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Salary
≈ $57k – $134k per year (Estimated)
Location
Remote (Colombia)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Oct 13, 2026. Svitla Systems scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Svitla Systems is a global digital solutions and custom software engineering company headquartered in California, with delivery centers across North America, Latin America, Europe, and Asia. Founded in 2003, the company offers end-to-end IT services, including cloud architecture, AI/machine learning integration, data engineering, DevOps, and mobile and web application development.

Svitla Systems Inc. is looking for a HR Data & Insights Analyst for a full-time position (40 hours per week) in Colombia. Our client is a cloud platform for business spend management (BSM). The client empowers companies worldwide with the visibility and control they need to spend smarter and safer. They provide a unified, cloud-based spend management platform that connects hundreds of organizations representing the Americas, EMEA, and APAC with millions of suppliers globally. The platform provides greater visibility into and control over how companies spend money. Small, medium, and large customers have used the platform to bring billions of dollars in cumulative spending under management.

The HR Data & Insights Analyst is a key member of the HR Data and Insights team, working globally across the organization to support strategic initiatives that address both the short- and long-term needs of the business. Using sound analytical methods, the Analyst helps build and maintain the data models, dashboards, and reports that enable scalable growth, strengthen employee engagement, and streamline decision-making. Partnering with HR Business Partners and HR Centers of Excellence (COE), the Analyst supports the implementation of data solutions that empower the modern workforce. With a strong focus on data accuracy and attention to detail, this role is instrumental in executing programs that support the company’s strategic plan and in providing the foundational analytics that drive the overall HR strategy.

Requirements

  • 3+ years of progressive, relevant experience, including working successfully with cross-functional teams.
  • Hands-on experience with SQL, data modeling, and BI tools (Tableau) is required.
  • Intermediate subject matter knowledge of data analytics and a strong understanding of how data models support HR KPIs.
  • A reputation for data accuracy and keen attention to detail.
  • A collaborative approach to partnering with multiple stakeholders and the ability to explain technical concepts in a clear, structured way.
  • The ability to work with general guidance on routine work and take more specific direction on new or ambiguous tasks.
  • Strong presentation and communication skills (written and verbal), with the ability to develop and present clear and concise messages to diverse groups at all levels of an organization and design all related materials.
  • Demonstrated proficiency with MS Office applications, including advanced Excel and PowerPoint.
  • Strong organizational, project management, and time management skills with a bias toward action.
  • Strategic mindset with analytical and problem-solving skills, and the ability to take a thoughtful, data-driven approach to develop meaningful and practical solutions that are simple yet effective.

Responsibilities

  • Apply your knowledge of data analytics, including SQL, data modeling, and ETL/ELT concepts, to support HR and business stakeholders.
  • Work with data warehouses (e.g., Snowflake, AWS) and Tableau to build and maintain standard dashboards and reports.
  • Own discrete components of data models, dashboards, or pipelines, ensuring data integrity and quality within all assigned workstreams.
  • Use prompt engineering across LLMs (e.g., Gemini Enterprise, Claude) for analytics, insights, and processing unstructured data.
  • Clean, structure, and validate data from multiple sources, applying judgment to ensure consistency and reliability.
  • Troubleshoot data issues using standard debugging and query optimization techniques.
  • Collaborate regularly with peers, data engineers, and business stakeholders to gather requirements for analytics interventions and reporting requests.
  • Translate basic business needs into data visualizations and reports, contributing to solutions for our internal partners.
  • Document processes and standard operating procedures to identify and align stakeholders on clear ownership of activities and decisions related to data.
  • Handle sensitive company and employee data with absolute confidentiality and maintain high standards of professional conduct.
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