• Collect, process, and load data from multiple sources • Gather requirements from stakeholders • Develop integrations between different platforms • Build and improve Business Intelligence platforms • Ensure delivery quality through rigorous reviews

Role Description We are looking for a Data & Analytics Summer Intern to help mature our analytics infrastructure and accelerate our transition into a highly data-driven organization. This role requires an analytical thinker who wants to move beyond static reporting and dive deep into complex, multifaceted data streams. You will focus on advanced data analysis, root-cause diagnostics of operational variances, and correlation modeling. Leveraging cutting-edge tools like Databricks Genie, you will help democratize data access and institutionalize self-service insights across our Global Operations teams. - Root-Cause & Causation Analysis: Audit core operational metrics, conducting deep-dive statistical and diagnostic analyses to isolate true causal drivers of operational variance and inefficiencies. - Databricks Optimization: Translate analytical insights into structured, custom data tables and configure/optimize Databricks Genie spaces so business partners can effortlessly self-serve insights using natural language. - Agile Integration: Operate as a core member of the team, fully embedded in standard team rhythms including daily connects, sprint planning, and team retrospectives. - Ad-Hoc Diagnostics: Execute rapid-response diagnostic investigations into sudden operational shifts, presenting data-driven findings directly to operational leadership. - Collaborative Pairing & Demos: Participate in collaborative sessions and actively present analytical insights at regular team demos. Qualifications - Technical Analytics Foundations: Strong SQL foundations, experience with data modeling, and proficiency with BI visualization tools (e.g., Tableau, PowerBI, Looker Studio). - Strategic Analytical Thinking: A natural curiosity for digging beneath the surface of data to understand the why behind operational metrics and separate correlation from causation. - Collaboration & Communication: Strong presentation skills with the ability to translate complex data discoveries and statistical findings into clear, actionable business insights for non-technical stakeholders. - Academic Background: Currently pursuing an Undergraduate or Graduate degree in Data Analytics, Data Science, Information Technology, Statistics, or a highly quantitative field. Requirements - The annual gross base salary range for this position is $60,000 (prorated over 12 weeks). - Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. - For Full-Time Regular Employees, this position is also eligible for additional compensation as follows: - Sales Roles: This position is eligible for a commission structure in addition to base salary. - Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary. Benefits - Generous paid parental leave. - Flexible time off. - Spending accounts. - Medical insurance. - Dental insurance. - Vision insurance. - Sabbatical after 5 years. - And more.

• Assignments are ongoing according to expertise and school needs. • Utilize your professional expertise to provide high-quality instruction from a pre-designed curriculum. • Mentor doctoral learners and participate in doctoral committees. • Provide relevant feedback and ensure successful completion. • Be available within 48 hours by phone, email, and in the courseroom. • Travel within the US to participate in doctoral residencies. • Utilize the online learning platform to enrich the learning experience. • Establish high standards and ensure learners understand how they will be evaluated. • Adhere to University policies and procedures. • Attend faculty meetings, workshops, and training as required. • Participate in other activities based on university needs.

• Lead discovery engagements to define business objectives, KPIs, and measurement frameworks aligned to organizational goals • Translate complex data into clear, actionable insights for both technical and non-technical audiences • Develop analytics strategies that connect digital performance to mission outcomes • Advise clients on evolving trends in analytics, including AI visibility, AI-driven search behavior, privacy changes, and modern measurement approaches • Lead implementation and configuration of analytics platforms, including GA4, GTM, SEO, and AI visibility tools, and CRM systems • Design and document data flows across platforms and systems • Ensure data quality, governance, and consistency across implementations • Build dashboards and reporting solutions using tools such as Looker Studio and Tableau • Build client data literacy through practical guidance, training, and best practices • Partner with project teams to deliver high-quality analytics work and strong client outcomes • Support analytics scoping, estimation, proposals, and client presentations • Manage and mentor a small team of analysts • Provide coaching, feedback, and professional development support • Help balance workloads across multiple client engagements • Foster a collaborative, learning-oriented team environment