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Senior Business Intelligence Analyst

Job in Miami, Miami-Dade County, Florida, 33222, USA
Listing for: Aardy
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

Job Title: Senior Business Intelligence Analyst

Salary Range: $120,000 - $150,000 per year DOE

Position Type: Full-time, Exempt Position

Location: 100% On-site — Miami, FL

Company Overview

Corporation aka  is one of the leading Insure Tech companies in the USA, helping customers choose great travel insurance for their next trip. The company has the highest Trustpilot score of any travel insurance company in the United States and is certified as a Great Place to Work. Aardy is on a high growth trajectory and values excellent customer service skills and high performance.

Position Overview

Senior Business Intelligence Analyst who will build and maintain systems that drive business results from data. The role works closely with a data engineer to create pipelines that collect, clean, and transform data, then visualizes it in executive and marketing dashboards. The analyst reports directly to the CEO and supports all C‑level members to deliver insights that shape strategy and accelerate growth.

Key Responsibilities
  • Own and maintain the executive reporting suite — dashboards, KPI trackers, and ad hoc analyses for the CEO and full C‑suite, as well as marketing dashboards for the broader team.
  • Develop the reporting framework for the next phases of growth beyond first touch and last touch attribution, understanding how email, paid, and other touch points contribute to the customer journey.
  • Proactively surface insights that help leadership anticipate future business trends and deliver revenue‑driving insights.
  • Enhance existing dashboards primarily in Looker, and leverage other tools, including AI interfaces, to complete executive reporting and marketing dashboards.
  • Connect systems to generate tables in Big Query and other tools that serve as master data sources powering visualization tools like Looker.
  • Write SQL from scratch to build, maintain, and troubleshoot datasets in Big Query, transforming raw data into usable tables that drive powerful insights.
  • Work with Five Tran and Segment to support data pipelines in collaboration with the data engineer.
  • Partner with the data engineering team to design tables, build pipelines, and establish data practices that will scale, minimize errors, and build confidence in reporting.
  • Present findings directly to the CEO and C‑level team; own the narrative from data pull to executive briefing.
  • Work across departments as a senior resource to solve problems, answer business questions, support maintenance of campaigns, and enable deep segmentation and analysis.
  • Deliver insightful reporting that drives business decisions and results beyond current reporting.
  • Translate complex data into clear, actionable recommendations for non‑technical senior leaders.
  • Maintain the data dictionary, document reporting logic, and keep assets organized and reproducible.
  • Balance competing data requests from multiple C‑suite members and communicate priorities clearly.
  • Perform other related duties as assigned.
Qualifications (Mandatory)
  • Bachelor’s degree in a relevant field.
  • Minimum of five (5) years of experience in a data analyst or business analyst role.
  • Minimum of one (1) year of experience working directly with or supporting C‑level teams.
  • Proficiency writing complex SQL from scratch (CTEs, window functions, joins, aggregations).
  • Hands‑on experience with Big Query as a data warehouse, including best practices in data analysis and data engineering.
  • Experience building production dashboards and reports in Looker, Google Data Studio, or a comparable BI platform.
  • Familiarity with Five Tran and Segment for data ingestion and pipeline management.
  • Experience collaborating with a data team to design, build, and maintain a governed, source‑of‑truth data foundation.
  • Strong business acumen with the ability to understand executive and marketing team needs and solve for them with data.
  • Excellent communication and presentation skills – able to convey technical findings to non‑technical leaders clearly and confidently.
  • Experience working with Google Sheets and Excel for ad hoc executive deliverables.
Preferred Qualifications
  • Background in high‑growth or operationally complex businesses.
  • Experience as a solo data owner or primary BI…
Position Requirements
10+ Years work experience
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