Power BI Analytics Developer — Remote-Friendly

Voolkia

Ciudad de Mendoza

Hybrid

ARS 139,086,000 - 185,448,000

Full time

2 days ago
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Benefits offered by this job

Professional growth
Competitive compensation
Exciting projects
Flextime

Job summary

AgileEngine is seeking a Data & Analytics Developer to build Power BI dashboards and reporting solutions turning enterprise data into actionable insights. The role requires 4+ years of Power BI development, strong data modeling with DAX, SQL proficiency, and experience with Snowflake or SAP-based sources, plus upper-intermediate English.

The team collaborates in an Agile environment, partnering with stakeholders to deliver scalable analytics and reusable data models across distributed teams.

Qualifications

  • 4+ years of professional experience developing Power BI dashboards and reports.
  • Strong knowledge of Power BI data modeling, DAX, and visualization best practices.
  • Strong SQL skills and experience with relational and analytical data.
  • Experience with Snowflake or similar cloud-based enterprise data platforms.
  • Experience with SAP HANA, SAP data, or SAP-based source systems.

Responsibilities

  • Partner with business stakeholders to understand processes, KPIs, data definitions, and analytical needs.
  • Design, develop, and maintain Power BI dashboards and reports delivering actionable insights.
  • Translate requirements into data models, metrics, visualizations, and reporting solutions.
  • Coordinate data availability with IT and source-system owners.

Skills

Power BI
DAX
SQL
Snowflake
SAP HANA

Tools

Snowflake
SAP HANA

Job description

AgileEngine is seeking a Data & Analytics Developer to build Power BI dashboards and reporting solutions turning enterprise data into actionable insights. The role requires 4+ years of Power BI development, strong data modeling with DAX, SQL proficiency, and experience with Snowflake or SAP-based sources, plus upper-intermediate English.

The team collaborates in an Agile environment, partnering with stakeholders to deliver scalable analytics and reusable data models across distributed teams.

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