Job Description

Reference No: 2618Office Type: OfficeZalaris is a rapidly expanding global leader in Tech HR and payroll solutions. We're big enough for you to grow and be a part of an international environment, yet small enough for you to be visible and truly make a difference.As a fast-growing company, we embrace a flat hierarchy, fostering open communication and short decision-making paths that encourage creative and innovative thinking.Zalaris' culture is rooted in values inspired by Nordic working ethos: everyone matters, aiming high and team spirit. We're committed to building a diverse, inclusive, and authentic workplace where everyone brings their own uniqueness. Zalaris' employees come from different backgrounds, cultures, and walks of life, and we are proud of it.Job Purpose:We are looking for a strategic and driven Senior HR Data Analyst to lead our transformation into a data-driven and insight-centric HR department. This role will build and deliver robust, actionable HR data insights, providing strategic value to the organization. The successful candidate will proactively develop data models, create dashboards, and leverage predictive analytics to guide decision-making and improve HR processes. This individual will be responsible for making critical workforce insights easily accessible, interpreting complex data, and continuously presenting and following up on key findings to senior leadership.Key Responsibilities:1. Strategic Insight Development:

• Develop and execute a comprehensive strategy for HR data and analytics aligned with the company's vision and objectives.
• Proactively identify areas where HR data can provide insights to drive organizational performance and improve employee experience.
• Create and maintain a roadmap for HR analytics capabilities, focusing on predictive and prescriptive analytics.

2. Data Analysis & Reporting:

• Build scalable and accessible dashboards that provide real-time HR insights to key stakeholders.
• Conduct in-depth analyses of workforce trends, employee performance, engagement levels, and other key HR metrics.
• Deliver strategic reports and presentations that highlight critical data-driven insights and inform HR initiatives.

3. Predictive and Prescriptive Analytics:

• Leverage data science techniques to forecast future workforce trends, attrition risks, and talent needs.
• Identify root causes of HR challenges, such as attrition or low engagement, and recommend data-driven solutions.
• Develop models to understand behaviors of high and low performers and guide leadership on talent management strategies.

4. Collaboration & Communication:

• Act as a data advocate within HR, promoting a culture of evidence-based decision-making.
• Collaborate closely with HR leaders and other departments to identify their data needs and ensure integration across business functions.

Communicate complex data insights in an understandable and actionable manner to non-technical audiences.5. Technology & Automation:

• Identify and implement HR technology solutions that enhance data collection, analytics, and reporting capabilities.
• Work with IT to ensure data integrity, security, and integration across HR systems.
• Explore the use of automation (e.g., RPA) to streamline HR operations and enhance data utilization.

6. Continuous Improvement:

• Regularly review and refine analytics processes to align with evolving business needs.
• Keep abreast of industry trends and new technologies in data analytics to maintain a cutting-edge HR data strategy.
• Train and mentor HR team members to build their data literacy and analytical capabilities.

Qualifications :

• Education: Bachelor's degree in Data Science, Human Resources, Business Administration, Statistics, or a related field; a Master's degree is a plus.
• Experience: 7+ years of experience in data analytics, preferably within HR or a related field, with a track record of using data to drive strategic decisions

Technical Skills:

• Proficiency in data visualization tools (e.g., Power BI, Tableau) and HRIS platforms.
• Strong knowledge of statistical analysis and predictive modeling. (Tableau & R)
• Familiarity with data manipulation languages (e.g., SQL, Python) is an advantage.

Soft Skills:

• Strong communication and storytelling abilities, with the capacity to convey data-driven insights to a diverse audience.
• Excellent project management skills.
• Analytical and problem-solving mindset with a proactive approach to driving change.

What We Offer:

• A strategic role with the opportunity to impact the organization significantly.
• Collaboration with an innovative and supportive leadership team.
• Competitive salary and benefits package.
• Opportunities for continuous learning and professional development.

Join us at Zalaris and be a part of a vibrant, collaborative community of Tech HR and payroll experts dedicated to growing and innovating.

Zalaris