Top Senior Data & Analytics Jobs

Own high-impact data products, ingestion pipelines, and granular data feeds end to end. Analyze massive datasets to answer client and stakeholder questions, ensure data accuracy, and derive actionable insights. Improve products and pipelines by developing methodologies, scaling third-party datasets, and creating data modules. The role requires clear communication, attention to detail, methodical problem solving, prioritization, experimentation, and strong ownership. Training includes SQL, PySpark, Python fundamentals, and internal tools.

Lead Customer 360 data engineering initiatives across Customer and Sales domains. Design data integration, ingestion, curation, governance, quality, harmonization, and common data models. Build scalable cloud-based data capabilities and integration pipelines while supporting data products, use cases, and analytics. Collaborate with business owners, regional partners, and technology teams to define strategy, roadmaps, prototypes, and MVPs, serving as a subject matter expert in Customer 360 data.

Design and apply operations research, forecasting, simulation, and statistical models to solve airline operational problems. Build and automate data pipelines, dashboards (Power BI/Tableau), and reports; analyze large datasets, present executive-ready recommendations, and partner with operational teams to improve reliability and efficiency.

The Senior Power BI Consultant will design complex data models, create dashboards, optimize DAX formulas, and provide strategic consulting while collaborating with teams and clients.

Leads Commercial Markets Operations intelligence, business intelligence, analytics, reporting, dashboards, and strategic information initiatives. Manages analysts, develops performance metrics, oversees operational reporting, supports executive decision-making, and drives process improvement. The role also manages resource planning, budgets, stakeholder alignment, SharePoint stewardship, and adoption of innovative information solutions across Sales Operations and Commercial Markets.

Support commercial strategy by analysing customers, markets, offerings and processes. Build dashboards and visualisations, define KPIs, gather CRM requirements, present insights, and collaborate with data scientists and engineers to deliver analytics-driven recommendations.

Design and deliver Power BI, SAC, and Tableau dashboards and reports; analyze structured, semi-structured and unstructured data; build models and experiments to uncover insights; translate business needs into actionable visualizations; collaborate with IT, vendors, and commercial teams to scale reporting.

Design, build, and operate an end-to-end data product supporting Sales across Europe. Develop and maintain Azure-based data pipelines, implement reporting layers (e.g., Power BI), ensure production readiness with monitoring and documentation, and partner with Sales, Finance, Data Scientists, and analysts to deliver reliable, scalable data solutions.

Partner with customers and sales to design and present scalable Databricks Lakehouse architectures, build reference architectures and demos, consult on big data, ETL, and ML projects, validate integrations, and drive technical wins and adoption across accounts.

The Senior Biostatistician leads statistical input for clinical trials, ensuring scientific rigor and regulatory compliance, while collaborating with cross-functional teams.