Insights Data Analyst
ASAPP
Data Science, IT
Argentina
Posted on Mar 16, 2025
At ASAPP, our mission is simple: deliver the best AI-powered customer experience—faster than anyone else. To achieve that, we’re guided by principles that shape how we think, build, and execute. We value customer obsession, purposeful speed, ownership, and a relentless focus on outcomes. We work in tight, skilled teams, prioritize clarity over complexity, and continuously evolve through curiosity, data, and craftsmanship.
We’re seeking technologists and problem solvers who thrive in fast-paced environments, love collaborating with great talent, and approach every day like it’s Day 1. We're a globally diverse team with hubs in New York City, Mountain View, Latin America, and India—embracing both hybrid and remote work to bring the best minds together, wherever they are. If you're driven by continuous learning, rapid pivots, and the challenges of building in a high-growth startup, we’d love to talk. This is more than a job—it’s a journey.
We are looking for an Insights Analyst to join our Customer Success Insights Team to convert complex datasets into actionable insights and recommendations that will shape the future of Generative AI in the contact center. Working closely with our Customer Success Managers, you will analyze and interpret the interactions consumers have with large enterprises and provide strategic guidance on how to maximize the value of those experiences. These insights will directly shape the experience customers have with brands and will guide the evolution of our AI products.
The primary responsibilities of the role will include conducting ongoing data analyses, providing recommendations and crafting narratives around performance and opportunities. The ideal candidate is a self-starter with a strong understanding of customer behavior and a proven ability to leverage advanced analytical techniques to uncover insights at scale.
The role is right for you if you
- Love turning complex data into simple stories and actionable next steps
- Are skilled at asking “why” something occurred, not just quantifying what happened
- Can transform ambiguous directives into impactful outcomes
- Are a self-starter with the drive to deliver high-quality work
- Can operate in a fast-paced environment without sacrificing quality
What you’ll do
- Serve as a strategic partner to business stakeholders (Customer Success, Product and Sales) to uncover and articulate deep insights from customer interaction data
- Analyze how users engage with Generative AI, diagnosing pain points, surfacing opportunities to improve performance and quantifying value delivered
- Develop insight-driven recommendations rooted in customer behavior
- Synthesize findings into compelling narratives and presentations for both technical and non-technical audiences
- Write custom SQL queries to fulfill data requests for both internal and external stakeholders
- Assist in customer meetings to present findings and build credibility as a strategic partner
- Help shape the roadmap for generative Al solutions for the contact center
What you’ll need
- Bachelor's degree in Computer Science, Statistics, Business, Data Science, Mathematics, or related field; or equivalent work experience
- 2-4 years of experience in data analytics, strategy, consulting or a similar a role
- Demonstrated experience connecting data analysis to business drivers and presenting recommendations
- Advanced SQL skills, including the ability to write new queries and interpret existing queries
- Proficiency in creating impactful presentation materials in PowerPoint or Google Slides to communicate insights clearly to executive and cross-functional audiences
- Experience with data visualization tools (e.g. Sisense, RStudio, Tableau, etc.) and an ability to create simple yet impactful data visualizations from complex data sets
- Strong written and verbal communication skills
What we’d like to see
- Experience leveraging large language models for analytics purposes
- Previous experience analyzing unstructured, conversational data
- Customer-facing experience
ASAPP is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you have a disability and need assistance with our employment application process, please email us at careers@asapp.com to obtain assistance. #LI-SL1 #LI-Remote