Limited
Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: TBC – Market Rates Senior Marketing Data Analyst CPS … Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst Highly proficient in SQL Exposure to Data Warehousing technologies (e.g. Snowflake) Excellent technical proficiency in statistical analysis tools – Python and/or R Proven experience and strong knowledge of regressionanalysis including MMM and A/B Testing Strong verbal and written communication skills More ❯
Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: TBC – Market Rates Senior Marketing Data Analyst CPS … Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst Highly proficient in SQL Exposure to Data Warehousing technologies (e.g. Snowflake) Excellent technical proficiency in statistical analysis tools – Python and/or R Proven experience and strong knowledge of regressionanalysis including MMM and A/B Testing Strong verbal and written communication skills More ❯
or at client sites a minimum of three days per week. You'll make an impact by: Managing and Delivering an agreed portfolio of Consulting model development and quantitative analysis assignments, scoping and planning work, preparing or reviewing deliverables, setting and working to agreed budgets, managing risk and maintaining high levels of quality and good commercial outcomes. Completion of … associated documentation to a high standard is expected. Developing complex statistical models and tools; techniques including (inter alia) regressionanalysis, time series and survival analyses, Monte Carlo simulation. Coding and review of tools in modern computing languages (e.g. R, SAS or Python). Acting as an auditor's expert which may involve the development, review and testing of More ❯
The quantitative trading teams at Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. What You'll Do: Quantitative Researchers collect and analyze tens … of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump's Quantitative Researchers are constantly collaborating with other scientists, traders, hardware and software developers, and market facing business … success with profitable trading strategies. Strong programming skills in C Python in a Linux environment. Working knowledge of forecasting and data mining techniques, such as linear and non-linear regressionanalysis, neural networks, or support vector machines. Strong experience developing statistical models in a trading environment. Proven success working with large data sets and developing statistical models. Fascinated More ❯
You'll use your experience to date, to problem solve and ensure the best combination of tools and solutions are used for each project. You'll have exceptional data analysis skills and the ability to apply multiple types of data science. Excellent knowledge of statistics (hypothesis testing, regressionanalysis, ANOVA, etc) as well as experience of coding More ❯
in a similar environment. You will need to have very strong Python skills alongside additional knowledge of another main language and experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling If you would like to work with an industry leader, and would like to find out more, apply now More ❯
in a similar environment. You will need to have very strong Python skills alongside additional knowledge of another main language and experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling If you would like to work with an industry leader, and would like to find out more, apply now More ❯
Object, SQL, NOSQL) • Authentication, Authorisation, Identity Platforms • Information Security, Privacy and Regulatory Compliance • Performance Tuning, Hardening and Troubleshooting • Problem Solving Skills to Methodically Find Faults and perform Root Cause Analysis • Able to evaluate multiple courses of action, achieving goals by non-standard means if necessary • System Regression • Protocol Analysis • Load Testing • Availability and Resilience Optimisation • Lockdowns and More ❯
