24 of 24 Exploratory Analysis Jobs

full consumer lifecycle — from acquisition and activation through engagement, retention, churn and reactivation.Identify opportunities to improve conversion, customer value and sustainable growth using funnel analysis, cohort analysis, segmentation and behavioural analytics.Collaborate closely with Product Managers, Designers, Engineers and Data teams to ensure decisions are grounded in robust analysis … trade-offs exist.Support decisions that improve key business outcomes, such as activation, conversion, repeat usage, retention, churn, customer lifetime value and revenue-related metrics.Conduct exploratory analysis to answer product and business questions, translating complex data into clear, commercially relevant recommendations.Define, monitor and communicate core SumUp Consumer KPIs, covering ...

your insights directly influence product decisions — this role is for you.What you’ll doAnalyse customer behaviour and product performance for SumUp Consumer using funnel analysis, cohort analysis, segmentation, and behavioural analytics to identify opportunities and drive improvementsSupport Product Managers in understanding customer journeys, engagement, conversion, and retention — helping … shape product strategy and prioritiesConduct exploratory analysis to answer product and business questions, translating complex data into clear, actionable recommendationsDefine, monitor, and communicate core SumUp Consumer KPIs — covering activation, engagement, and retention — and evaluate the impact of product changes for stakeholdersDesign, execute, and analyse A/B tests ...

models for forecasting, classification, recommendation, optimisation, clustering and anomaly detection. · Apply statistical and machine learning techniques to analyse structured and semi-structured datasets. · Perform exploratory data analysis, feature engineering, model training, validation and model evaluation. · Compare model approaches, select appropriate metrics and explain technical trade-offs clearly. · Build … bring: Required: · 3-5 years of commercial experience in Data Science, Machine Learning or Advanced Analytics roles. · Strong hands-on Python experience for data analysis, feature engineering and model development. · Strong SQL skills and experience working with complex or sizeable datasets. · Solid theoretical and practical understanding of supervised learning ...

data science solutions that improve customer outcomes, enhance commercial performance & support strategic business decision making. Own the complete analytical lifecycle, from initial problem definition & exploratory analysis through feature engineering, model development, deployment, operational monitoring & continuous optimisation. Build sophisticated statistical & machine learning models covering areas such as: * Customer Lifetime … technical & business stakeholders * Promote best practice in data science & software engineering Responsibilities: * Take ownership of the complete data science lifecycle, including problem definition, exploratory data analysis, feature engineering, model development, validation, deployment & ongoing optimisation. * Design & execute statistically rigorous analytical approaches, including hypothesis testing, experimental design, uncertainty measurement & business ...

Python (4) Geospatial intelligence software (5) APIs from commercial/open-source providers.The data scientist will be expected to conduct exploratory analysis of datasets to address a range of client problem sets.Open-Source Intelligence and data exploitationThe data scientist is not expected to be trained/experienced … with hands-on experience developing models that solve practical problems and deliver measurable impact.You are comfortable working across the full machine learning lifecycle – from exploratory data analysis and model prototyping to production deployment, integration, and ongoing monitoring.You are proficient in Python and its data/ML ecosystem (e.g. ...

Python (4) Geospatial intelligence software (5) APIs from commercial/open-source providers. The data scientist will be expected to conduct exploratory analysis of datasets to address a range of client problem sets. Open-Source Intelligence and data exploitation The data scientist is not expected to be trained … hands-on experience developing models that solve practical problems and deliver measurable impact. You are comfortable working across the full machine learning lifecycle - from exploratory data analysis and model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem ...

explore, analyze, and communicate insights from clinical trial data. This role combines clinical trial expertise, statistical thinking, and modern R programming to support exploratory analyses, facilitate scientific discussions, and generate actional insights for study teams.The successful candidate will work closely with statisticians, clinicians, and R application developers to identify … meaningful analytical questions, prepare clinical datasets, generate interactive visualizations, and drive improvements to the DIG analytical platform.Key Responsibilities- Perform exploratory analyses of clinical trial data using interactive R/Shiny applications.- Prepare, integrate, and quality-check clinical datasets for downstream exploratory analyses.- Identify trends, safety signals, efficacy patterns ...

researchers to build a holistic understanding of our customers, our products and our business.You’ll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative researchYou’ll build and automate actionable models and dashboardsYou’ll craft data stories and share your findings and recommendations across … drive evidence-based decisionsExcellent SQL skills and experience of applying analytical and statistical approaches to problem solvingProven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervisionExcellent communication skills (technical and non-technical) and a focus on driving impactStrong growth mindset ...

Operations, Finance) to design, implement, and test new and existing products.Apply and implement advanced statistical and machine learning methods to solve complex business problems.Conduct exploratory analyses into key metrics and lead the design and execution of A/B tests and other complex experiments to validate hypotheses.Create clear, effective ...

internal and external data sources. Engineering new features and rating factors to enhance existing pricing algorithms. Managing the full machine learning lifecycle, from exploratory analysis through to deployment, monitoring, and model refresh activities. Working closely with Data Scientists, Data Engineers, Analysts, and business stakeholders to translate challenges into ...

real-world datasets.Support SDTM, ADaM and TFL activities, including development, validation and review of study and standard programs for clinical trial data conversion, analysis and reporting.Produce validated datasets, tables, listings and figures in line with agreed standards, protocols, timelines and change control processes.Review and quality check programming code, outputs … documentation to ensure accuracy, compliance and reproducibility.Collaborate with statisticians, data scientists and study teams to implement analysis plans, answer technical questions and contribute to programming best practices.Apply knowledge of GxP, ICH requirements, internal processes and external regulations while helping introduce innovative tools and approaches within an agile delivery organisation.Why ...

