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Senior Data Product Analyst, Strategy and Operations

Role overview

Qualifications

  • 4+ years of experience in analytics, data science, or business intelligence
  • Strong SQL skills, including writing and optimizing queries
  • Solid understanding of statistics and experience designing and running A/B tests
  • Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, or equivalent work experience

Responsibilities

  • Partner with product managers and engineers to measure results and deliver insights on products across their lifecycle
  • Identify key metrics and insights to track progress on high-priority initiatives
  • Develop analytics frameworks to run A/B tests and measure the success of product features
  • Collaborate cross-functionally to ensure data-driven decision-making across the organization

About the company

MUTT DATA logo

MUTT DATA

Artificial Intelligence & Machine Learning Services

Mutt Data is a technology company that helps startups and big companies build and implement Machine Learning solutions that drive real business results. Whether you work in finance, insurance, advertising, telcos, on-demand services or e-commerce, our solutions will help you get ahead of your competition with the latest technologies, techniques and best practices We Are Astronomer & Amazon Consulting Partners. We Are #DataNerds.

Company details

Company typeScaleup
IndustryArtificial Intelligence & Machine Learning Services
Company size51 - 200

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Job description

πŸš€ Join Our Remote Data Products & Machine Learning Startup! πŸš€


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-oriented Senior Data Product Analyst to join our Strategy and Operations team πŸΆπŸš€. 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 β€” 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.


πŸš€ 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
  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset
  •  
    πŸ” 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! πŸš€

    Responsibilities πŸ€“
  • 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 πŸ’»
  • 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 β€” 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!
  • πŸš€ In-Company English Lessons.
  • πŸš€ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • πŸŽ‚ Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • 🀝 Referral bonuses – help us grow the team & get rewarded!
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
  • πŸ‘Ά Monthly Childcare Reimbursement  – Because supporting families matters too
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • Apply once. Then go straight to the hiring manager.

    After you apply, unlock the direct contact details of the people who actually make the call. A quick follow-up makes you 5x more likely to land an interview.

    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
    Unlocked after you apply
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