Senior Business Intelligence Analyst

ASCENDO RESOURCES

Miami, FL, United States

12 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

1 year minimum

Compensation

$120,000.0 - $140,000.0

Working hours

Regular working hours

Job source

www.indeed.com

Tech stack

Microsoft Excel Artificial Intelligence Data Analysis BigQuery Data Dictionary Information Engineering Data Infrastructure Data Systems Data Visualization Data Warehousing Raw Data SQL Databases

+6 more

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Job description

A fast-growing, data-driven company is seeking an experienced Senior Business Intelligence Analyst to build and maintain the systems that turn data into real business results.
In this senior role, you will work directly with executive leadership to harness raw data and transform it into scalable data systems, reporting, and high-impact insights.
You will help build a data program nearly from the ground up and deliver analytics that directly drive revenue, inform strategy, and accelerate growth.
This is a highly visible role reporting to the CEO and supporting the full C-suite.
If you thrive in fast-moving environments, love translating complexity into clarity, and want your work to directly shape company strategy, this role is for you., * Own and maintain the executive reporting suite: dashboards, KPI trackers, and ad hoc analyses for the CEO, C-suite, and marketing leadership.
Develop a reporting framework that goes beyond first-touch and last-touch attribution to explain how email, paid media, and other touchpoints contribute to the full customer journey and growth levers.
Proactively surface insights that help leadership anticipate where the business is going, not just report on where it has been, and turn those insights into revenue drivers.
Enhance existing dashboards primarily in Looker and leverage additional tools (including AI interfaces) to complete executive and marketing reporting.
Connect systems to generate tables in BigQuery and other tools that serve as master data sources powering visualization tools such as Looker.
Write complex SQL from scratch (CTEs, window functions, joins, aggregations) to build, maintain, and troubleshoot datasets in BigQuery, transforming raw data into usable tables.
Work with FiveTran 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 scalable data practices that minimize errors and ensure confidence in reporting.
Present findings directly to the CEO and C-level team and own the narrative from data pull through to executive briefing.
Work across departments as a senior resource to solve problems, answer business questions, support campaign maintenance, and enable deep segmentation and analysis.
Translate complex data into clear, actionable recommendations for non-technical senior leaders.
Maintain the data dictionary, document reporting logic, and keep analytics assets organized, reproducible, and versioned.
Balance competing data requests from multiple C-suite members and communicate priorities clearly.
Perform other related duties as assigned.

Requirements

Bachelor’s degree in a relevant field.
Minimum five (5) years of experience in a data analyst, business analyst, or similar analytics role.
At least one (1) year of experience working directly with or supporting C-level executives.
Proven proficiency writing complex SQL from scratch, including CTEs, window functions, joins, and aggregations.
Hands-on experience with BigQuery 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 FiveTran 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 needs and solve for them with data.
Excellent communication and presentation skills, with the ability to convey technical findings to non-technical leaders clearly and confidently.
Experience using Google Sheets and Excel for ad hoc executive deliverables.