Senior Data Product Analyst

🚀 What We Do

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.

🌟 Our Partnerships

Amazon Web Services
Astronomer
Databricks

🌟 Our Values

📊 We are Data Nerds
🤗 We are Open Team Players
🚀 We Take Ownership
🌟 We Have a Positive Mindset
 
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

Responsibilities 🤓

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. 

Required Skills 💻

• 5+ 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. 

🎁 Perks

• 🌍 Remote-first culture – 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.