Business Intelligence Analyst - Subscription

Position Overview

We are looking for a skilled Business Intelligence Analyst with advanced expertise to convert complex datasets into meaningful business insights that influence strategic decisions. This role collaborates closely with teams across Marketing, Product, Merchandising, Finance, and Executive Leadership to transform business questions into data-oriented solutions, develop reports and visual dashboards, and pinpoint areas for business improvement.

This position emphasizes business analytics and insight generation rather than IT support or software engineering.

Key Responsibilities

• Collaborate with various business stakeholders to translate their inquiries into analytical frameworks.
• Examine extensive data to uncover trends, growth opportunities, and actionable insights.
• Design, develop, and upkeep dashboards and data visualizations using BI tools.
• Write and optimize SQL queries to facilitate reporting, analytics, and business projects.
• Communicate analytical findings and suggestions effectively to both technical and non-technical audiences.
• Assist in A/B testing processes, behavioral customer analytics, and measuring performance.
• Identify and implement enhancements in reporting workflows and automate routine analyses.

Qualifications

• A bachelor’s degree in Business Analytics, Statistics, Economics, Computer Science, or similar fields, or equivalent professional experience.
• Minimum of five years’ experience in business intelligence, data analytics, or related functions.
• Expertise in SQL for querying large datasets.
• Proficiency in business intelligence platforms such as Tableau, Power BI, or comparable software.
• Strong skills in data analysis, problem solving, and clear communication.
• Proven experience working effectively with cross-functional teams.

Preferred Skills and Experience

• Background in eCommerce, subscription models, or consumer markets.
• Familiarity with web analytics tools like Google Analytics.
• Experience with designing and analyzing A/B tests.
• Basic knowledge of programming or analytics tools such as Alteryx, Python, or R.
• Understanding of customer behavior analytics, merchandising strategies, or digital marketing evaluation.