Location: Escazú, San José, Costa Rica

Salary: $4,676.07USD/Month | $2.3 Million CRC

Campbell.HR is working with Duracell Batteries to place their next Enterprise Analytics Engineer. 

Duracell is an iconic brand and the world’s leading manufacturer of high-performance alkaline batteries, power cells, and rechargeables. We are the most trusted source of personal power because of our sustained commitment to innovation, producing more compact, more powerful, and longer lasting batteries.

We are seeking an experienced Analytics Engineer to lead the architecture, design, and implementation of scalable global data solutions. This role goes beyond technical delivery—it requires end-to-end ownership of analytical capabilities, from partnering with global stakeholders to define needs, to architecting data models and delivering insights across regions.

The ideal candidate combines deep technical acumen with strong communication skills, proactively engaging with global business partners to align data initiatives with enterprise goals. You will own and manage the design and build of data models, data pipelines, and visualizations, ensuring consistency, scalability, and business value across regions and functions.  You’ll serve as a trusted advisor and thought leader, mentoring peers, guiding data governance practices, and   fostering a culture of data excellence across the organization.

Position Responsibilities:

• Lead the design and implementation of robust, end-to-end analytics models and data pipelines across multiple platforms and sources.
• Manage technical offshore resources to bridge between them and business units—guiding, influencing, and ensuring delivery
• Interface with stakeholders of all levels efficiently, including C-level executives
• Own the global architecture, design, and governance of information delivery solutions (integration, models, report delivery)
• Champion data governance by maintaining artifacts such as system health metrics, data catalogs, policies, and standards.
• Translate complex business challenges into scalable, strategic data solutions that drive decision-making.
• Ensure data accuracy, reliability, and usability in visualizations and reports; proactively identify and resolve data issues.
• Promote data literacy across the organization by training business users and advocating for self-service analytics.
• Provide guidance and mentorship to team members and peers, fostering a culture of knowledge sharing and continuous improvement.
• Ensure compliance with enterprise data privacy and security policies.
• Contribute to and help evolve IT architecture standards, data strategy, and best practices.
• Stay current on emerging data technologies and trends; identify opportunities to improve existing systems and processes.
• Lead or contribute to cross-functional AI initiatives, pilots, or special projects that enhance data capabilities enterprise-wide.

Qualifications:

You may be a strong candidate if you have:

• Proven experience leading or significantly contributing to implementations of analytics initiatives across diverse business teams.
• Hands-on development experience in data visualization tools like Microsoft PowerBI, with a strong understanding of best practices.
• Expertise in data modeling, ETL/ELT processes with SQL, Python, DBT, Snowflake, and SAP HANA.
• Experience building complex data flows using Azure Data Factory, Azure Logic Apps, and Microsoft Fabric.
• Ability to communicate technical insights clearly and confidently to both technical and non-technical audiences.
• A collaborative mindset with excellent problem-solving and critical thinking skills.
• High attention to detail and a commitment to delivering high-quality, trustworthy data solutions.

Preferred Experience:

• Bachelor’s degree in Computer Science, Information Systems, or a related technical field.
• 3+ years experience designing, building, and supporting enterprise data and analytics solutions.
• 3+ years proven experience with at least two of the following technologies: Microsoft PowerBI/Fabric, Azure Data Factory, Azure Logic Apps/Functions, SAP HANA, Snowflake, and Python.
• Experience with AI, machine learning, or other advanced analytics concepts is a plus.
• Knowledge of data cataloging or governance tools is a plus.
• Relevant certifications in Microsoft PowerBI, Microsoft Fabric, Azure, Snowflake are a plus.