Top Data & Analytics Jobs

Analyze complex data, build self-service data solutions, and develop business intelligence tools, metrics, dashboards, and visualizations. Partner with business and technology teams to deliver strategic insights, manage data quality, metadata, lineage, definitions, security, and access governance. The role requires scripting, data querying, Snowflake development, business intelligence visualization, and experience with data management and governance.

Lead data engineering teams in designing, developing, testing, implementing, and supporting cloud-based data solutions. Build distributed, full-stack, machine-learning-enabled systems using Java, Scala, Python, relational and NoSQL databases, streaming technologies, and cloud data warehouses. Collaborate with product managers and Agile teams, conduct code reviews and unit testing, optimize performance, mentor engineers, and adopt emerging technologies and interactive AI tools.

Lead enterprise data risk analytics by defining and standardizing metrics, building dashboards and data products, monitoring trends, and delivering actionable insights to executives. Translate data policies into measurement frameworks, automate metric processes with AI, lead cross-functional initiatives, and mentor junior analysts. The role requires substantial data analysis, programming, business intelligence, stakeholder influence, and strategic data management experience.

Design, build, and maintain data solutions for Retail Bank. Mine varied data sources, develop BI dashboards and metrics, drive analysis for business insights, and enforce data quality, lineage, and governance working with tech teams and Snowflake/AWS platforms.

As a Lead Data Engineer, you will design and implement data solutions using big data technologies, collaborate with Agile teams, and mentor other engineers.

As a Senior Lead Data Engineer, you will design, develop, and support data solutions, optimize systems, and collaborate within Agile teams to leverage technology for business transformations.

The Lead Data Engineer will design, develop, and support complex technical solutions using Java, Python, AWS, and big data technologies. Responsibilities include collaborating with Agile teams, mentoring, and delivering cloud-based solutions.

The job involves leading a team to develop data-driven solutions, utilizing various programming languages and cloud technologies, while collaborating with Agile teams and mentoring junior members.

Lead validation of enterprise-wide analytical tools for risk management: plan and execute validation projects, assess methodology quality and tool risk, prototype best practices, communicate findings, and coach junior staff.

Build and maintain data solutions for risk products: mine diverse data, develop BI dashboards and metrics, perform analyses to inform strategy, enforce data quality/lineage/governance, and collaborate with tech teams on access and security. Support self-service frameworks and monitor data quality.