ArgentinaSenior Data Product Analyst, Strategy and Operations
1 мес. назад
ArgentinaLATAMSeniorRemote
data analysismachine learning
Senior Data Product Analyst focused on strategy and operations, driving impact and growth of AI-powered data products through analysis and collaboration with product management and strategy teams.
О компании
- 🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At , we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. We're looking for a proactive, analytical, and business-oriented Senior Data Product Analyst to join our Strategy and Operations team 🐶🚀. This person will be the resident expert on measuring and driving impact across our AI-powered products, acting as a strategic thought partner to Product Management and Strategy teams throughout the product lifecycle — from experimentation to launch, post-launch, and scale. This role has high visibility and is crucial to shaping how we priori
Обязанности
- Partner with product managers and engineers to measure results and deliver insights on products across their lifecycle: experimentation, launch, post-launch, and at scale.
- Identify key metrics and insights to track progress on high-priority initiatives, including new AI product launches.
- Develop analytics frameworks to run A/B tests and measure the success of product features and initiatives.
- Uncover insights that help identify new product opportunities and maximize the performance of existing ones.
- Present findings and recommendations to product leadership and executive stakeholders to inform the roadmap.
- Identify areas of opportunity within existing launches and mature products.
- Collaborate cross-functionally to ensure data-driven decision-making across the organization.
Условия
- 🌍 Remote-first cultur e – work from anywhere!
- 🚀 In-Company English Lessons.
- 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
- 🤝 Referral bonuses – help us grow the team & get rewarded!
- ✈️ 🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
- 👶 Monthly Childcare Reimbursement – Because supporting families matters too
- Maslow : Monthly credits to spend in our benefits marketplace.
Другое
- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
- Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
- Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
- Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
- Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
- Amazon Web Services
- Astronomer
- Databricks
- 📊 We are Data Nerds
- 🤗 We are Open Team Players
- 🚀 We Take Ownership
- 🌟 We Have a Positive Mindset
- 4+ years of experience in analytics, data science, or business intelligence, with hands-on experience using a data visualization tool (Looker, Tableau, Qlikview, MicroStrategy, or similar).
- Strong SQL skills, including writing and optimizing queries in a business environment.
- Solid understanding of statistics and experience designing and running A/B tests.
- Familiarity with data warehouse architecture, ETL processes, and modern reporting/analytics tools and environments.
- Ability to manage fast-paced, dynamic projects in a highly organized way.
- Strong communication skills, with experience presenting analysis results to stakeholders to drive strategic decisions.
- Natural curiosity and analytical rigor — you like asking "why?" and using data and logic to explore solutions.
- Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, or equivalent work experience.