Top Data & Analytics Jobs

Lead design and maintenance of data warehouse architecture, schemas, and ETL to support reporting and BI. Provide Oracle DBA support (configuration, backup, tuning), integrate enterprise systems (Workday, Cayuse, Lawson), enforce data governance and security best practices, and collaborate across IT to document and optimize data solutions.

Leads organization-wide grant reporting, including report authorship, deadline and calendar management, funder data tracking, and Salesforce record maintenance. Oversees analysts, establishes reporting standards, ensures accurate quantitative and qualitative outcome data, collaborates with program leadership, and supports organizational understanding of program impact through analysis, visualization, and presentations.

Short-term, paid project to export and submit personal financial data from multiple apps. Participants must provide exports from specific financial categories, create two financial artifacts, redact PII on-device using a provided tool, and follow quality and timeline requirements until Final Approval.

Own churn analysis, build subscriber behavior models and cohorts, develop retention dashboards and LTV/revenue impact models, tag cancellation reasons, support A/B test design/analysis, ensure data integration from Zendesk/Shopify/Recharge, and present insights to retention leadership.

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Lead Workday reporting strategy for higher education: design Advanced, Matrix, Composite, and Dashboard reports; implement row-level security and role-based access; partner with HR/Finance/Payroll/Institutional Research; support regulatory and executive reporting; manage testing, validation, and user training while ensuring governance and data standards.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Transforms customer, market, transactional, and performance data into actionable insights. Develops enterprise dashboards, reporting frameworks, segmentation and targeting strategies, lead-generation programs, campaign and sales performance analyses, and executive presentations. Partners with sales, marketing, product, and business leaders to solve complex problems, maintain data governance, identify new data sources, and improve decision-making. The role has no direct people-management responsibilities.

Own Canva’s finance revenue data models and pipelines using dbt and Snowflake. Support Revenue Accounting through month-end close, maintain automated tests and reconciliation controls, ensure audit-ready data quality, and translate new products, pricing, and accounting requirements into reliable pipeline logic. Partner cross-functionally with finance stakeholders to improve data accuracy and efficiency across high-volume billing and subscription data.

Develop, optimize, and support SAS ETL processes and Oracle database solutions. Translate business requirements into technical designs, perform data validation and troubleshooting, tune performance, and collaborate with cross-functional teams to deliver quality data. Schedule and monitor ETL jobs using Control-M while applying data warehousing and ETL best practices.

Support business, commercial, data governance, data intelligence, and IT analytics teams by transforming data into dashboards, visualizations, reports, and actionable insights. Interns may improve data quality, streamline reporting and processes, support sales productivity, and help deliver innovative analytics tools. The role also involves documenting complex processes, presenting findings, collaborating with stakeholders, and managing multiple priorities.