Top Data & Analytics Jobs

Perform impact and gap analysis for Apple Maps, design and monitor source staging workflows, execute and troubleshoot SQL in PostGIS, transform tabular and geospatial data, produce concise issue documentation, and support map editing and quality/delivery processes.

Drive data-led growth for US loans: analyze and optimize acquisition channels, design price tests, forecast and allocate volume, validate commercial hypotheses, and implement changes using SQL and analytics tools.

Manage and troubleshoot NiFi dataflows and clusters, support Elastic cluster deployment and Kibana dashboards, perform system integration, upgrades, and light Python scripting for large-volume data ingestion and analytics.

Analyze platform and third-party measurement data to identify inconsistencies and actionable insights. Use SQL and Python to run analyses, design/evaluate incrementality tests and MMM/MTA studies, build tracking frameworks, and communicate findings to stakeholders to improve campaign performance and advertiser ROI.

Analyze gameplay telemetry, player feedback, and research findings to identify trends and friction points. Build dashboards and reports, partner with analytics and development teams to ensure telemetry quality, translate complex data into actionable insights, and collaborate with User Research to connect quantitative and qualitative findings to inform design and production decisions.

Manage and maintain Salesforce CRM data quality for direct mail and outreach campaigns; configure campaigns, suppression lists, and NCOA processes; build and maintain Salesforce reports and dashboards; perform ongoing data cleansing, de-duplication, validation and support cross-functional data requests.

Lead enterprise data architecture and ontology development, design logical and physical data models, drive cross-system integration and data governance, define strategies for unstructured data, optimize performance and scalability, mentor database developers, and align stakeholders on enterprise-wide data standards.

Lead SAP Data Migration activities for enterprise transformation projects, ensuring data quality, governance, and compliance while collaborating with cross-functional teams.

Own design, build, and reliability of a cloud-native data lakehouse (Bronze->Silver->Gold). Build scalable ETL/ELT pipelines (ADF, Airflow), optimise Snowflake, develop dbt models, embed data quality/observability (Elementary), manage ADLS Gen2 and Azure serverless components, and drive infra-as-code, CI/CD, and cross-team collaboration.

The Data Modeler will design and develop data models, utilize data modeling tools, and ensure data quality in Property and Casualty industry products.