Top Analyst Jobs in Bristol

Lead ICP definition, account scoring, and account/contact strategy to prioritise sales efforts. Build scoring models, design tiering and territory recommendations, govern enrichment/data strategy, track market signals, and partner cross-functionally with Sales, Marketing, and Enablement to improve targeting, conversion, and go-to-market execution.

Lead strategic analysis of marketing programs and channels to connect marketing to revenue. Deliver actionable insights to improve lead quality, conversion, acquisition and retention. Build measurement frameworks with Growth, Sales Ops, RevOps, and Finance. Translate data into executive recommendations, champion standardized reporting, and develop scalable systems for performance measurement and budget allocation.

Manage and improve the marketing database to enable precise audience segmentation and campaign targeting. Build and maintain audience segments, gather marketer requirements, collaborate with marketing and data teams, ensure data quality and GDPR compliance, process incoming lead data, and provide training and support to marketing stakeholders to maximize database utilization and campaign performance.

As a Product Operations Analyst, you'll manage customer accounts, analyze data for product improvements, coordinate between teams, and contribute to operational excellence.

Transform operational data into actionable insights by building semantic models, reporting solutions and metrics (Power BI/Fabric, DAX, M, SQL). Ensure data quality, governance, access controls, troubleshooting, documentation, and stakeholder collaboration to enable self-service analytics.

Investigate complex, high-risk financial crime and AML cases across business accounts. Make risk-based onboarding, due diligence, and monitoring decisions; identify suspicious activity and recommend STR escalations. Act as an SME advising operational teams, partner with product and risk to improve controls, support change delivery, training, quality improvements, and handle complex escalations. Role requires shift flexibility and initial mandatory training.

Lead FP&A activities including consolidation of budgets, forecasts and long-range plans; produce weekly/monthly/quarterly Group performance reports; deliver variance analysis and scenario financial models; present insights to senior stakeholders and support Executive/Board materials; drive continuous improvement in planning, reporting and forecasting processes while partnering across business units.

Own and improve data quality, coverage, and methodologies for dirty petroleum products. Lead investigations, validation, ingestion, and backtesting. Coordinate with Product, Engineering, and Commercial teams, mentor junior analysts, and drive initiatives to enhance data granularity and accuracy across flows and geographies.

Partnering with Online Fulfilment Operations, own financial performance, provide analytics-driven insights, build business cases and post-investment reviews, identify risks and opportunities across fulfilment, and influence senior stakeholders to drive commercial outcomes and efficiencies.

The Senior Analyst, Revenue Management will design and maintain scalable reporting and data solutions, utilizing AI tools and AWS for efficient data analysis and decision-making across the organization.

Designs and deploys supervised machine learning classifiers using curated patent data, conducts desk research on technologies, scopes and defines client classifier taxonomies, supports customer meetings and data review, and delivers ad-hoc analysis and presentations as projects progress.

Analyze, validate, and troubleshoot financial and operational data to produce decision-grade insights. Build and maintain budgeting, forecasting, and financial models; develop dashboards and reports; perform variance and root-cause analysis; partner with finance and operational stakeholders to improve data quality, reporting, and automation.

Conduct horizon scanning and policy analysis to identify regulatory and commercial opportunities across industries. Perform qualitative and quantitative research, stakeholder engagement, competitor and regulatory monitoring, and translate findings into evidence-based strategies and product development proposals to support growth.

Lead research and analysis of the enterprise AI services market, build market-sizing and forecasting models, publish thought leadership, advise C-level clients, present at events, support sales and peer review, mentor junior analysts, and drive research process improvements to deliver actionable insights on AI services and competitive dynamics.

Monitor payment flows and KPIs across PSPs, manage incidents end-to-end in Jira, perform root-cause analysis, maintain runbooks, coordinate with internal teams and vendors, produce KPI and vendor performance reports, and use AI tools to streamline operations and surface anomalies.

Prepare UK Group corporate tax returns using OneSource, manage POAs and PAYE settlements, prepare tax provisions for US GAAP and UK statutory accounts, support tax governance and UK tax authority relationships, drive process improvement and automation, and undertake ad-hoc projects to develop international tax expertise.

Apprenticeship role supporting asbestos bulk sample preparation and analysis in a UKAS-accredited laboratory. Duties include logging, handling and storing samples, using microscopes and lab equipment, assisting quality control, generating reports, and maintaining lab records while completing RSPH Level 3 asbestos training and off-the-job learning.

Review, evaluate, and annotate AI-generated text, image, audio, and video in Simplified Chinese. Perform quality checks, identify edge cases, participate in calibration, and provide feedback to improve annotation guidelines and datasets for generative AI models.

The role involves eliciting and managing business and technical requirements, translating complex needs into structured artefacts, and collaborating with architects for Defence-wide projects.

As a Senior Pricing Analyst at Ayvens, you will manage vehicle portfolio performance, analyze residual values, and optimize pricing strategies. You’ll lead communication with auditors, conduct data analysis, and develop reporting tools to support data-driven decision-making.

The Senior Web3 Data Analyst will manage web3 analytics, monitor on-chain activity, analyze competitor metrics, and deliver insights for product and leadership teams.

Use SQL and Python to analyse transaction monitoring and fraud rule performance, identify patterns and anomalies, reduce false positives, and prioritise high-risk cases. Partner with FinCrime, Product, Compliance and Data teams to improve controls, data pipelines and detection logic, support scoring and future ML use cases, and translate analysis into actionable recommendations that balance fraud prevention with customer friction.

The Lead BI Analyst will collaborate with cross-functional teams, leveraging data to drive insights and strategic decision-making to enhance business performance.

Own end-to-end QA for AI SMS bot and call-training system: review production conversations, create JSON test files, edit Markdown knowledge base (WRONG/RIGHT examples), run test suites, verify fixes, and maintain knowledge base. Operate existing infrastructure using CLI and Git, and write realistic conversational examples and pass/fail criteria.

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.