Retail Insight Analyst (Spanish/English)

First Insight, Inc.•Pittsburgh, PA

1d•Remote

About The Position

The AI-Powered Decision Engine for Customer-First Products The best merchants have always had strong instincts about what customers want. The best ones tomorrow will use AI to hear directly from consumers — at scale, before a single decision is made — and act on what they find. First Insight gives brands and retailers that signal across product design, assortment, pricing, and planning, so the people who build and buy product move faster, with more confidence, and less risk. If you've spent your career in retail or on the brand side — in the US, Latin America, or both — and you're ready to be on the leading edge of AI and how the industry makes its most important decisions, this role was built for you. With 18 years of innovation in predictive analytics and AI, First Insight is trusted by brands like Under Armour, Marks & Spencer (M&S), Woolworths, and Family Dollar. Our Voice of the Customer platform and Value Score™ serve 600+ brands and retailers across retail, apparel, footwear, automotive, home goods, CPG, and hospitality worldwide. We are seeking a Retail Insight Analyst (bilingual Spanish/English required) to support retail clients in understanding and applying customer, product, and performance data to improve business decisions. This role blends retail analytics, customer insights, and client-facing communication. You will work closely with retail partners to interpret data, identify trends, and translate insights into clear, actionable recommendations in both English and Spanish. You’ll work closely with both internal teams and customer stakeholders across the United States and Latin America. Bilingual fluency in Spanish and English is required, as this role supports communication and collaboration across this footprint. If you enjoy turning data into insights that directly support the retail decision-making process and have experience in business analysis, retail analytics, customer insights, BI/reporting, or merchandising analytics, this may be a strong fit. This role sits at the intersection of business analysis and retail decision-making, helping bridge the gap between customer insight data and the people responsible for planning, buying, and merchandising products in market.

Requirements

Bachelor’s degree; Fashion Merchandising, Retail Merchandising, Business, Planning, or Analytics degrees preferred
2–5 years of experience in business analysis, retail analytics, customer insights, BI/reporting, or related analytical roles
Strong ability to interpret data and translate it into clear business insights
Experience working with retail, customer behavior, sales, or merchandising data preferred
Proficiency with Excel and/or BI tools such as Power BI, Tableau, or similar platforms
Strong communication and presentation skills
Experience working in client-facing or stakeholder-facing roles preferred
Bilingual in Spanish and English required (written and spoken fluency)
Strong attention to detail and ability to manage multiple priorities in a fast-paced environment

Nice To Haves

Exposure to merchandising, planning, assortment strategy, or product operations
Project coordination or project management experience
Experience working with Latin American customers, teams, or markets

Responsibilities

Analyze retail customer, product, and performance data to identify trends and insights
Translate dashboards, KPIs, and reports into clear, actionable business recommendations
Communicate findings and insights directly with clients in English and Spanish
Support clients in understanding reporting tools, dashboards, and analytics outputs
Partner with client stakeholders to answer questions and support data-driven decisions
Identify trends in customer behavior, sales performance, and product engagement
Deliver recurring reports, insights summaries, and performance updates
Collaborate with internal teams including Analytics, Product, Customer Success, and Sales
Gather client feedback and translate it into reporting and analytics requirements
Monitor account health and engagement metrics to support adoption and retention