Top Data Analyst Jobs in Bristol

Analyze large datasets to detect financial crimes, support investigations, and develop prevention strategies while collaborating with compliance teams and presenting findings to senior management.

As a Data Analyst, Product at Kraken, you'll transform complex product data into actionable insights, manage data solutions, and support decision-making in a remote environment, focusing on user experience and growth.

The role involves supporting performance analytics by managing historical data, enhancing Hive platform capabilities, and delivering insights to clients in the Energy & Natural Resources sector.

The Data Analyst, Growth will analyze marketing data to deliver actionable insights, design dashboards, automate reporting, and support cross-functional projects to improve client acquisition and retention.

The Finance Systems Data Analyst supports the Finance organization by ensuring data accuracy across SAP and Snowflake, optimizes data flows, automates reporting, and enhances financial decision-making.

The Finance Systems Data Analyst ensures accuracy and accessibility of financial data across SAP and Snowflake, optimizing data flows and reporting.

As a Principal Data Analyst at Airalo, you'll drive product analytics by defining success metrics, designing experiments, and analyzing user behavior to influence product strategy and connect metrics to revenue outcomes.

The Platform Data Analyst will enhance visibility and performance optimization of Runware's media AI platform through analytics, monitoring, and reporting. Responsibilities include tracking performance, building dashboards, and collaborating with engineering and DevOps teams to improve observability and reliability.

The Market Data Analyst will oversee data quality and operations for metals and minerals, monitor market trends, support clients, and improve data workflows using SQL and Python.

Lead the marketing measurement strategy for Airalo, including Marketing Mix Modeling, incrementality testing, and attribution methodologies. Collaborate across teams to drive data-informed decisions and optimize marketing spend in a global context.

As a Senior Data Science Analyst in Audit, you'll leverage data science techniques to evaluate control effectiveness, support audit plans, and drive innovation within the audit team.

As a Data Analyst III, you will analyze data, create visualizations, and provide insights using AI tools to support business decisions while collaborating with stakeholders.

As a Data Analyst at Thrill Labs, you will analyze datasets to provide insights, develop dashboards, and collaborate with teams to drive product and operational strategies.

The Senior Data Analyst at AJ Bell delivers analytical insights, supports cloud transformation, champions AI adoption, and mentors junior analysts while engaging stakeholders and ensuring data governance.

The Senior Research Data Analyst conducts statistical analyses in health outcomes research, develops analysis plans, and supports study operations, including protocol development and literature reviews.

The P3M Data & Reporting Analyst will support digital transformation by developing data-driven solutions for project management, creating dashboards, integrating data, and enhancing reporting capabilities.

The UFH Data Product Analyst will accelerate fragrance innovation by managing data products, facilitating data capture, and translating insights for R&D and business teams.

The Data Product Analyst designs and manages data products for insurance domains, ensuring they meet analytical and compliance standards while collaborating with cross-functional teams.

Lead RWD analysis strategy and execution: develop technical specifications and statistical programs, perform complex observational analyses (propensity scoring, ML), validate cohorts/variables, ensure QC, collaborate cross-functionally, and communicate results to non-technical stakeholders.

The Director Analyst focuses on data integration and engineering, providing insights, advice, and research to help organizations improve their data practices and strategies.

Lead high-complexity analytics projects: partner with stakeholders, prepare and blend large datasets, apply intermediate statistics, build models and visualizations, deliver insights, and mentor junior analysts.

The role involves programming and data review for real-world data analysis, supporting epidemiologists, and managing complex data sets using statistical programming languages and tools.