product researchers to build a holistic understanding of our customers, our products and our business.You’ll influence our product roadmap and product strategy through exploratory analysis and quantitative researchIncreasingly, you will also:Use AI-assisted tools (e.g. Claude Code, Cursor) to accelerate analysis, coding and insight generationIdentify … with product teamsProven track record of delivering actionable insights that drive measurable impact with minimal supervisionStrong product intuition, business acumen and ability to connect analysis to strategyExcellent communication skills (technical and non-technical), with a focus on driving decisions and outcomesStrong ownership, curiosity and growth mindsetExperience with a scientific ...

reusable analytical datasets. Develop insightful dashboards, reports and data products that drive business value. Ensure data quality, validation and governance standards are maintained. Conduct exploratory analysis to identify trends, risks and opportunities. Communicate findings through compelling visualisations and business-focused recommendations. Key Skills & Experience Strong expertise in Microsoft ...

will:Support the development and enhancement of models including risk measures, volatility estimation, optimisation logic, and tolerance frameworks.Assist with model validation through data analysis, back‐testing, and scenario testing, and structured validation checks.Contribute to improvements in model performance, stability, and methodology.Ensure model logic is accurately translated into platform behaviour … updates, and platform enhancements, with a focus on strengthening automated testing and validation processes.Work with structured financial and market data to support modelling activities.Perform exploratory analysis to identify patterns, anomalies, or data quality issues.Support mapping, classification, data-integration tasks contributing to data engineering activities over time.Junior Quant Analysts ...

accountability. As a Senior Business Systems Analyst, your mission is to serve as a strategic partner to Product, Engineering, and Business stakeholders—leveraging deep analysis and data-driven insights to guide decisions and deliver high-quality solutions across the SuperVision platform.What You'll DoLead requirements discovery, analysis … client and vendor discussions, including occasional on-site meetings.•Apply Explore methodologies, tools, and systems to drive consistency, quality, and scalability.Perform in-depth data analysis to support product decisions, operational improvements, root cause investigations, and defect resolution.Analyze large and complex datasets to identify trends, anomalies, gaps, and opportunities across ...

department and industry standards (e.g. CDISC) and processes, assess and clarify additional programming requirements, review, develop and influence programming specifications as part of the analysis plans (incl. program-level strategies).Provide and implement statistical programming solutions; ensure knowledge sharing. Act as programming expert in problem-solving aspects.Ensure timely … quality development and validation of datasets and outputs for clinical study reports (CSRs), regulatory submissions/interactions, safety reports, publications, post-marketing activities or exploratory analyses (as required) in the assigned drug development studies/program. Understand Git-based version control workflows and their role in supporting collaborative, traceable ...

randomized — such as measuring the impact of pricing changes on supplier retention or the long-term effect of personalization on traveler LTV.Strategic Analysis & MeasurementOwn the measurement framework for your product area: define key metrics, build the instrumentation to track them, and surface insights that move the needle.Conduct exploratory … into clear narratives that are accessible to non-technical audiences — emphasising actionable insights and ‘so what’ over technical detail.Be a champion of unbiased, rigorous analysis — including when the data doesn’t support a stakeholder’s hypothesis; willingness to be the voice of inconvenient truths is a core expectation ...

Virginia Economic Development Partnership (VEDP) is seeking a Talent Data and Insights Analyst to support the Talent and Workforce Strategy team by delivering analysis, research, reporting, and data visualization to inform talent solutions, advance key talent initiatives, and strengthen internal team performance and strategy. Responsibilities: Assess data-related needs … summary statistics and trends Visualize data for consumption by external partners Oversee all Salesforce activities and deliverables, including reports and dashboards Provide data and analysis for briefing memos for the Governor and Secretary's offices in advance of calls to companies Track progress on talent-related initiatives to include ...

experienced Principal Biostatistician with a passion for clinical development and analysis, adept at utilizing advanced statistical methods, you will lead one Phase I-IV clinical studies across your region. You are excited and enthusiastic, motivate your teams to do great work and collaborate easily with your clients. You never … questions from Health Authorities, Publications.Use SAS and/or R for purposes like QC of datasets and deliverables, inferential statistical analyses, modelling/simulation, exploratory analyses etc. Contribute to and participate in other initiatives at Cytel or sponsor side as appropriate. Oversight of more junior Statisticians as required.Full timePosting ...

Review and oversight of statistical deliverables from other CROs Development and/or review of study documentation, including statistical sections of protocols and Statistical Analysis Plans (SAPs) Study design activities, including sample size calculations, ad‐hoc and exploratory analyses Additional statistical support as required across client projects Confident ...

Review and oversight of statistical deliverables from other CROs Development and/or review of study documentation, including statistical sections of protocols and Statistical Analysis Plans (SAPs) Study design activities, including sample size calculations, ad‐hoc and exploratory analyses Additional statistical support as required across client projects Confident ...

Review and oversight of statistical deliverables from other CROs Development and/or review of study documentation, including statistical sections of protocols and Statistical Analysis Plans (SAPs) Study design activities, including sample size calculations, ad‐hoc and exploratory analyses Additional statistical support as required across client projects Confident ...

Review and oversight of statistical deliverables from other CROs Development and/or review of study documentation, including statistical sections of protocols and Statistical Analysis Plans (SAPs) Study design activities, including sample size calculations, ad‐hoc and exploratory analyses Additional statistical support as required across client projects Confident ...

Review and oversight of statistical deliverables from other CROs Development and/or review of study documentation, including statistical sections of protocols and Statistical Analysis Plans (SAPs) Study design activities, including sample size calculations, ad‐hoc and exploratory analyses Additional statistical support as required across client projects Confident ...