8 of 8 Exploratory Analysis Jobs

decisions, guiding strategy. Reports to Director of Data, works alongside Product Data Analyst, Analytics Engineers, and Data Scientists. What you'll do: Use quantitative analysis and data storytelling to uncover user behaviour and inform product strategy Design and support experiments, generate hypotheses, foster continuous learning Define and align … gaps and foster strong relationships Champion unified data approach and stay current on analytics best practices Own problem spaces end-to-end, not just analysis - deliver outcomes Greenfield opportunity with full ownership, autonomy to identify right questions, design experiments, and drive revenue-impacting decisions. TECH STACK Database: SQL (essential ...

optimisation programme, helping to design and analyse tests to improve digital journeys. Working closely with product and senior stakeholders, you'll translate measurement and analysis into clear, compelling stories that influence strategy and shape the products we deliver. Key Responsibilities Customer Insights: Analyse digital customer behaviour to understand … success metrics, create forecasts, and contribute to team OKRs, ensuring progress is measured and communicated throughout the quarter. Experimentation: Support the design, implementation, and analysis of A/B and multivariate tests to validate ideas and optimise customer experiences. Exploratory Analysis: Carry out proactive ...

consumer-facing application. Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to extract ...

Power Platform apps and automations that support business efficiency and self-service capability. - Build and maintain API integrations with third-party systems. Data Engineering & Analysis - Ingest, transform, and prepare structured and unstructured data. - Implement data quality, metadata, and lineage standards within Microsoft Fabric. - Support data science activities (exploratory analysis, feature engineering, modelling support). - Create scalable datasets and semantic models for business reporting and analytics. Security, Architecture & Best Practice - Ensure all solutions adhere to security-by-design, including access control, data protection, and secure integration patterns. - Contribute to IT security strategy, including Microsoft cloud security, identity ...

bring: Minimum of two years’ experience in a data science, machine learning, or similar role Strong Python (including PySpark) and SQL skills for data analysis, feature engineering, and modelling Experience building and deploying end-to-end predictive models from scoping through validation and stakeholder communication Hands-on experience deploying … cloud environment (Azure experience highly desirable) Experience building CI/CD workflows (e.g. GitHub Actions) and supporting robust MLOps practices Responsibilities: Lead data analysis and predictive modelling initiatives to improve customer acquisition, retention, pricing, and engagement Extract, prepare, and process data from multiple sources to create high-quality, model ...

data quality control solutions · Present and communicate processes, insights & findings to colleagues and clients · Produce answers in days, not months, and work by exploratory analysis and rapid iteration · Guide and mentor data engineers, review their work and ensure it meets i3Data’s quality standards · Share knowledge with ...

Senior Data Scientist in their Trading & Operations function, with deep experience leading high‐impact data science projects end‐to‐end, from problem framing and exploratory analysis through modelling, experimentation and working with MLE. You’ll collaborate with data engineering, platforms, web, messaging, analytics, marketing, risk and product. This … business problems Strong grounding in statistics, experimentation and analytical reasoning Proven experience building predictive models and taking them to production Ability to communicate complex analysis clearly to non-technical stakeholders Comfortable working with imperfect, large-scale data in a fast-moving environment Strong Python and SQL skills Cloud experience ...

degree in a related field like Data Science, Computer Science, Mathematics, Statistics etc. You'll also need to be skilled in data preparation, exploratory analysis and visualisation. Having experience with Machine Learning is beneficial as you'll contribute towards experimentation, validation and structured analytical work. You must ...