**What you will do**
**Data Strategy & Analysis**:
- Develop and maintain scalable data models, pipelines, and dashboards to consolidate information from multiple sources (AWS DWH, Google Sheets, and other systems);
- Conduct deep-dive data analysis and create predictive models to support decision-making processes;
- Design and execute A/B experiments to measure the impact of strategic initiatives;
- Monitor key KPIs, analyze trends, and provide actionable insights to business leaders.
**Data Governance & Infrastructure**:
- Collaborate with data owners and cross-functional stakeholders to ensure data reliability, governance, and accessibility;
- Identify and implement solutions for data quality and availability gaps;
- Ensure alignment with Data Mesh principles, supporting decentralized data ownership while maintaining overall data integrity.
**Collaboration & Stakeholder Engagement**:
- Partner with several teams and areas to define and improve ETL processes, data warehouse architecture, and automation workflows;
- Educate stakeholders on data best practices, enabling them to make data-driven decisions;
- Act as a bridge between technical and non-technical stakeholders, translating business needs into analytical solutions.
**Must haves**
- **3-5 years** of experience in **data analytics**, **business intelligence**, **or a related field**;
- Strong expertise in **SQL & PostgreSQL** for querying and data modeling;
- Strong experience with **Looker Studio** and the **G Suite**;
- **Soft Skills**:



Strong communicator with the ability to convey data insights to both technical and non-technical audiences; Effective collaborator, working closely with cross-functional teams to turn data into action.
- Upper-Intermediate English level.
**Nice to haves**
- Ability to integrate and work with multiple data sources, including Google Sheets, AWS DWH, and other disparate systems;
- Experience in data governance and working within Data Mesh frameworks;
- Ability to work autonomously and proactively solve complex data challenges;
- Understanding of relational databases, data warehousing, and scalable ETL pipelines;
- Familiarity with IT-driven company operations, including software development workflows and agile methodologies;
- Experience in IT-driven or startup environments;
- Hands-on experience with data process documentation and implementation.
**The benefits of joining us**
- **Professional growth**:Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- **Competitive compensation**:We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- **A selection of exciting projects**:Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- **Flextime**:Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive.
- Good luck! We're rooting for you! _
Work Location: Remote

📌 Business Data Analyst (Middle) Id34676 (México)
🏢 Agileengine
📍 México