Human Resources

Senior HR Data Analyst

Looking to hire your next Senior HR Data Analyst? Here’s a full job description template to use as a guide.

About Vintti

Vintti is a cutting-edge staffing agency revolutionizing the way US companies build their teams. Leveraging advanced technology and embracing the power of remote work, we connect SMBs, startups, and firms across the United States with top-tier talent from Latin America. Our platform seamlessly integrates professionals into US business ecosystems, regardless of physical borders. Vintti operates on the principle of a borderless future of work, where skills and expertise trump geographical constraints.

Description

A Senior HR Data Analyst plays a pivotal role in leveraging data to drive strategic Human Resources decisions. This role involves analyzing complex HR datasets to uncover trends, metrics, and insights that inform workforce planning, talent management, and overall HR performance. Utilizing advanced statistical methods and data visualization tools, the Senior HR Data Analyst provides actionable recommendations to optimize employee engagement, retention, and productivity. By bridging the gap between data and HR strategy, this role is crucial for enhancing organizational efficiency and fostering a data-driven culture within the HR department.

Requirements

- Bachelor's degree in Human Resources, Business Administration, Data Science, Statistics, or a related field.
- Minimum of 5 years of experience in HR data analysis or a similar role.
- Proficiency with data analysis tools such as Excel, Power BI, Tableau, or similar.
- Strong understanding of HR metrics and key performance indicators.
- Experience using statistical tools and software such as R, Python, SAS, or SPSS.
- Knowledge of HR systems and databases such as SAP, Workday, or Oracle HCM.
- Solid understanding of data governance and data quality principles.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration skills.
- Ability to translate complex data into actionable insights.
- Experience with predictive analytics and data modeling.
- Familiarity with data privacy regulations such as GDPR and CCPA.
- Ability to perform detailed audits and maintain high data accuracy.
- Proficiency in creating data visualizations and dashboards.
- Strong project management skills.
- Ability to work independently and as part of a team.
- High attention to detail and organization.
- Continuous learning mindset with a keen interest in keeping up with HR analytics trends.

Responsabilities

- Analyze and interpret complex HR data sets to support strategic decision-making.
- Develop and generate detailed HR reports and dashboards.
- Collaborate with HR partners and business leaders to identify data needs.
- Perform regular audits and data quality checks.
- Create advanced data visualizations to present findings and trends.
- Use statistical tools and models to identify patterns, trends, and correlations.
- Conduct predictive analyses to forecast HR needs and trends.
- Develop and maintain HR data models and automated dashboards.
- Assist in the design and implementation of HR data governance policies.
- Support HR technology projects with data requirements and validation.
- Provide training and support on data interpretation and usage.
- Work with IT and other departments for data system integration.
- Monitor and report on key HR performance indicators.
- Conduct ad hoc data analyses and produce HR reports.
- Ensure compliance with data privacy regulations.
- Improve HR data processes and systems for better efficiency.
- Stay updated with HR analytics trends, tools, and best practices.
- Provide actionable insights to improve HR policies and practices.
- Facilitate employee surveys and analyze survey data.
- Collaborate with HRIS specialists to optimize data management processes.

Ideal Candidate

The ideal candidate for the Senior HR Data Analyst role will have a proven track record of at least 5 years in HR data analysis or a similar capacity, backed by a Bachelor's degree in Human Resources, Business Administration, Data Science, Statistics, or a related field. This individual will demonstrate exceptional analytical acumen and a passion for delving into complex data sets to drive strategic decision-making. Proficiency in data analysis tools like Excel, Power BI, Tableau, and familiarity with statistical software including R, Python, SAS, or SPSS is essential. Solid experience with HR systems and databases such as SAP, Workday, or Oracle HCM, coupled with a thorough understanding of HR metrics, data governance, and data quality principles, will set this candidate apart. They will possess excellent communication skills—it is crucial they can translate complex data insights into clear, actionable recommendations for stakeholders. The candidate will thrive in collaborative environments, working seamlessly with HR partners, business leaders, IT, and other departments, showcasing strong project management and organizational skills that enable them to handle multiple projects independently and efficiently. A continuous learner, they will stay abreast of the latest HR analytics trends, tools, and best practices, bringing innovative thinking and a solutions-oriented mindset to the team. Their strong background in predictive analysis, advanced data visualization, and data modeling will be complemented by a deep understanding of data privacy regulations such as GDPR and CCPA. Additionally, they will exhibit an exceptional attention to detail, strong problem-solving abilities, and a proactive approach in seeking continuous improvements to HR data processes. A customer-focused attitude and the ability to handle confidential information with the highest level of integrity are also key attributes, as is their enthusiasm for training and supporting team members in data interpretation and usage.

