Senior Analyst, Business Intelligence

<p><strong>Summary:</strong></p> <p>The Senior Business Intelligence Analyst plays a pivotal role in driving data-driven decision-making across the organization. This role is responsible for developing dynamic dashboards, delivering actionable insights, and ensuring the effective use of analytics tools to support strategic objectives.</p> <p><strong>Responsibilities:</strong></p> <ul> <li>Develop, maintain, and enhance Amazon Quicksight dashboards and reports to provide visibility into key business metrics.</li> <li>Analyze GTM data to deliver insights that improve decision-making and drive business outcomes.</li> <li>Create robust data models to streamline reporting and ensure alignment with strategic objectives.</li> <li>Design, implement, and manage weekly, monthly, and quarterly scorecards and forecasts for leadership.</li> <li>Partner with Sales, Marketing, and Customer Experience teams to ensure reporting aligns with business needs.</li> <li>Lead the administration and enhancement of Quicksight and other BI platforms to ensure scalability and usability.</li> <li>Provide provocative presentations to key stakeholders to advance understanding and strategy through compelling visuals.</li> <li>Educate GTM teams on how to use BI tools effectively, fostering a data-driven culture.</li> <li>Develop standardized reports and packages that provide field teams with the insights they need to succeed.</li> <li>Respond to requests for deep-dive analyses to uncover trends, opportunities, or risks.</li> </ul> <p><strong>Required Skills &amp; Experience:</strong></p> <ul> <li>4+ years in Business Intelligence, Data Analytics, or a related field, with hands-on expertise in AWS Quicksight.</li> <li>Proficiency in SQL, Python, dbt, data modeling, data visualization, and advanced Excel/Google Sheets for modeling and analysis.</li> <li>Experience with AWS Quicksight/Athena/S3/Lambda, Gitlab, VSCode, Salesforce CRM, Google Sheets, Google Slides.</li> <li>Preferred experience with Fivetran.</li> <li>Strong ability to interpret data, identify trends, and translate findings into actionable strategies.</li> <li>Exceptional attention to detail and a knack for solving complex business problems.</li> <li>Ability to clearly convey insights and recommendations to both technical and non-technical stakeholders.</li> <li>Bachelor’s degree in Data Science, Computer Science, Analytics, or a relevant/equivalent field.</li> <li>Working knowledge of SaaS metrics (Bookings, Pipeline, Churn, NRR, GRR, LTV, ARR, CAC, etc.) and Revenue Forecasting.</li> <li>Bonus points for experience with other BI tools (e.g., Tableau, Power BI) and domain expertise in revenue enablement, GTM/sales operations, professional services reporting, customer intelligence, or churn prediction models.</li> </ul>

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