Data Analyst

Overview We are looking for a skilled Power BI and Excel data analyst to join our Business Strategy team within the Customer Experience & Success organization. In this role, you will support strategic operations by building dashboards and delivering insights that help our Customer Experience professionals drive Customer Success through efficient solution deployment. You’ll work closely with stakeholders to access internal systems, develop multi-dimensional views of customer data, and uncover trends in support coverage, cloud and AI consumption, and product usage. Your ability to interpret data, highlight key signals, and communicate findings clearly will be essential in informing leadership decisions and shaping team priorities. What You’ll Do • Collaborate with internal stakeholders to define data elements needed (views, systems etc.,). • Collaborate across to advance tooling and capabilities. • Interpret data and analyses, create views, reports, dashboards, and make actionable recommendations. • Evangelize analysis results to key stakeholders. • Define, automate, and deliver reporting (once identified) as a tool for presenting results and aid in storytelling. • Present insights and learnings to key stakeholders and executives in standard business forums. • Work with stakeholder to define, generate, automate, and monitor metrics. Ensure metrics are both simple to understand and easy to use. • Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques. • Define and implement data governance policies and procedures. • Provide clarity to business and technical stakeholders on our data nuances. • Continually seek opportunities in how we can make better use of data to inform better business decisions. • Regularly sync with your stakeholders to ensure working towards priorities. What You’ll Have • Strong analytical and/or Business Intelligence skillset. • Experience in data analytics & reporting tools and techniques (e.g., Power BI, Power Query, DAX, SQL). • Technical data analysis/modeling experience using Excel/R/Power BI/SAS/STATA or similar, plus familiarity with Python, R, or SQL (nice to have). • Relational data modeling – design and management of relational cubes and data structures. • Headcount analytics ownership – establish, maintain, and improve models for workforce insights. • Process design for data refresh – build reliable, repeatable pipelines for consistent updates. • Ability to clearly and concisely communicate results of analytics projects to influence stakeholders. • Ability to assimilate data from multiple sources and provide insights that drive recommendations. • Demonstrated experience with data pipelines, cleansing, transformations, and other manipulation techniques. • Experience defining master data or information governance policies and procedures. • Enterprise data management and systems integration background. • Ability to think strategically, work effectively in ambiguous situations, and pivot as needed. • Works efficiently and independently with minimal guidance. • Ability to manage multiple workstreams under deadline pressure. • Proactive mindset with a bias for action.