Top Tech Jobs & Startup Jobs

Manages custom quantitative research projects from proposal through completion, including methodology design, data collection, statistical analysis, interpretation, budgeting, and client presentations. Collaborates with cross-functional teams, manages stakeholder relationships, tracks deadlines, and ensures high-quality delivery. The role also involves mentoring junior researchers, developing tailored research proposals, and applying advanced techniques such as segmentation, MaxDiff, conjoint analysis, and driver modeling.

Identify, qualify, and nurture inbound and outbound leads through calls, email, and social media. Research target accounts, tailor outreach, schedule appointments for Account Executives, maintain Salesforce records, collaborate with marketing, meet pipeline targets, and report sales activity. The role offers progression toward junior sales responsibilities while developing expertise in YouGov’s products, data, and sales processes.

Own methodology quality control, data health monitoring, anomaly investigation, and change impact assessment for syndicated survey products. Build automated pipelines, alerting tools, and reproducible monitoring frameworks using statistical methods and code. Collaborate with Data Operations, Engineering, Product, Commercial, and Client Services teams to resolve issues, govern methodology changes, document decisions, and communicate statistical findings clearly.

Build and maintain scalable data pipelines using Python and Airflow; transform, model, and validate data for downstream analytics users. Implement monitoring, logging, alerting, testing, and quality controls. Optimize cloud data systems for performance and cost, contribute to architecture and infrastructure-as-code decisions, and document processes. Collaborate with analytics engineers, analysts, and data scientists while supporting reliable enterprise data warehouses.

Build and maintain Python web applications, REST APIs, and agentic AI solutions using LLMs, RAG, tool calling, and multi-step workflows. Integrate AI providers and agent frameworks, connect applications to APIs and databases, create simple front ends, and test, monitor, document, and deploy solutions using Docker, CI/CD, and cloud platforms. Collaborate with global stakeholders through Agile delivery, code reviews, release management, and ongoing technical ownership.

Create, update, and support internal questionnaire applications for YouGov Shopper. Monitor processes and ticketing systems, implement application features, maintain dataflows, script dialogs, perform data quality assurance, and improve existing code and documentation. The role also involves supporting software deployments, resolving tickets, and collaborating with teams to develop customized technical solutions.

Develop and maintain BI dashboards, reports, data models, and automated reporting pipelines. Use Python, SQL, DAX, and data warehousing techniques to transform and validate market research data. Apply AI and LLM capabilities for natural-language querying, insight generation, anomaly detection, and analytics automation. Gather BI requirements, define KPIs, ensure data quality, document solutions, resolve dashboard issues, and communicate project progress to stakeholders.

Tests code changes, releases, deployments, and software functionality through manual, exploratory, regression, and growing automated testing. Reproduces and analyzes user-reported issues, distinguishes defects from configuration or data problems, documents findings, supports release sign-off, and collaborates with developers, product managers, IT, and end users. The role also improves test coverage, quality processes, release checklists, and automation frameworks integrated with CI/CD pipelines.

Build and maintain dbt data models, Snowflake architecture, dashboards, reporting, and data quality frameworks. Partner with stakeholders to define KPIs, translate business requirements into technical solutions, and deliver reliable analytical datasets. Document models and workflows while supporting scalable analytics infrastructure. The role requires SQL, Python, dbt, cloud data warehouse, reporting, and stakeholder management experience.

Build and operate high-volume Python services and applications across their full lifecycle. Design reliable distributed systems, write automated tests, participate in architecture and incident response, improve platform reliability, and address technical debt. Collaborate with product, design, data, and engineering teams; guide junior engineers; and use AI coding assistants responsibly in development, testing, debugging, and documentation.