Senior Analyst, Business Intelligence

Summary:

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.

Responsibilities

• • Develop, maintain, and enhance Amazon Quicksight dashboards and reports to provide visibility into key business metrics.

• • Analyze GTM data to deliver insights that improve decision-making and drive business outcomes.

• • Create robust data models to streamline reporting and ensure alignment with strategic objectives.

• • Design, implement, and manage weekly, monthly, and quarterly scorecards and forecasts for leadership.

• • Partner with Sales, Marketing, and Customer Experience teams to ensure reporting aligns with business needs.

• • Lead the administration and enhancement of Quicksight and other BI platforms to ensure scalability and usability.

• • Provide provocative presentations to key stakeholders to advance understanding and strategy through compelling visuals.

• • Educate GTM teams on how to use BI tools effectively, fostering a data-driven culture.

• • Develop standardized reports and packages that provide field teams with the insights they need to succeed.

• • Respond to requests for deep-dive analyses to uncover trends, opportunities, or risks.

• Required Skills & Experience:

• • 4+ years in Business Intelligence, Data Analytics, or a related field, with hands-on expertise in AWS Quicksight.

• • Proficiency in SQL, Python, dbt, data modeling, data visualization, and advanced Excel/Google Sheets for modeling and analysis.

• • Experience with AWS Quicksight/Athena/S3/Lambda, Gitlab, VSCode, Salesforce CRM, Google Sheets, Google Slides.

• • Preferred experience with Fivetran.

• • Strong ability to interpret data, identify trends, and translate findings into actionable strategies.

• • Exceptional attention to detail and a knack for solving complex business problems.

• • Ability to clearly convey insights and recommendations to both technical and non-technical stakeholders.

• • Bachelor’s degree in Data Science, Computer Science, Analytics, or a relevant/equivalent field.

• • Working knowledge of SaaS metrics (Bookings, Pipeline, Churn, NRR, GRR, LTV, ARR, CAC, etc.) and Revenue Forecasting.

• • 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.