Top Data & Analytics Jobs

Design, develop, test, implement, and support cloud-based data solutions. Lead and mentor engineering teams, build distributed and streaming data pipelines using big data technologies, collaborate with product managers, and ensure code quality and performance.

Lead Data Engineer responsible for designing, developing, testing, implementing, and supporting cloud-based data solutions. Collaborate across Agile teams, work with distributed systems, big data and streaming tools, data warehousing, and mentor engineers. Ensure code quality via unit tests and performance tuning, and partner with product managers to deliver scalable data experiences.

Lead design, develop, test, implement, and support cloud-based data solutions and pipelines. Collaborate across Agile teams, mentor engineers, use big data and distributed tools (Spark, Kafka, Hadoop), RDBMS/NoSQL, and cloud data warehouses (Redshift, Snowflake) to deliver performant systems that enable ML and product experiences.

The Manager of Data Analysis leads a team to leverage analytics for improving customer experience, driving strategy, and implementing data models. Responsibilities include data mining, process improvement, and project lifecycle management, all within a collaborative environment.

Design, build, and maintain data solutions to support enterprise risk decisions. Partner with business stakeholders to create dashboards and analyses, apply scripting for data processing, ensure data quality, lineage, and governance, and collaborate with tech teams on security and access.

Lead data analytics for the Hotels Travel Agency team: define KPIs, build dashboards, run A/B tests, conduct deep-dive analyses, troubleshoot tracking and data quality, and partner with product and engineering to improve data models and accessibility.

Lead strategy and analytics for Emerging Payments: develop product and pricing strategies, run analytics and credit risk modeling, manage 1-2 analysts, drive marketing and experimentation, execute business requirements, partner cross-functionally, and communicate insights to senior stakeholders to improve growth and profitability.

Lead data analysis and build/manage data solutions using scripting and open-source tools. Partner with business to create dashboards and drive insights. Manage data quality, metadata, lineage, governance, and collaborate with tech teams on security and access. Develop monitoring tools and support self-service data capabilities.

Lead and mentor a data engineering team to design, develop, test, and support cloud-based big data and streaming solutions. Build full-stack data pipelines using Java/Scala/Python, RDBMS/NoSQL, Redshift/Snowflake, and cloud platforms. Collaborate with product managers, perform unit tests and code reviews, and promote engineering best practices and tech community engagement.

Lead validation of enterprise analytical tools: refine frameworks, plan and execute validation projects, assess methodology quality and risk, prototype best practices, communicate findings, and coach junior staff while influencing business strategy.