11 of 11 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 ...

Doing Data Preparation and Engineering Collect, clean, and validate data from sensors, internal systems, APIs, and files. Build structured, reproducible datasets for analysis and modelling. Identify and resolve data quality and integrity issues. Exploratory Analysis and Insight Generation Perform exploratory data analysis to identify trends ...

Required Skills U.S. Citizenship required Active Secret Security Clearance (required; must be maintained) Strong knowledge of data analytics concepts including data modeling, validation, and exploratory analysis Proficiency in SQL or similar query languages Advanced experience with Microsoft Power BI (dashboards, reports, data models) Experience with Power Query ...

Clinical Data Scientist to support the final stages of its clinical data pipeline. This role focuses on transforming complex clinical datasets into clean, standardized, analysis ready deliverables for use in clinical research and regulatory submissions. The ideal candidate is detail oriented, technically versatile, and passionate about delivering high quality … Delivery Convert raw, manually abstracted, and AI processed clinical data into standardized formats (e.g., CDISC SDTM/ADaM) or client specific data models. Build analysis ready datasets from diverse sources including EMRs, EDC systems, and internal abstraction tools. Statistical Programming & Reporting Develop and generate Tables, Listings, and Figures (TLFs ...

Clinical Data Scientist to support the final stages of its clinical data pipeline. This role focuses on transforming complex clinical datasets into clean, standardized, analysis ready deliverables for use in clinical research and regulatory submissions. The ideal candidate is detail oriented, technically versatile, and passionate about delivering high quality … Delivery Convert raw, manually abstracted, and AI processed clinical data into standardized formats (e.g., CDISC SDTM/ADaM) or client specific data models. Build analysis ready datasets from diverse sources including EMRs, EDC systems, and internal abstraction tools. Statistical Programming & Reporting Develop and generate Tables, Listings, and Figures (TLFs ...

Clinical Data Scientist to support the final stages of its clinical data pipeline. This role focuses on transforming complex clinical datasets into clean, standardized, analysis ready deliverables for use in clinical research and regulatory submissions. The ideal candidate is detail oriented, technically versatile, and passionate about delivering high quality … Delivery Convert raw, manually abstracted, and AI processed clinical data into standardized formats (e.g., CDISC SDTM/ADaM) or client specific data models. Build analysis ready datasets from diverse sources including EMRs, EDC systems, and internal abstraction tools. Statistical Programming & Reporting Develop and generate Tables, Listings, and Figures (TLFs ...

Clinical Data Scientist to support the final stages of its clinical data pipeline. This role focuses on transforming complex clinical datasets into clean, standardized, analysis ready deliverables for use in clinical research and regulatory submissions. The ideal candidate is detail oriented, technically versatile, and passionate about delivering high quality … Delivery Convert raw, manually abstracted, and AI processed clinical data into standardized formats (e.g., CDISC SDTM/ADaM) or client specific data models. Build analysis ready datasets from diverse sources including EMRs, EDC systems, and internal abstraction tools. Statistical Programming & Reporting Develop and generate Tables, Listings, and Figures (TLFs ...

similar analytics platforms Proficient in preparing and validating real-world datasets, including cleansing, handling missing or duplicate records, standardising inputs, and performing exploratory analysis using Excel Experience working with structured business data from enterprise systems such as ERP and CRM platforms, with an understanding of data relationships, master … with the ability to take ownership of work and see it through to completion Structured thinker with a logical approach to problem-solving and analysis Open to feedback and continuous improvement, with a growth mindset Desirable certifications (Microsoft Power BI Data Analyst, Microsoft Fabric Analytics Engineer Associate, Microsoft Fabric ...

incremental, deliverable features that can be released and iterated over time. Support Product Managers with impact assessment, sizing and prioritisation of enhancement opportunities. Data Analysis & Insight Analyse large, complex datasets within Databricks to identify opportunities for product improvement, new data source evaluations or new features. Proactively evaluate existing attributes … models and outputs to identify improvements in accuracy, coverage, performance or usability. Design and run exploratory analysis to test hypotheses and inform product decisions. Define success metrics and measure the impact of released product changes. Platform & Data Enablement Work closely with Data Engineering to convert analytical prototypes into ...

real time, support forecasting, and shape commercial strategy. Their work is deployed in production code and has direct commercial consequences – it's more than exploratory analysis. The function is now embedding AI into how that work gets done. Successfully leading it will require close collaboration with engineering, product ...

reporting layers using modern BI tools Translate commercial questions into clear, actionable insights Partner with stakeholders to define KPIs and reporting requirements Conduct exploratory analysis to identify trends, opportunities, and risks Bring structure and scalability to existing ad hoc reporting processes Work closely with a Data Engineer … data platform evolves YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: Strong commercial experience using SQL for analysis and data modelling Proven ability to design structured datasets for reporting and insight Experience building dashboards in at least one modern BI tool, with adaptability ...