Top Data & Analytics Jobs

Build and operate production data pipelines and services integrating APIs, SFTP, files, databases, and cloud systems. Orchestrate workflows with Airflow and Google Cloud Composer, model data in BigQuery and Snowflake, support cloud infrastructure, and implement monitoring, data quality, security, governance, and production support practices. The role also involves incident resolution, documentation, testing, CI/CD, and collaboration with stakeholders and external providers.

Analyze internal and external data to identify trends, build targeted datasets for omnichannel marketing campaigns, and provide product, customer, segment, and business-unit recommendations. Develop and implement statistical response, performance, and lookalike models using Python and R. Create KPIs from multiple data sources and collaborate with internal teams to support campaign performance and decision-making.

Process and analyze datasets, develop and maintain Power BI and Cognos reports and dashboards, troubleshoot data issues, collaborate with stakeholders and technical teams, and document reporting processes. The intern will support business intelligence needs while pursuing a related college degree and working full-time in summer and part-time during the school year.

Build scalable analytics solutions for the Public Sector business, including dashboards, data models, tables, metric definitions, and ad hoc analyses. Own data quality, partner with Operations and Finance on efficiency and cost analysis, and translate complex findings into actionable insights. Drive cross-functional projects from ambiguity to completion while supporting planning, pricing, and business decision-making.

Supports administration, optimization, and daily operations of Salesforce Marketing Cloud and Sales Cloud. Designs SQL queries, audience segments, automation workflows, data pipelines, and customer journeys. Maintains CRM data architecture, governance, integrations, and data quality while performing campaign QA, deliverability monitoring, troubleshooting, and documentation. Partners with Marketing, Sales, Ticketing, Technology, and Data teams to deliver scalable, data-driven acquisition, engagement, and retention solutions.

Build and enhance Databricks-based platform capabilities and reusable data products for quantitative researchers and analysts. Develop and operate pipelines integrating heterogeneous data sources, while improving governance, automation, observability, security, and operational excellence. Define target-state platform architecture, evaluate emerging technologies, and use infrastructure as code, CI/CD, Apache Airflow, and AI-assisted development tools to accelerate prototypes into production.

Leads Northwest Bank’s enterprise data governance program, including data policies, quality rules, lifecycle management, metadata, master data, stewardship, governance tooling, and remediation. Facilitates Data Working Groups, investigates root causes, manages governance metrics and reporting, demonstrates tools, documents processes, and supports training. Partners across a matrixed organization to ensure data assets meet standards, controls, regulatory requirements, and business needs.

Own recurring performance reporting for institutional and private wealth clients, including client reports, presentation materials, consultant databases, and third-party portal updates. Validate and reconcile complex financial data, maintain process documentation, respond to performance inquiries, and support sales materials, meetings, RFPs, and ad hoc analyses. Collaborate across investment, marketing, finance, accounting, technology, and middle-office teams while improving reporting through standardization, automation, and AI-enabled tools.

Lead the architecture and technical direction of a cloud data platform spanning infrastructure, Databricks, CDC streaming, pipelines, data products, developer experience, and governance. Resolve cross-team technical challenges, establish platform standards, influence roadmaps, drive adoption, mentor senior engineers, and lead complex multi-squad initiatives with minimal direction.

Teaches undergraduate and graduate Business Statistics courses in face-to-face and online formats; develops and updates curricula, supports student success through mentoring and advising, and contributes to departmental, school, and university service. Candidates should demonstrate teaching potential or excellence in business statistics, practical experience in applied statistics or business analytics, and commitment to service.