1 to 25 of 42 Exploratory Analysis Jobs

might be possible, and communicating useful findings clearly. You will support senior R&D, Data Programme and AI colleagues while taking meaningful ownership of exploratory data analysis, data profiling, analytical prototyping and the measurement of data and AI products. You will join a small, hands‐on multidisciplinary team … workspaces, build reproducible analyses and create clear visualisations and summaries for technical and business audiences. Form and test hypotheses; identify where further data, enrichment, analysis or modelling could create additional value for an R&D product or business question. Support the development and evaluation of baseline statistical and machine ...

Role You'll be responsible for: Leading complex and ambiguous analytical problem spaces across multiple teams and business areas Developing hypotheses and using exploratory analysis to identify high-value opportunities Building rapid analytical prototypes and exploratory models to assess feasibility and potential impact Turning complex datasets … analysis into clear, actionable recommendations Partnering with Data Scientists, Product Managers and senior business stakeholders Helping move analytical opportunities from initial exploration into experimentation and modelling Establishing best practices around exploratory analytics, hypothesis development and rapid prototyping Mentoring other analysts and improving analytical capabilities across the wider team ...

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, customer insight and commercial understanding. Evaluate the performance of customer segments, markets, channels and product journeys, helping the team understand where growth opportunities and commercial trade-offs exist. Support decisions that improve key business outcomes, such as activation, conversion, repeat usage, retention, churn, customer lifetime value and revenue ...

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 ...

systems) Data Platforms: cloud-native architectures, data lakes, data warehouses Data Management: data modelling, integration, governance, and metadata systems Applied Data Science: statistical modeling, exploratory data analysis, and visualization Reproducible Data Workflows: versioning, documentation, and research data management Experience in the successful acquisition of third-party funding (research … with industry would be an advantage Responsibilities Provide university-wide teaching in foundational and advanced data-driven methods, including: Data Science Foundations (data handling, exploratory analysis, statistics) Programming for Data Analysis (e.g., Python/R data workflows) Data Engineering & Pipelines (ETL, data integration, distributed systems) Cloud Computing ...

Translate complex business challenges into scalable data products and machine learning models Own projects from exploratory analysis through production deployment Write complex SQL and engineer features Deploy baseline models quickly and iterate toward more complex solutions Manage the complete model lifecycle, including data extraction, feature engineering, deployment … analytical findings to non-technical stakeholders BS, MS, or equivalent experience in a quantitative field Preferred: experience taking initial machine learning models from exploratory notebooks to automated production pipelines Preferred: experience in customer behavior and propensity modeling, forecasting, optimization, or causal inference Core Competencies Demonstrates expertise in Data Science ...

Responsibilities Engage directly with business stakeholders, report owners, and customers to gather, analyze, and refine business requirements. Translate business requirements into SQL-based data analysis, reports, dashboards, and actionable insights. Perform root cause analysis and investigate data quality, reporting, and operational issues. Develop ad hoc analyses, prototypes, mock … Skills Strong expertise in SQL with the ability to write complex queries, troubleshoot issues, and perform advanced data analysis. Proficiency in Python for data analysis, data profiling, exploratory analysis, and rapid prototyping. Solid understanding of data modeling concepts , relational databases, and analytical data structures. Experience working with ...

build, and maintain secure, scalable backend services and REST APIs that enable metric consumption and power the user interfaceDefine and validate metric logic, perform exploratory and trend analysis, and translate findings into compelling dashboard narratives that inform engineering decisionsPartner with engineering teams, leaders, and stakeholders to align … query optimizationDemonstrated engineering practices including CI/CD pipeline implementation, automated testing, and code review standardsAnalytical capability to develop and validate metrics — including exploratory analysis, cohort and trend analysis, and anomaly detection — and translate results into clear visual narrativesEffective communication and stakeholder partnership skills, with the ability ...

engineering leads in Data Engineering, Analytics, ML, and AI. The role enables stronger clarity, alignment, and adoption of Digitalisation initiatives across DSM. Business Process Analysis Analyse end‐to‐end operational workflows, including manual steps, handoffs, approvals, exceptions, and rework loops. Combine process artefacts, interviews, and direct operational insight … into delivery‐ready initiatives. Discovery activities contribute to a measurable increase in Digitalisation pipeline quality and throughput. Required Skills & Experience Experience in business process analysis, operational analysis, or continuous improvement roles. Ability to map and clearly explain processes (BPMN, flow diagrams, or equivalent). Working knowledge ...

data solutions. Key Responsibilities Engagedirectly with business stakeholders, report owners, and customers togather, analyze, and refine business requirements. Translatebusiness requirements into SQL-based data analysis, reports, dashboards,and actionable insights. Performroot cause analysis and investigate data quality, reporting, andoperational issues. Developad hoc analyses, prototypes, mock-ups, and proof … Experience Technical Skills Strongexpertise in SQL with the ability to write complex queries,troubleshoot issues, and perform advanced data analysis. Proficiencyin Python for data analysis, data profiling, exploratory analysis,and rapid prototyping. Solidunderstanding of data modeling concepts , relational databases, andanalytical data structures. Experienceworking with Azure Data Platform ...

decisions through clear data storytelling. Responsibilities • Own laser print telemetry business insights for the Print Supplies organization, from problem framing and metric definition through analysis, visualization, and executive-ready recommendations. • Partner with stakeholders to clarify goals, translate business questions into analytical requirements, define critical KPIs, and deliver insights that … instrumentation, data collection methodology, and platform differences to ensure consistent interpretation across printer platforms. • Investigate data quality issues (completeness, accuracy, timeliness), perform root-cause analysis across pipelines and sources, and communicate impacts and remediation paths with appropriate caveats. • Enable self-service analytics by documenting dashboards and KPI definitions ...

