Data Analytics Senior

Mutt Data Β· full-time Β· posted 3 Aug

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The actual job

Data Analytics Senior

Mutt Data

Seniority
Senior
Top skills
SQL Β· AWS Β· Azure
Engagement
Full-time
Posted
7 days ago

What the posting asks for

  • 5 years of experience
  • PySpark
  • Delta Lake
  • Microsoft Fabric
  • SQL

Employer text

The posting, in its own words

πŸš€ Join Our Data Products and Machine Learning Development Remote Startup! πŸš€
 
Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
 
We’re looking for a Data Analytics Senior to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! πŸΆπŸš€

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€“

  • Build and maintain interactive dashboards and reports in Power BI to support business and operational decision-making.
  • Develop and optimize data models, datasets, and semantic layers using Databricks and SQL.
  • Design, validate, and automate data transformations to ensure high-quality, reliable reporting.
  • Collaborate with Data Engineering and business stakeholders to define reporting requirements and KPIs.
  • Monitor data quality, troubleshoot reporting issues, and ensure consistency across dashboards and data sources.
  • Create and maintain documentation for dashboards, metrics, and reporting processes to support scalability and knowledge sharing.

Required Skills πŸ’»

  • 5+ years of experience building production data pipelines.
  • Strong experience with PySpark, Delta Lake, and Medallion architectures.
  • Hands-on experience with Microsoft Fabric (Lakehouses, Notebooks, Data Pipelines, OneLake).
  • Strong SQL skills (CTEs, window functions, analytical queries).
  • Experience building reliable, production-grade pipelines (backfills, reruns, monitoring, late-arriving data).
  • Familiarity with the Azure ecosystem (Blob Storage, Entra ID, Key Vault).
  • Advanced English, with the ability to collaborate effectively in distributed teams.

🎁 Perks

  • Remote-first culture – work from anywhere! 🌍
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • In-Company English Lessons.
  • Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
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.