ActiveCampaign

Senior Business Intelligence Analyst

ActiveCampaign

full-time

Posted on:

Origin:  • 🇺🇸 United States • Illinois

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Salary

💰 $110,400 - $151,800 per year

Job Level

Senior

Tech Stack

SQLTableau

About the role

  • Act as a strategic consultant, using analytical prowess to answer critical business questions and guide decision-making for stakeholders, including VPs and executives.
  • Design and build compelling visualizations, dashboards, and reports that distill complex quantitative analyses into clear, actionable insights for audiences at every level.
  • Dive deep into data exploration, leveraging cutting-edge analytical techniques—from statistical inference to machine learning and LLMs—to uncover hidden patterns and opportunities.
  • Champion data integrity by owning the validation, cleanup, and governance of core datasets in our Snowflake data warehouse, ensuring accuracy and reliability across the organization.
  • Collaborate cross-functionally to understand reporting requirements, define key metrics, and deliver analytical solutions that meet the evolving needs of our business units.
  • Deliver critical insights that directly improve operational efficiency and empower teams as an internal consultant and strategic partner.

Requirements

  • 3-5 years of hands-on experience in a business intelligence or analytics-focused role, with a strong ability to answer unstructured business questions.
  • At least 2 years of SQL experience, coupled with a strong understanding of data modeling concepts and data warehouse architecture.
  • Proven experience with a modern data visualization tool such as Looker, Tableau, or QuickSight to build impactful reports and dashboards.
  • Exceptional analytical skills, with the talent to simplify complex data into clear, actionable insights and concise recommendations.
  • A forward-thinking approach to analytics, including experience integrating AI tools into daily workflows or building AI agents to automate data insights.
  • Experience building complex data models for financial metrics (e.g., ARR, GAAP accounting, revenue retention) is a significant asset.
  • A proactive mindset and a willingness to learn new skills and technologies on the job to stay at the forefront of the analytics field.
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