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 … 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 ...

degree in Data Science, Mathematics, Statistics, Computer Science or another quantitative discipline Experience working through the full data science lifecycle, from problem definition and exploratory analysis through to implementation and monitoring Strong analytical thinking and the ability to identify the story behind the data Confidence communicating findings … Developing predictive models, forecasting solutions and analytical tools using Python and SQL Investigating business performance to uncover key drivers, risks and opportunities Translating complex analysis into clear, actionable recommendations Maintaining and enhancing Power BI reporting and dashboards used across Operations Collaborating with Data, Technology and Operations teams to deploy ...

role for someone who enjoys variety and has a critical eye for finding the right solution for the problem. Sometimes this may be exploratory analysis, a dashboard or a set of clearly defined metrics; in other cases, it may involve forecasting, statistical modelling, machine learning or building/… sharing approaches, reusable methods and good practice About you To be successful in this role you’ll need: Essential skills Experience applying data and analysis to real‐world business, engineering or operational problems. Strong analytical problem‐solving skills, with the ability to take an initially ambiguous question and determine ...

role for someone who enjoys variety and has a critical eye for finding the right solution for the problem. Sometimes this may be exploratory analysis, a dashboard or a set of clearly defined metrics; in other cases, it may involve forecasting, statistical modelling, machine learning or building/… sharing approaches, reusable methods and good practice About you To be successful in this role you’ll need: Essential skills Experience applying data and analysis to real‐world business, engineering or operational problems. Strong analytical problem‐solving skills, with the ability to take an initially ambiguous question and determine ...

role for someone who enjoys variety and has a critical eye for finding the right solution for the problem. Sometimes this may be exploratory analysis, a dashboard or a set of clearly defined metrics; in other cases, it may involve forecasting, statistical modelling, machine learning or building/… sharing approaches, reusable methods and good practice About you To be successful in this role you’ll need: Essential skills Experience applying data and analysis to real‐world business, engineering or operational problems. Strong analytical problem‐solving skills, with the ability to take an initially ambiguous question and determine ...

role for someone who enjoys variety and has a critical eye for finding the right solution for the problem. Sometimes this may be exploratory analysis, a dashboard or a set of clearly defined metrics; in other cases, it may involve forecasting, statistical modelling, machine learning or building/… sharing approaches, reusable methods and good practice About you To be successful in this role you’ll need: Essential skills: Experience applying data and analysis to real-world business, engineering or operational problems. Strong analytical problem-solving skills, with the ability to take an initially ambiguous question and determine ...

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 ...

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 research You’ll build and automate actionable models and dashboards You’ll craft data stories and share your findings and recommendations … based decisions Excellent SQL skills and experience of applying analytical and statistical approaches to problem solving Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision Excellent communication skills (technical and non-technical) and a focus on driving impact Strong growth ...

focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses … support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more ...

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 ...

Conduct Value Realisation Tracking: Continuously monitor and report on the actual business outcomes and ROI delivered by completed data projects and products Ad-Hoc Analysis, Triage & Intake Management The Data Product Partner is the first line of response for data questions from the business and plays a critical role … determining the right level of effort and ownership Conduct initial ad-hoc analysis where appropriate, including lightweight SQL queries, exploratory analysis in Looker as well as quick validations, sanity checks, and hypothesis testing Use this initial analysis to answer simple, time-sensitive business questions directly, clarify ...

data architectures by contributing analytical requirements and feedback. Communicate analytical findings clearly to non-technical stakeholders to inform strategy and operational improvements. Conduct exploratory analysis and limited prototyping to evaluate emerging data techniques relevant to training analytics. Ensure analytics processes comply with security, governance, and regulatory requirements. Author … security principles, governance frameworks, and MOD compliance standards. Strong SQL skills for querying and manipulating structured datasets. Proficiency in Python or R for statistical analysis, data wrangling, and automation. Experience building dashboards and visualisations using Power BI, Tableau, or equivalent BI tools. Advanced Excel skills for analytical modelling ...

into robust, scalable data products and machine learning models. You will be trusted to operate with high autonomy, owning your projects from the initial exploratory analysis through to production deployment. In this role, you will work closely with Product, Engineering, and Business stakeholders to deliver solutions that optimize … Economics, CS, Applied Math, etc.). Preferred Qualifications: 0-to-1 Execution: Experience taking the very first machine learning models in an organization from exploratory notebooks to reliable, automated production pipelines. Advanced Business ML (Experience in 1-2 of the following): Customer Behavior & Propensity Modeling: Building predictive models ...

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 ...