On a typical day, you will...

- Analyze and interpret complex HR data sets to support strategic decision-making.
- Develop and generate detailed HR reports and dashboards that provide insights on key HR metrics.
- Collaborate with HR partners and business leaders to identify data needs and ensure data integrity.
- Perform regular audits and data quality checks to maintain high standards of data accuracy.
- Create advanced data visualizations to effectively present findings and trends to stakeholders.
- Use statistical tools and models to identify patterns, trends, and correlations in HR data.
- Conduct predictive analyses to forecast future HR needs and trends.
- Develop and maintain HR data models and automated dashboards using tools like Power BI, Tableau, or similar.
- Assist in the design and implementation of HR data governance policies and procedures.
- Support HR technology projects by providing data requirements and performing data validation.
- Provide training and support to HR team members on data interpretation and usage.
- Work closely with IT and other departments to ensure seamless integration and quality of HR data systems.
- Monitor and report on key HR performance indicators such as employee turnover, headcount, and compensation analytics.
- Conduct ad hoc data analyses and produce reports on various HR topics as requested.
- Ensure compliance with data privacy regulations and secure handling of employee data.
- Continuously seek opportunities to improve HR data processes and systems for better efficiency and accuracy.
- Stay updated with the latest HR analytics trends, tools, and best practices.
- Provide actionable insights and recommendations based on data analysis to improve HR policies and practices.
- Facilitate the development and implementation of employee surveys and analyze survey data to measure engagement and satisfaction.
- Collaborate with HRIS specialists to optimize data collection and management processes.

What we are looking for

- Strong analytical mindset with a passion for working with data
- Exceptional attention to detail and a commitment to data accuracy
- Excellent communication skills to convey complex data insights clearly
- Collaborative nature, comfortable working with various teams and stakeholders
- High degree of problem-solving abilities and a solutions-oriented approach
- Ability to translate data findings into strategic recommendations
- Proactive in seeking out new data trends, tools, and best practices
- Strong organizational skills with the ability to manage multiple projects
- Capable of working independently with minimal supervision
- Demonstrated experience in using advanced data visualization techniques
- Innovative thinker with a continuous improvement mindset
- Strong understanding of HR processes, metrics, and performance indicators
- Knowledgeable about data privacy regulations and practices
- Ability to handle confidential information with utmost confidentiality
- Adaptable to changing priorities and business needs
- Enthusiastic about providing training and support to others
- Proven track record of creating impactful HR data models and dashboards
- Strong background in statistical modeling and predictive analysis
- Customer-focused with a keen understanding of stakeholder needs
- Tech-savvy with a strong aptitude for learning new tools and software

What you can expect (benefits)

- Competitive salary range of $90,000 - $120,000 annually, depending on experience and qualifications
- Comprehensive health insurance plans, including medical, dental, and vision coverage
- Employer-funded health savings account (HSA) option
- Generous paid time off (PTO) policies, including vacation, sick leave, and personal days
- Flexible work schedule with options for remote work
- Retirement savings plan with company matching contributions
- Professional development opportunities, including training programs, workshops, and conferences
- Tuition reimbursement for relevant coursework and degrees
- Employee wellness programs, including gym membership discounts and wellness workshops
- Paid parental leave and family care benefits
- Employee assistance program (EAP) offering counseling and support services
- Life and disability insurance plans
- Bonus and incentive programs based on performance
- Opportunities for career advancement and internal mobility within the company
- Access to cutting-edge HR analytics tools and technologies
- Collaborative and inclusive work environment with a focus on diversity and inclusion
- Regular company-sponsored events and team-building activities
- Recognition and rewards programs for outstanding performance and contributions
- Access to an extensive network of HR professionals for knowledge sharing and collaboration

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