Data Analytics Senior
Argentina
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time โ employment source
Employment type in the employerโs posting: Remote Full Time
From the employerโs posting
What youโll work on
Full postingBuild and maintain Power BI dashboards and reports
Develop and optimize data models and semantic layers in Databricks and SQL
Design, validate and automate data transformations for reliable reporting
Define reporting requirements and KPIs with engineering and business teams
Monitor data quality and troubleshoot reporting issues
From the employerโs posting
Build and maintain interactive dashboards and reports in Power BI
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.
Tools in this posting
- SQL
- AWS
- Azure
- Databricks
- dbt
- Delta Lake
- Power BI
- PySpark
- GCP
Source โ Tool mentions in context
- 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.
- 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).
๐ Our Partnerships - Amazon Web Services - Astronomer
- Remote-first culture โ work from anywhere! ๐ - AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered - In-Company English Lessons.
- 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.
- Astronomer - Databricks ๐ Our Values
- 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).
Responsibilities ๐ค - 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 11, 2026 ยท 78 days ago
- Recorded sightings
- 10
- Last seen by us
- Oct 28, 2026
- Employer says posted
- Aug 3, 2026
These dates show when we found the posting. Check the employerโs website to confirm it is still accepting applications.
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Job description
๐ 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.
๐ Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
๐ Our Values
- ๐ We are Data Nerds
- ๐ค We are Open Team Players
- ๐ We Take Ownership
- ๐ We Have a Positive Mindset
Responsibilities ๐ค
- 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 ๐ป
- 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.
๐ Perks
- Remote-first culture โ work from anywhere! ๐
- AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- In-Company English Lessons.
- Birthday off + an extra vacation week (Mutt Week! ๐๏ธ)
- Referral bonuses โ help us grow the team & get rewarded!
- Maslow: Monthly credits to spend in our benefits marketplace.
- โ๏ธ๐๏ธ Annual Mutters' Trip โ an unforgettable getaway with the team!
Employment type
Remote Full Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Argentina
๐ Join Our Data Products and Machine Learning Development Remote Startup! ๐ Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
More source context
๐ Perks - Remote-first culture โ work from anywhere! ๐ - AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
More relevant text appears in the full description.
- Work authorization
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