Data & Analytics Developer ID90559

AgileEngine; Región Centro; Hybride; MXN 600 000 - 1 000 000; Plein temps

Avantages offerts par ce poste

Professional growth

Competitive compensation: USD-based

Exciting projects

Flextime

Résumé du poste

AgileEngine in Mexico is seeking a Data & Analytics Developer to design and maintain Power BI dashboards and reporting solutions that turn enterprise data into actionable business insights. You will translate business requirements into data models and visuals, collaborating with IT and data owners to ensure data availability.

You will work with Snowflake, SAP HANA, and SAP data sources, implement ETL/ELT processes, and promote reusable data models and KPI definitions.

Qualifications

• 4+ years of Power BI development experience.
• 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.
• Experience with data modeling, transformation, and integration concepts.
• Strong business analysis and requirements-gathering skills.
• Ability to translate business processes into data requirements and work with stakeholders.
• Understanding of data quality, governance, KPIs, and data consistency.
• Experience onboarding data from enterprise source systems.
• Strong troubleshooting across data solution layers and clear data communication.
• Upper-intermediate English level.

Responsabilités

• Partner with stakeholders to understand KPIs, data definitions, and analytical needs.
• Design, develop, and maintain Power BI dashboards and reports for actionable insights.
• Translate requirements into data models, metrics, visualizations, and reporting solutions.
• Coordinate data availability with IT and source-system owners.
• Onboard and integrate data into the enterprise platform (Snowflake, SAP HANA).
• Troubleshoot data and reporting issues across source → platform → semantic/model → Power BI.
• Collaborate with data owners and tech teams to improve data quality and reliability.
• Promote reusable data models and standard KPI definitions.
• Provide guidance on effective data visualization for decision-making.
• Document data definitions, reporting logic, KPIs, and solutions.
• Work in an Agile delivery environment with distributed teams.

Connaissances

Power BI dashboards

Power BI data modeling

DAX

SQL

Data modeling

Data governance

ETL/ELT

Stakeholder communication

Outils

Snowflake

SAP HANA

SAP data

Description du poste

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.
• - Upper-intermediate English level.

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.
• - 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.

PERKS AND BENEFITS

• - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
• - Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
• - Exciting projects: Modern solutions with Fortune 500 and top product companies.
• - Flextime: Flexible schedule with remote and office options.