Power BI & Analytics Lead - Remote

Atomic Hr

Ciudad de Mendoza

Hybrid

ARS 139,086,000 - 200,903,000

Full time

2 days ago

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Benefits offered by this job

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Job summary

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

You will work with stakeholders and distributed teams in an Agile environment to deliver scalable analytics solutions.

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 working with relational and analytical data.
Experience working with Snowflake or similar cloud-based enterprise data platforms.
Experience working with SAP HANA, SAP data, or SAP-based source systems.

Responsibilities

Partner with business stakeholders to understand business processes, KPIs, data definitions, and analytical needs.
Design, develop, and maintain Power BI dashboards and reports that provide clear and actionable business insights.
Translate business requirements into appropriate data models, metrics, visualizations, and reporting solutions.
Work with IT and source-system owners to identify required data, understand source structures, and coordinate data availability.
Support the onboarding and integration of data into the enterprise data platform, including Snowflake and SAP HANA data sources.
Troubleshoot data and reporting issues across the complete flow from source system → data platform → semantic/model layer → Power BI.
Collaborate with business data owners and technical teams to improve data consistency, quality, and reliability.
Promote reusable data models, common KPI definitions, and scalable analytics solutions instead of isolated reports.
Provide guidance to stakeholders on effective data visualization and the use of analytics to support decision-making.
Document data definitions, reporting logic, KPIs, and technical solutions.
Work in an Agile delivery environment and collaborate with distributed and remote teams.