Duetto Logo

Duetto

Data Analyst, Product Analytics

Sorry, this job was removed at 06:24 p.m. (EST) on Friday, Nov 07, 2025
Easy Apply
Remote
Hiring Remotely in United States
Easy Apply
Remote
Hiring Remotely in United States

Similar Jobs

6 Days Ago
Remote
United States
Senior level
Senior level
eCommerce • Mobile • Retail • Software • Design • Generative AI
The Senior Product Data Analyst will lead product analytics, conduct deep-dive analyses, drive product decisions, communicate insights, and enhance analytics best practices at Mixbook.
Top Skills: LookerMixpanelPythonSQL
11 Minutes Ago
Easy Apply
Remote
USA
Easy Apply
192K-241K Annually
Senior level
192K-241K Annually
Senior level
Fintech • Social Impact • Software
The Staff Software Engineer will lead SRE initiatives, define observability strategies, and enhance system reliability across teams at ActBlue.
Top Skills: AWSDatadogEksFastlyKubernetes
12 Minutes Ago
Remote
United States
165K-290K Annually
Senior level
165K-290K Annually
Senior level
Artificial Intelligence • Cloud • Consumer Web • eCommerce • Information Technology • Software
Lead the design and implementation of AI-based products, collaborate with stakeholders for strategic guidance, and build scalable systems while mentoring teams. Required to have significant experience in coding and AI technologies.
Top Skills: AngularAWSAzureGCPGenaiGoJavaLlmsPythonReactSQL

Position Summary and opportunity

Duetto’s Product Analytics team is growing, and we are looking for a curious and data-driven Product Analyst to join us. In this role, you will be a key partner to our Product and Engineering teams, transforming raw data into clear, actionable insights. You will answer the "why" behind the numbers, build insightful dashboards, and develop trusted datasets that power strategic decisions for product managers, engineers, and executives. If you love using data to influence product strategy and solve complex problems, this role is for you.

Key responsibilities 

  • Deep-Dive Analysis & Storytelling: Partner closely with Product Managers to translate ambiguous business questions into structured analyses. Proactively use SQL and Python to explore user behavior, identify trends, and deliver clear, actionable recommendations that shape the product roadmap.
  • Product Experimentation & Measurement: Support our hypothesis-driven culture by helping design, monitor, and analyze A/B tests for new features. Define and track key product metrics (KPIs) to measure business impact and the return on investment (ROI) of new initiatives.
  • Develop Insightful BI Reporting: Design, build, and maintain intuitive dashboards in our BI platform that track product adoption, user engagement, and experiment performance for a wide range of stakeholders.
  • Build and Maintain Trusted Data Sets: Curate and document the core datasets that serve as the single source of truth for product analytics. Collaborate with the Data Engineering team to ensure data quality, consistency, and scalability.
  • Cross-functional Partnership: Work side-by-side with Data Scientists, Engineering, and Product to define metrics, evaluate experiments, and prioritize data needs. Champion data quality and consistency across teams.

Requirements

  • 3+ years in product analytics, BI development, or a similar data-focused role.
  • Expert SQL skills (window functions, performance tuning) on cloud warehouses (Redshift, Snowflake, BigQuery, etc.).
  • Proven delivery of production dashboards in BI platforms (QuickSight, Tableau, Looker, Power BI, or similar).
  • Proficiency in Python (pandas) for data wrangling and basic statistical analysis.
  • Experience with A/B testing methodologies and statistical analysis.
  • Strong business acumen and a demonstrated ability to connect data insights to product strategy and user needs.
  • Demonstrated ability to move from open-ended questions to polished insights and to communicate them effectively.
  • Comfortable balancing roadmap work with ad-hoc investigative requests.
  • Hospitality, travel, or revenue management experience is a plus but not required.

Profile of the ideal candidate

  • Impact-driven Analyst – Loves digging into data to uncover root causes and opportunities that drive the business forward.
  • Proactive & Curious – Eager to explore data, ask the next question, and challenge assumptions.
  • Low-ego collaborator – Happy to toggle between query tuning, slide creation, and joint problem-solving sessions.
  • Clear communicator – Distills complex findings into concise narratives for technical and business audiences.
  • Organized executor – Manages multiple projects, documents work, and meets deadlines in a fast-moving environment.

About Duetto
Duetto delivers a suite of SaaS cloud-native applications for hospitality businesses to optimize every booking opportunity for greater revenue impact. The unique combination of hospitality experience and technology leadership drives Duetto to look for innovative solutions to industry challenges. The software as a service platform allows hotels, casinos, and resorts to leverage real-time dynamic data sources and actionable insights into pricing and demand across the enterprise. For more information, please visit https://www.duettocloud.com/.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account