22 of 22 Exploratory Analysis Jobs

with other internal and external data sources in Google BigQuery and Power BI to support Canon's ITCG marketing, ecommerce and CRM team initiatives. Exploratory Analysis & Insights. Perform exploratory analysis using Python/R and SQL to uncover trends, anomalies, and business opportunities in ITCG digital … processes to ensure data accuracy and reliability before it's used in downstream systems and collaborate with IT on upstream changes required. Customer Journey Analysis & OptimisationAnalyse customer behaviour across ECOM and Marketing B2C websites. Work with the ITCG ECOM and ITCG Content teams to identify friction points and recommend ...

London offices. This is an experienced individual contributor role for someone who enjoys working with ambiguous problems, exploring data, developing hypotheses and turning analysis into actionable business decisions. You will work across multiple teams, partnering with Analytics, Data Science and Product stakeholders to identify opportunities, shape analytical initiatives … influence how problems are approached. Responsibilities include: Lead exploratory analysis across complex, cross-functional business problems Identify patterns, opportunities and hypotheses that can drive business decisions Develop analytical prototypes and models to test ideas and assess potential impact Translate complex analysis into clear, actionable recommendations for stakeholders ...

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 ...

maintain secure, scalable backend services and REST APIs that enable metric consumption and power the user interface Define and validate metric logic, perform exploratory and trend analysis, and translate findings into compelling dashboard narratives that inform engineering decisions Partner with engineering teams, leaders, and stakeholders to align … optimization Demonstrated engineering practices including CI/CD pipeline implementation, automated testing, and code review standards Analytical capability to develop and validate metrics including exploratory analysis, cohort and trend analysis, and anomaly detection and translate results into clear visual narratives Effective communication and stakeholder partnership skills, with ...

until: 27 November 2026Job DescriptionJob Title: Product AnalystYour new roleWe're looking for a commercially minded Product Analyst with experience in product analytics, data analysis, or a similar insight-led role, ideally gained in a fast-paced, data-driven business. As a Product Analyst in Global's DAX Product … other Product Owners, Engineers, Operations, and commercial stakeholders across DAX.This is not a purely reporting-led role. You'll turn ambiguous questions into clear analysis, investigate trends and anomalies in product, operational, and commercial data, and provide evidence-based recommendations that inform product discovery, prioritisation, strategy, and OKRs. ...

Description Job Title: Product Analyst Your new rol e We're looking for a commercially minded Product Analyst with experience in product analytics, data analysis, or a similar insight-led role, ideally gained in a fast-paced, data-driven business. As a Product Analyst in Global's DAX Product … Product Owners, Engineers, Operations, and commercial stakeholders across DAX. This is not a purely reporting-led role. You'll turn ambiguous questions into clear analysis, investigate trends and anomalies in product, operational, and commercial data, and provide evidence-based recommendations that inform product discovery, prioritisation, strategy, and OKRs. ...

reliability. Build intuitive visual analytics: Design, deploy, and maintain dynamic BI dashboards and reports to present clear data health insights to key stakeholders. Perform exploratory analysis: Utilize SQL and BI software to investigate datasets, discover underlying patterns, and resolve complex data quality challenges. Drive process automation & AI integration … teams to align data quality standards with business needs. Conduct root-cause investigations: Address ad-hoc stakeholder inquiries and deliver swift, accurate data analysis to support operational decision-makingExperience & Background1–2 years of hands-on experience in a data-focused role or internship (e.g., Data Analysis ...

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 ...

modeling concepts: star/snowflake schemas, dimensional modeling,semantic layers, and performance tuning at scale. Experience with Python or R for data wrangling and exploratory analysis. Analytical & Business Acumen Strong ability to decompose complex business problems into clear analytics requirements. Experience defining and documenting KPIs and business metrics ...

ownership of their work and close exposure to senior stakeholders. The role Own defined data science use cases from start to finish: problem framing, exploratory analysis, modelling, validation, implementation and monitoring Apply statistical modelling, machine learning and AI techniques to operational challenges using Python and SQL Build ...

expertise to market. The opportunity Tackle complex client challenges using mathematical modelling, machine learning and advanced analytics. Own the full analytical lifecycle, from exploratory analysis and model development through to testing, delivery and handover. Translate business problems into innovative, evidence-based analytical solutions. Communicate complex findings with clarity ...

action modelling to generate insight and improve customer decisions. Write production-quality code and review the work of data scientists and AI engineers, including analysis, model design, code, prompts and data pipelines. Establish robust approaches to data preparation, experimentation, validation and performance measurement, ensuring outputs are reliable, actionable … review and improve the code, analytical methods, model designs, prompts and pipelines produced by others. Data science and analytics fundamentals. Strong understanding of exploratory analysis, statistical methods, experimentation and machine learning, including experience developing, evaluating and deploying models. You know when traditional analytics or machine learning is more ...

