Data Analyst (Onsite)

Brighton•City of Industry, CA

4d•Onsite

About The Position

Brighton is seeking a curious, detail-oriented Data Analyst to join its Data & Analytics team. This generalist role supports Retail, Wholesale, Ecommerce, Marketing, and other teams with reporting and insights that help them make informed decisions. The analyst will work with data across the business, including sales, customer, and channel data, and contribute to the company's use of data and decision-making. The role offers visible work, opportunities to contribute ideas, and room to grow within a small, forward-thinking team. It reports to the Head of Data & Analytics and is onsite.

Requirements

2–3 years of experience in a data-focused or technical application support role.
Strong SQL skills in any variant.
Proficiency in at least one of Python, JavaScript, PHP, or .NET.
Expert Excel skills, including pivot tables and lookups.
Sharp attention to detail and commitment to accurate, trustworthy data.
Ability to explain findings clearly to technical and non-technical teams.
A root-cause mindset, including asking why, establishing facts, and understanding problems before proposing solutions.
Strong problem-solving skills and follow-through to take solutions from idea to completion.
Ownership of work and focus on results that move the business forward.
Comfort managing multiple priorities and deadlines with minimal supervision.
Natural curiosity and drive to answer questions with data.

Nice To Haves

Experience with BI tools such as Looker, Sigma, Tableau, Mode, or Metabase.
Background in retail, wholesale, or omnichannel data, including POS, sell-through, or inventory.
Experience with CRM, CDP, or ESP platforms such as Salesforce Marketing Cloud, Klaviyo, Braze, or Segment.
Familiarity with A/B testing or incrementality measurement.
Working knowledge of CCPA/CPRA and customer data privacy.

Responsibilities

Build and own reporting for retail stores, wholesale accounts, ecommerce, and marketing teams.
Analyze sales, customer, and channel performance to identify trends and opportunities.
Forecast results and measure the impact of campaigns, initiatives, and business changes.
Support customer data work, including segmentation, data hygiene, and CRM and loyalty analytics.
Partner with stakeholders across the company to answer questions and build scalable data solutions.
Translate complex findings into clear, actionable stories for non-technical audiences.