Top Data & Analytics Jobs

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 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.

Lead Data Engineer responsible for designing, developing, testing, and supporting cloud-based data solutions for Risk Tech. Collaborate with Agile teams to build distributed, real-time data and streaming systems using big data tools, data warehouses, RDBMS/NoSQL, and mentor engineering peers while ensuring performance and code quality.

Lead design, develop, test, implement, and support cloud-based data solutions. Collaborate across Agile teams on distributed systems, streaming, data warehousing, and big data tooling. Mentor engineers, perform unit tests and code reviews, and deliver scalable data platforms to support ML and product teams.

Lead Data Engineer designing, developing, testing, and supporting cloud-based data solutions. Collaborate with Agile teams on distributed microservices, machine learning pipelines, data warehousing, streaming, and RDBMS/NoSQL systems. Mentor engineers, review and unit-test code, and deliver performant solutions using cloud and big-data technologies.