People Data Analyst

Job not on LinkedIn

🔥 12 hours ago

🇨🇷 Costa Rica – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Build and maintain analytics-ready datasets using SQL, Python, and Databricks • Partner with Data Engineering and data warehouse teams to integrate data sources, including Workday and Greenhouse • Define data requirements and own curation of analytical datasets • Design, develop, and maintain Tableau and Databricks dashboards, AI-powered applications, conversational interfaces, and automated insight delivery through Microsoft Teams and email • Track and analyze workforce metrics including headcount, hiring, attrition, retention, internal mobility, promotions, organizational structure, and representation trends • Lead analytical projects end to end, from scoping and data preparation through analysis, visualization, and stakeholder presentations • Analyze attrition root causes, promotion equity, workforce segmentation, and onboarding effectiveness • Identify workforce trends, emerging risks, and opportunities and translate findings into actionable recommendations • Collaborate with People & Culture leaders and business stakeholders to clarify needs and recommend analytical approaches • Leverage AI tools to improve analytical workflows and develop AI-enabled people analytics capabilities • Ensure data quality, consistency, and governance through trusted metric definitions and accuracy checks • Protect sensitive employee information through appropriate privacy and access controls

🎯 Requirements

• 3–5 years of experience in data analytics, business intelligence, or analytics engineering • Strong SQL proficiency and working knowledge of Python • Experience querying large datasets, transforming data, and developing scalable analytical solutions • Hands-on experience with modern cloud data platforms such as Databricks or Snowflake; Databricks strongly preferred • Experience in analytics data modeling and building curated, analysis-ready datasets and tables • Experience building production-ready dashboards and BI solutions using Tableau, Databricks AI/BI Dashboards, Power BI, or comparable platforms • Understanding of calculated fields, performance optimization, and governance • Strong data visualization and storytelling skills • Stakeholder management, consulting, and communication skills • Critical thinking, problem-solving, and organizational skills • Working knowledge of HR, recruiting, or workforce data and key people metrics • Understanding of data privacy and confidentiality • Demonstrated adoption of AI tools in analytical workflows, including evaluating effectiveness and validating outputs • Fluency in English, written and verbal • Experience with HR and recruiting platforms such as Workday, Greenhouse, Qualtrics, or comparable systems is a strong plus • Experience developing AI-powered or data-driven applications, conversational analytics interfaces, Databricks Apps, or automated insight delivery solutions is highly desirable • Knowledge of statistical analysis or predictive modeling is a plus • Exposure to workforce planning, HR analytics, organizational effectiveness, data governance, or security models for sensitive information is an advantage

🏖️ Benefits

• Fully employer-paid medical, dental, and vision insurance for employees and eligible dependents, including virtual care services • Employee Assistance Program (EAP) with confidential therapy sessions • Legal and financial counseling services • Company-provided life and disability insurance • Vacation time and statutory holidays • Additional company-wide VeeaMe Days dedicated to rest, wellbeing, and self-care • Competitive maternity, paternity, adoption, and other leave benefits • Paid volunteer time each year through the Veeam Cares program