Top Data & Analytics Jobs

Build and maintain scalable data models, pipelines, ETL workflows, and streaming solutions using dbt, PySpark, AWS Glue, Databricks, and Kafka. Apply software engineering practices including testing, version control, code reviews, and integration. Partner with data scientists, stakeholders, and data stewards to improve data quality, governance, accessibility, and reliability. Translate requirements into development plans and Jira stories while collaborating on data strategy, tooling, integrations, and deployments.

Build and maintain data transformation logic, data models, quality checks, documentation, reports, and dashboards using SQL and analytics engineering practices. Collaborate with engineering, analytics, and business stakeholders to translate requirements into reliable, actionable data that supports enterprise intelligence and AI capabilities.

Designs and delivers scalable analytics engineering solutions using dbt, SQL, Python, Databricks, and BigQuery. Responsibilities include dimensional modeling, transformation pipelines, data products, testing, monitoring, governance, CI/CD, semantic-layer development, and performance optimization. The role owns data products end to end, collaborates with stakeholders and data teams, improves engineering standards, and mentors junior engineers. Preferred experience includes AI-assisted pipeline development, observability, data catalogs, lineage, graph models, and financial services.

Designs and owns scalable analytics engineering solutions, including dbt transformation pipelines, dimensional models, data products, testing, governance, deployment, and monitoring across Databricks, PostgreSQL, and BigQuery. Develops advanced SQL and Python transformations, optimizes performance, improves CI/CD and SDLC practices, builds semantic-layer metrics, and contributes to AI-enabled pipeline automation. Collaborates with stakeholders, data scientists, ML engineers, data stewards, and integration teams while mentoring junior engineers.

Leads product analytics and partners with product and executive leadership to guide strategy, roadmap prioritization, experimentation, and optimization. Translates customer and business questions into measurable outcomes, analytical roadmaps, segmentation, funnel and cohort analyses, and evidence-based recommendations. Owns product measurement frameworks, dashboards, data quality, instrumentation, and governance while communicating insights, trade-offs, and actions to senior stakeholders.

Summer interns support business analytics and digital transformation initiatives by building dashboards, analyzing datasets, developing visualizations, researching digital product enhancements, and assisting with automation and process improvement. The role involves translating data into actionable insights, collaborating with professionals, and using technology to support business decisions. Candidates must be enrolled in an accredited four-year institution and graduate between December 2027 and May 2030.

Advances enterprise data governance by maintaining metadata, glossaries, taxonomies, catalogs, lineage, and stewardship workflows. Supports data classification, quality checks, lineage validation, and governance policies while partnering with data product managers, business SMEs, and engineers. Drives adoption through training and playbooks, contributes to Agile delivery using Jira, and helps improve data discoverability, compliance, and trust across the organization.

Leads enterprise data analytics and insights initiatives, using statistical modeling, predictive analytics, dashboards, and performance metrics to guide strategic decisions. Partners with Digital Services, Operations, Product, Technology, and executive stakeholders to establish objectives, identify opportunities, optimize performance, and drive data-informed decision-making. Manages cross-functional analytics projects, communicates recommendations to leadership, and mentors team members.

Leads customer insights management for Insurance Operations, translating customer, experience, and operational data into executive recommendations. Oversees KPIs, reporting, research, journey mapping, customer analytics, root-cause analysis, AI-enabled insights, and cross-functional improvement initiatives. Shapes the customer experience strategy and roadmap, manages team priorities and resources, leads strategic projects, and develops team capabilities through coaching and cross-training.

Build and maintain dbt data models and pipelines, implement real-time ingestion with PySpark and AWS Glue, and process distributed data in Databricks. Apply software engineering practices, review Git pull requests, partner with data scientists and stakeholders, translate requirements into Jira stories, and support data governance, quality, integrations, and deployment across the enterprise.