Data Analytics Engineer

🔥 12 minutes ago

🇨🇷 Costa Rica – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

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Veeam Software

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2006

💼 Consulting

📦 Logistics

☁️ SaaS

💰 $500M Private Equity Round on 2019-01

Consulting • Logistics • SaaS

Veeam Software is a global leader in data resilience and protection, offering self-managed data protection software for hybrid and multi-cloud environments. Their Veeam Data Platform provides comprehensive solutions for data backup, recovery, and security, featuring zero-trust principles and AI-powered tools for data intelligence. Veeam's offerings include secure backup and storage services for platforms such as Microsoft 365, AWS, and Google Cloud, supporting diverse workloads including virtual, physical, and SaaS environments. With a reputation for innovation and customer trust, Veeam serves a broad range of industries, ensuring data resilience against disruptions such as ransomware attacks. Their solutions enable businesses to achieve data freedom, secure storage, and efficient management, reinforcing their position as a top vendor in enterprise backup and recovery software worldwide.

📋 Description

• Report directly to the Director, Data Analytics • Contribute to the technical design, development, and enhancement of Veeam’s Corporate Metrics data products, including ARR • Implement the technical roadmap for corporate metrics data assets • Create and maintain data pipelines, models, and storage solutions for the Corporate Metrics data mart • Build a semantic layer enabling business users to access corporate metrics through AI tools using natural language • Design and maintain dimensional data models, including star and snowflake schemas, conformed dimensions, fact tables, and slowly changing dimensions • Design and implement scalable Databricks jobs supporting sources of truth for corporate metrics reporting and analytics • Collaborate with Data Quality and Governance on data lineage, segmentation, and sources of truth • Work with Central Data Engineering, Revenue Intelligence, and Corporate Technology teams on metric definitions, requirements, and reporting needs • Translate business requirements into technical specifications and serve as the technical point of contact for corporate metrics data assets • Identify opportunities to improve data processes, automation, and reporting capabilities • Manage application changes through source control, code review, and testing in accordance with SOX and other compliance requirements • Own the lifecycle of corporate metrics sources of truth in Databricks, including design, development, release, support, and troubleshooting • Proactively address data issues, risks, and gaps • Use AI-assisted development responsibly by reviewing and testing generated code • Ensure data assets and change processes comply with security standards and regulations such as SOX and GDPR

🎯 Requirements

• Bachelor’s or master’s degree in Business Analytics, Computer Science, Engineering or a related quantitative field • 3+ years of experience in data analytics or analytics engineering, with significant experience on corporate reporting data projects • Strong SQL skills (DDL and DML) • Hands-on experience designing and building dimensional data models, including Kimball methodology, star schemas, fact and dimension tables, and slowly changing dimensions • Proficiency with modern data engineering tools and platforms, such as Python, SQL, and Databricks • Experience building semantic layers or metric stores and exposing data to AI or natural-language tools • Familiarity with DevOps processes and tools like GitHub or Azure DevOps • Understanding of ARR and other SaaS and corporate metrics • Strong analytical skills and experience with AI-driven solutions • Excellent communication and stakeholder management abilities • Experience with external reporting needs for a public company • Familiarity with Claude Code, ChatGPT, or other AI/ML-driven development tools • Experience with Salesforce and data warehouse migrations or integrations • Knowledge of automated data quality testing frameworks • Position is based in San Jose, Costa Rica; applicants permanently located outside Costa Rica may be declined • All applications must be submitted in English

🏖️ Benefits

• Unlimited paid time off, plus 3 global VeeaMe Days for self-care • Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents • Medical, dental, and vision coverage from day one • Mental health support, therapy sessions, and digital wellness tools via SupportLinc EAP • 401(k) retirement plan with matching contributions up to annual limits • Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time • AirVet: 24/7 virtual veterinary care at no cost • Legal services, identity protection, and supplemental health insurance options • Tax-advantaged spending accounts for healthcare, dependent care, and commuting • Professional training and education, including courses and workshops, internal meetups, unlimited access to LinkedIn Learning, Athena, and O’Reilly, and mentoring through MentorLab

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