attack paths. Evaluate model accuracy, bias, explainability, robustness and operational effectiveness. Partner with security analysts and engineers to productionise analytical use cases. Perform exploratory analysis and communicate insights through clear visualisations and narratives. Establish data science standards, experimentation methods and model monitoring practices. Support responsible and secure ...

business outcomes. Engineer new predictive features that can be incorporated into pricing algorithms. Take ownership of projects across the full machine learning lifecycle, from exploratory analysis through to deployment and monitoring. Collaborate with Data Scientists, Data Engineers, Analysts, and business stakeholders to deliver commercial value. Explore emerging machine ...

with large-scale datasets, and build models that drive real-world impact. What You Will DoContribute to international FICO Scores projects through client data analysis, model development, model validation, and delivery activities. Design, develop, and evaluate state-of-the-art, data-driven exploratory analyses, predictive models, and decision … consumer lending, or credit bureau environments; familiarity with consumer credit risk, fraud risk, credit bureau data, or lending decisioning preferred. Strong programming and data analysis skills using languages or tools such as Python, R, C++, Java, MATLAB, or similar, with the ability to prepare, manipulate, analyze, and model large ...

data capability and enhance the value delivered across audits. This role plays a central part in ensuring audits are underpinned by robust data analysis and insight. Working closely with the GIA team, you will extract, analyse and visualise data from multiple sources to assess risks, evaluate controls, and produce … more meaningful, insight-driven audit outcomes. You will deliver clear, evidence-based analysis, build dashboards and MI to support decision-making, and help communicate findings to stakeholders. The role also supports the adoption of advanced analytics, including automation, machine learning and AI, to continuously improve audit effectiveness. All activities ...

someone new to the industry. KEY DUTIES Collaborate with cross-functional teams to define project requirements and deliver scalable solutions. Conduct data preprocessing, exploratory analysis, and model fine-tuning. Implement machine learning algorithms Stay updated on the latest advancements in AI to integrate innovative approaches into the project. ...

happening, why it's happening and what could happen next. You'll combine analytical rigour with commercial judgement and strong stakeholder engagement, making sure analysis doesn't stop at an interesting finding. Your work will help people make better decisions, understand opportunities and risks, and take practical action. This … enjoys creating clarity from ambiguity. You'll work closely with senior stakeholders to understand the question behind the question, explore the data, develop robust analysis and communicate the "so what?" in a way that people can use. What we're looking for We're looking for someone ...

medical writers and regulatory colleagues as a peer, not a downstream resource reading protocols and SAPs early enough to shape how a study's analysis gets structured, then seeing that structure through to submission-ready SDTM and ADaM datasets, TFLs, and supporting documentation. Hybrid Based (3 days a week … ambiguity in a protocol before it becomes a data problem three months later, and making the judgment calls that keep a study's analysis both scientifically sound and audit-ready. What You'll Be Responsible For You'll lead end-to-end programming for your assigned studies in-house ...

work calls for it. Most of your impact, though, comes from the decisions upstream: how standards are applied across studies so an integrated analysis comes together cleanly, how CRO work is scoped and held to account, and how a submission package is built so it holds up under review. … peer to biostatistics, data management, medical writing and regulatory leads, and youll be in the room early enough to shape a programmes analysis strategy rather than inherit it. Hybrid Based (3 days a week onsite) in Maidenhead Why It Matters A single well-programmed study is valuable. A programme ...

scale. This is an opportunity to build broad experience across the analytical lifecycle, from understanding business questions and preparing data through to developing analysis, visualising findings and communicating a compelling story to technical and non-technical audiences. ResponsibilitiesGather, validate, clean and prepare data from multiple sources, applying appropriate quality … checks before conducting exploratory analysis. Analyse complex colleague datasets to identify meaningful patterns, trends and opportunities, translating findings into actionable insights and recommendations. Develop and maintain high-quality dashboards, reports and visualisations that enable leaders and stakeholders to make informed, data-driven decisions. Translate complex analytical findings into clear ...

scale. This is an opportunity to build broad experience across the analytical lifecycle, from understanding business questions and preparing data through to developing analysis, visualising findings and communicating a compelling story to technical and non-technical audiences. ResponsibilitiesGather, validate, clean and prepare data from multiple sources, applying appropriate quality … checks before conducting exploratory analysis. Analyse complex colleague datasets to identify meaningful patterns, trends and opportunities, translating findings into actionable insights and recommendations. Develop and maintain high-quality dashboards, reports and visualisations that enable leaders and stakeholders to make informed, data-driven decisions. Translate complex analytical findings into clear ...