Top Data & Analytics Jobs

Leads Mod Op’s Data and Marketing Technology team, overseeing people management, marketing technology strategy, client and partner engagements, team training, and technical guidance. The role connects data engineering and analytics with marketing needs, guiding work across Salesforce, Adobe, Adobe Journey Optimizer, CRM, CDP, cloud data platforms, campaign data, customer lifecycle analysis, and marketing measurement. Responsibilities include mentoring team members, shaping team positioning, leading strategic initiatives, and supporting data modeling and advanced analytics.

Supports analytics product improvements by researching data issues, designing reports, documenting business requirements, developing use cases, and conducting user acceptance testing. The role creates training materials, facilitates user training, supports credit unions and internal users, promotes business intelligence practices, and helps transition analytics solutions into business operations.

Lead definition, monitoring and reporting of Group financial crime KRIs and tolerances. Drive data quality, investigations and MI for AML, sanctions, fraud and CDD. Partner with technology and business units to maintain data infrastructure, implement automated reporting, enhance controls and deliver dashboards and governance across the organisation.

Leads business intelligence, workflow automation, and data stewardship for financial risk operations. Builds governed Tableau and Power BI reporting environments, develops Python, SQL, RPA, and ETL solutions, analyzes trends, and delivers predictive insights. Maintains audit-ready controls, data integrity, version management, error handling, and compliance. Partners with stakeholders to modernize manual processes, improve efficiency, track operational performance, and scale self-service analytics.

Leads marketing and enrollment analytics across acquisition and conversion funnels. Analyzes channel performance, ROI, attribution, forecasting, experimentation, and marketing mix modeling; develops recommendations for budget allocation and performance improvement. Uses Power BI, SQL, Python or R, and institutional and marketing datasets to build models, automate monitoring, identify anomalies, and support cross-functional decisions. Owns marketing measurement standards, data quality, tracking, and analytical roadmap while partnering with Marketing, Enrollment, Field, and Institutional Analytics teams.

Build and operate production data pipelines, CDC streams, and Snowflake Bronze-layer infrastructure using Python, SQL, Redpanda, and Dagster. Maintain source adapters, historical snapshots, schema-drift detection, deduplication, data-quality checks, reconciliation, and observability. Collaborate on Silver-layer modeling, governance tagging, CI/CD, containerization, and HVR-to-Redpanda migration. Participate in incident response and develop deeper ownership of orchestration, streaming, data governance, and dbt-based layered modeling.

Leads partnership valuation, sponsorship performance measurement, and digital and marketing analytics for a professional sports club. Develops valuation models, KPIs, dashboards, benchmarks, and actionable recommendations across digital platforms, campaigns, and fan engagement. Manages and mentors analysts while partnering cross-functionally with Partnerships, Digital, Marketing, and other teams to support commercial strategy, pricing, renewals, upselling, and audience growth.

Enters, maintains, and audits data in assigned databases, ensuring timely and accurate information. The role manages an independent workload, supports team outcomes, and communicates straightforward information. It requires at least one year of relevant experience and involves a typical office or distribution environment, with occasional lifting of up to 20 pounds.

Leads enrollment research and analytics by translating admissions, financial aid, and student success data into strategic recommendations. Builds Tableau dashboards, tracks KPIs, extracts and manipulates Snowflake data using SQL and Python or R, and advises stakeholders and leadership. Partners with institutional strategy teams on strategic plan initiatives and communicates complex findings to nontechnical audiences.

Manage and mentor a Risk Analytics team while contributing ~20% hands-on work. Define analytics roadmap, build dashboards and queries, monitor KPIs, analyze transaction data to detect fraud/credit risk, recommend controls, automate processes, and collaborate with Risk Data Science and Ops.