Senior .Net/Sql Analytics Platform Engineer (Remote)

Peopleforce Ltd.; Buenos Aires; Remote; ARS 107,614,000 - 169,108,000; Full time

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. You will work across business units to deliver analytics that drive strategic decisions.

The role requires deep experience with Power BI, data modeling, SQL, and cloud data platforms like Snowflake or SAP environments. You will collaborate with stakeholders to translate complex requirements into reliable data solutions.

Qualifications

• 4+ years of experience developing Power BI dashboards and reports.
• Strong Power BI data modeling, DAX, and visualization practices.
• Strong SQL skills with relational/analytical data.
• Experience with Snowflake or similar cloud platforms.
• Experience with SAP HANA, SAP data, or SAP source systems.
• Experience with data modeling, transformation, and integration.
• Strong business analysis and requirements gathering.

Responsibilities

• Partner with business stakeholders to understand business processes, KPIs, data definitions, and analytical needs.

Skills

Power BI

Data modeling

SQL

Snowflake

SAP HANA

Data integration

ETL/ELT

Requirements gathering

Stakeholder comms

Data governance

Troubleshooting

Business analysis

KPI definitions

Data quality

Agile

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Data & Analytics Developer to build Power BI dashboards and reporting solutions that turn enterprise data into actionable business insights.

MUST HAVES

• 4+ years of strong 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.
• Experience with data modeling, transformation, and integration concepts.
• Strong business analysis and requirements-gathering skills.
• Ability to understand business processes and translate them into technical and data requirements.
• Ability to work effectively with both business and technical stakeholders.
• Understanding of data quality, data governance, KPI definitions, and data consistency.
• Experience coordinating or supporting the onboarding of data from enterprise source systems.
• Strong troubleshooting and problem-solving skills across multiple layers of a data solution.
• Strong communication skills and the ability to explain data and technical concepts to non-technical audiences.

NICE TO HAVES

• Experience designing enterprise-level semantic models and reusable datasets.
• Experience establishing standardized KPIs and reporting definitions across multiple business areas.
• Understanding of enterprise data architecture and modern data platform concepts.
• Experience working with ETL/ELT processes and data transformation pipelines.
• Experience with additional SAP technologies or SAP analytics environments.
• Experience working in an Agile environment.
• A proactive, self-starter mindset with the ability to independently investigate data and reporting challenges.
• Strong attention to detail and a focus on delivering reliable, intuitive, and maintainable analytics solutions.
• A desire to continually improve reporting practices, data quality, and the overall user experience.

WHAT YOU WILL DO

• Partner with business stakeholders to understand business processes, KPIs, data definitions, and analytical needs