Top Data & Analytics Jobs

Own the analytics lifecycle from data ingestion, ETL, modeling, orchestration, validation, and warehousing through BI dashboards and actionable insights. Build SQL/Python analyses and automation, define trusted metrics, quantify customer ROI, improve data quality, and support customer-facing presentations. Prototype machine learning models for product and business problems while designing scalable analytics infrastructure and partnering with Product, Engineering, and CX teams.

Own and evolve Worldly’s production data lake, Postgres warehouse, CDC and streaming pipelines, dbt transformations, orchestration, BI access controls, and graph integrations. Maintain reliable, governed analytics infrastructure using Iceberg, Trino, Dagster, Terraform, and AWS. Support production generative AI workflows involving embeddings, similarity search, extraction, and classification. Responsibilities include data quality, monitoring, security, incident response, disaster recovery, schema governance, and collaboration with data science and analytics stakeholders.

Leads customer data strategy and solution design across loyalty, personalisation, and marketing technology. Oversees a team of three Audience Specialists, develops scalable data capabilities, and works hands-on with SQL, data platforms, segmentation, and audience activation. Partners with Architecture and business stakeholders to deliver initiatives, maintain the customer data roadmap, and support AI-enabled personalisation. Champions data governance, privacy, responsible data use, and commercial outcomes including Voice of Customer and NPS.

Provides database engineering and Oracle DBA support for complex, distributed intelligence systems. Responsibilities include database architecture, design, administration, migration, replication, backup and recovery, performance tuning, security, schema development, scripting, requirements analysis, documentation, and technical issue resolution. Collaborates with engineering, testing, security, management, and customer teams in an Agile environment, supporting high availability, capacity planning, system optimization, and quarterly PI Planning activities.

Lead research on the macroeconomics of AI by authoring flagship reports, building quantitative forecasting models, integrating bottom-up semiconductor and datacenter data into macro estimates, developing LLM-driven research pipelines, performing econometric analysis, and communicating findings to investors, policymakers, and the public.

Analyze and manipulate large datasets supporting energy modeling and SEM programs. Review data before and after modeling, maintain standardized templates and databases, integrate data into statistical software, quality-control models and reports, and create work instructions. The role also involves automating data processing, troubleshooting Visual Basic and Excel tools, managing Smartsheet data, supporting benchmarking reports, and collaborating with internal teams and occasional clients.

Builds and maintains enterprise datasets, semantic models, Power BI and Microsoft Fabric reporting solutions, forecasting models, dashboards, and automated analytics. Partners with Finance, Operations, and IT to translate requirements into decision-support tools. Ensures data quality through validation, reconciliation, and monitoring while improving reporting governance and analytical methodologies. Uses SQL, Python, AI, and automation technologies to streamline business processes and deliver reliable insights.

Develops and leads end-to-end business intelligence, reporting, analytics, database, data warehouse, and data modeling solutions. Translates business requirements into dashboards, reports, metrics, scorecards, and management insights. Partners with internal stakeholders and leadership, supports healthcare and managed care data initiatives, resolves complex issues, manages multiple projects, and provides technical guidance, training, and coaching to colleagues.

Manage Oracle database systems by installing, configuring, securing, monitoring, optimizing, and maintaining availability and performance. Responsibilities include backup and recovery, disaster recovery, user access management, storage allocation, capacity planning, troubleshooting, and collaboration with development teams. The role requires 5+ years of Oracle DBA experience and eligibility for Public Trust clearance, with PostgreSQL and healthcare IT experience preferred.

Develops marketing dashboards, reports, and measurement capabilities to analyze customer behavior, campaigns, promotions, media, and demand. Uses SQL, BI tools, segmentation, forecasting, scenario modeling, and media mix modeling to optimize marketing spend and improve conversion, loyalty, revenue, and ROI. Collaborates with marketing leadership and cross-functional stakeholders to deliver actionable insights, automate KPIs, and support strategic planning.