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Senior Data Product Analyst, Strategy and Operations

๐Ÿ‡ฆ๐Ÿ‡ท Argentina

Looker

Tableau

E-Commerce

Management

AWS

GCP

Azure

Finance

Machine Learning

Amazon

Project Management

Sales

Data Science

SQL

Analyst

Senior Data Product Analyst, Strategy and Operations

from ๐Ÿ‡ฆ๐Ÿ‡ท Argentina

๐Ÿš€ Join Our Remote Data Products & Machine Learning Startup! ๐Ÿš€


At Muttdata, 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-orientedSenior Data Product Analyst to join our Strategy and Operations team ๐Ÿถ๐Ÿš€. 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 โ€” from experimentation to launch, post-launch, and scale.

This role has high visibility and is crucial to shaping how we prioritize, evaluate, and grow our product portfolio. Strong analytical rigor, curiosity, and the ability to translate data into clear recommendations for both technical and executive audiences are key to succeeding in this fast-paced, collaborative environment.

๐Ÿš€ 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.

๐ŸŒŸ Our Partnerships

  • Amazon Web Services
  • Astronomer
  • Databricks

๐ŸŒŸ Our Values

  • ๐Ÿ“Š We are Data Nerds
  • ๐Ÿค— We are Open Team Players
  • ๐Ÿš€ We Take Ownership
  • ๐ŸŒŸ We Have a Positive Mindset
ย 
๐Ÿ” Curious about what weโ€™re up to? Check outour case studies and dive into our blog post to learn more about our culture and the exciting projects weโ€™re working on! ๐Ÿš€

Responsibilities ๐Ÿค“

  • 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.ย 

Required Skills ๐Ÿ’ป

  • 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 โ€” 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.ย 

๐ŸŽ Perks

  • ๐ŸŒ Remote-first culture โ€“ work from anywhere!
  • ๐Ÿš€ย In-CompanyEnglish Lessons.
  • ๐Ÿš€ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • ๐ŸŽ‚ Birthday off + an extra vacation week (Mutt Week! ๐Ÿ–๏ธ)
  • ๐Ÿค Referral bonuses โ€“ help us grow the team & get rewarded!
  • โœˆ๏ธ๐Ÿ๏ธ Annual Mutters' Trip โ€“ an unforgettable getaway with the team!
  • ๐Ÿ‘ถ Monthly Childcare Reimbursementย  โ€“ Because supporting families matters too
  • Maslow:ย Monthly credits to spend in our benefits marketplace.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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by @maxrusakovic