Role Title: Data Analyst
Department: Product Development
Reports To: Chief AI Officer
Direct Reports: None
Location: US-Remote / As-needed travel for internal and client interactions
Role Type: Individual Contributor
Growth Path: Senior Data Analyst; Lead Analyst

Who We Are
Data Analysts are the storytellers within Pypestream’s delivery organization. In this analytical role, you transform complex data into clear, actionable insights that drive measurable business outcomes for our clients. You blend advanced analytics, SQL, Python and data visualization skills with a strong narrative mindset to uncover opportunities, explain performance, and guide decision-making.

Role Overview
As a key partner to Client Services peers and clients, you are the expert reporting layer of our services model. You will work directly with stakeholders to interpret data, troubleshoot issues, guide solution enhancements and influence strategy, while also helping scale adoption of Pypestream’s analytics capabilities and evolving reporting products. With a practitioner’s lens, you don’t just report on what happened, you identify what to improve and how to execute against it.

Responsibilities

• Create and maintain reporting dashboards that include key performance metrics, trends, and usage data for each customer.
• Jointly own our reporting product; learn it, train others on it, drive adoption and partner to enhance and evolve it.
• Build business reviews; recommend and drive optimizations for deployed solutions by identifying improvement areas for conversational flows, re-training and expanding NLU capabilities, and troubleshooting backend integrations.
• Utilize various data analysis techniques (Topic Modeling, User Traversal Heatmaps, etc.) to uncover improvement areas and optimization opportunities for deployed solutions.
• Develop new processes and bring fresh ideas, while receiving the support and guidance from an experienced management team.

Required Qualifications:

• U.S. Citizenship or permanent resident status required due to client contractual requirements
• An analytical mind with a propensity for storytelling with data
• Advanced SQL skills (PostgreSQL and/or GoogleSQL dialects preferred)
• Experience with Python 3.x, pandas, and RESTful APIs
• Expertise in data manipulation and analysis to extract actionable insights
• Ability to collaborate with technical and non-technical stakeholders
• Interest in or experience with SOTA LLM models like Gemini, Claude or GPT-4+

Bonus Qualifications:

• Experience using GCP products (especially BigQuery and Looker Studio)
• Bachelor’s Degree in Data Science, Business Management, or related field
• Exposure to PM / Issues Tracking tools (e.g., Confluence, Jira)
• We encourage highly aligned candidates to apply even if they do not meet 100% of the qualifications listed.

Working at Pypestream
At Pypestream, our culture is built around people who care deeply about doing meaningful work the right way. We’re obsessed with our customers and measure our success by theirs, centering every decision on trust, long-term impact and real business outcomes. We challenge the status quo and aren’t afraid to blow things up and rebuild them better. Our expert practitioners create solutions that reimagine how our customers connect with theirs and shape the future of customer engagement.

Along the way, we value people as much as performance. We work flexibly, collaborate openly, share what we know, and give smart, curious practitioners room to lead, learn and make real impact. Our teams are encouraged to bring ideas forward, grow their skills alongside cutting-edge AI technology, and shape their careers as the company scales. We have each other’s backs, because we believe extraordinary outcomes happen when talented people feel trusted, challenged and celebrated.

Compensation & Benefits

• Competitive base salary, performance-based bonuses, and equity opportunities
• Comprehensive health, dental, and vision benefits
• 401(k) retirement plan
• Flexible paid time off
• Fully remote work environment

Pypestream is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, age, disability, veteran status, or any other protected characteristic.