Top Data & Analytics Jobs

Undergraduate internship supporting Audit & Assurance by applying data analytics and generative AI. Tasks include developing analytics models, data cleansing and transformation, visualization, researching Gen AI techniques (including agentic AI), and collaborating to build digital capabilities within the audit team.

Design, build, test, document and publish production analytics solutions using Tableau/Power BI, Databricks, Python and SQL. Lead visualisation reviews, support UAT, track usage/ROI, mentor developers, and translate complex business requirements into analytics deliverables across the full lifecycle.

Lead development of credit and fraud strategies using data, ML models, and advanced analytics. Design A/B tests, analyze portfolio performance, conduct root-cause and ad-hoc analyses, and partner with Data Science, Product, and Engineering to implement and validate risk and fraud prevention strategies while communicating findings to stakeholders.

Lead design and governance of enterprise ontologies and knowledge graphs, architect an AI-ready semantic layer integrated with Snowflake, define standards and processes, collaborate with data governance and analytics teams, document semantic models and metrics, and monitor semantic system performance for AI and BI use cases.

Perform sales and financial analysis to support accounts and campaigns, build and maintain financial models and dashboards in Tableau and Excel, validate large datasets, prepare presentations for leadership, and support process and reporting improvements.

Design, implement, and manage in-product intercept surveys using Qualtrics; analyze user behavior and survey feedback; build and automate dashboards; integrate survey and behavioral data (e.g., Glassbox); collaborate with UX, product, and engineering teams to translate quantitative findings into actionable product improvements.

Lead analytics for Americas Revenue Operations: define KPIs, build standardized reporting and dashboards, analyze pipeline and performance, champion analytical and generative AI use cases, manage a small analyst team, and drive cross-functional adoption of insights to improve pipeline quality and revenue execution.

The role involves analyzing ad auction mechanisms, designing experiments, building econometric models, and collaborating with cross-functional teams to improve marketplace optimization.

Extract, analyze, and map client data from legacy relational databases into Bloomerang systems. Export data, create and test data maps and code, document processes, report data issues, and support conversions while collaborating with engineers and project managers. Work on entry-level conversions and become a subject-matter expert on migration best practices and Bloomerang capabilities.

This position involves supporting client-based data analytics and engineering projects, utilizing SQL, Python, or R, and presenting findings clearly.