Business Intelligence Manager

ASCENDO RESOURCES
Miami Beach, FL, United States
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Microsoft Excel Artificial Intelligence Data Analysis Customer Data Management Data Dictionary Information Engineering Data Governance Data Warehousing Raw Data Power BI Mixpanel DataOps
+9 more
Salesforce.Com SQL Databases Technical Data Management Systems Sql Optimization Google Data Studio Information Technology Data Management Tools for Reporting Looker Analytics

Job description

We are seeking an experienced Senior Business Intelligence Analyst to spearhead our data operations and translate raw information into scalable revenue drivers. Working directly with executive leadership, you won’t just support the business-you will help direct its future.

In this standalone, high-impact role, you will build and mature our BI architecture from the ground up, partner with data engineering to streamline pipelines, and deliver intuitive executive dashboards. The ideal candidate thrives in high-velocity environments, anticipates C-suite needs before they are voiced, and excels at translating complex technical data into clear, strategic action.

What You’ll Do

  • Own Executive Reporting: Design, deploy, and maintain our executive reporting ecosystem-including C-suite dashboards, core KPI trackers, and multi-channel marketing performance metrics.
  • Drive Next-Gen Analytics: Evolve our reporting framework beyond standard first/last-touch attribution into multi-touch attribution, uncovering key drivers and detractors across email, paid media, and customer lifecycle touchpoints.
  • Proactive Strategic Insight: Continuously mine datasets to surface forward-looking insights, helping leadership anticipate market shifts and capitalize on revenue opportunities.
  • Data Modeling & Architecture: Write production-grade SQL from scratch in clean, transform, and structure raw data into unified single-source-of-truth master tables.
  • Dashboard & Tool Optimization: Enhance Looker dashboards and integrate cutting-edge BI and AI tools to automate workflows and elevate executive reporting.
  • Pipeline Collaboration: Partner closely with Data Engineering to optimize ingestion tools, establish data governance, and build scalable, error-free pipelines.
  • Cross-Functional Leadership: Serve as the senior data authority across departments-answering complex business queries, powering advanced customer segmentation, and supporting campaign health.
  • C-Suite Advisory & Alignment: Act as a trusted partner to C-level executives, skillfully prioritizing competing data requests and delivering compelling, jargon-free presentations.
  • Data Stewardship: Maintain rigorous data dictionaries, document reporting logic, and ensure all data assets are organized, reproducible, and compliant.

Requirements

  • Education: Bachelor’s degree in Analytics, Computer Science, Business, or a related quantitative field.
  • Experience:
  • 5+ years in a dedicated Data Analyst or Business Intelligence Analyst role.
  • 1+ years of experience directly advising or supporting C-level executive teams.
  • Advanced SQL: Proven mastery of complex SQL written from scratch (CTEs, window functions, advanced joins, and complex aggregations).
  • Data Warehousing & BI Stack:
  • Demonstrated track record building production-grade dashboards in Looker, Google Data Studio, or equivalent enterprise BI tools.
  • Business Acumen & Communication: Exceptional ability to translate intricate analytical models into clear, actionable recommendations for non-technical stakeholders.
  • Core Skills: Proficiency with Excel/Google Sheets for rapid ad hoc financial and operational modeling.
  • Work Authorization & Location: Must be legally authorized to work in the U.S. without sponsorship, currently reside in the U.S., and able to work full-time on-site in Miami, FL.

Preferred Experience:

  • Master’s degree in Data Science, Business Analytics, or a related discipline.
  • Experience as the primary “data owner” or solo BI lead in a fast-paced, high-growth, or operationally complex business.
  • Advanced experience building and scaling first-touch, last-touch, and multi-touch attribution models.
  • Exposure to customer data and analytics tools like Mixpanel, Salesforce, or Power BI.
  • Experience leveraging modern AI-assisted tools for BI automation and reporting workflows.

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