HR Data Analyst

This position is responsible for collecting, analyzing, and interpreting HR data to provide insights and support data-driven decision-making within the HR department and across the organization. This position reports to a VP, Human Resources.

 

Experience is Everything.

At LCS, experience is everything. We provide you the opportunity to use your talents in a progressive, growing organization that makes a positive difference in the lives of the seniors we serve. If you are seeking an organization that gives back, you’ll love working here. Our principles and hospitality promises define our company culture. LCS employees can be found participating in volunteer activities, getting involved in our committees or collaborating with team members in our innovative workspace. You’ll find several opportunities to grow as a professional, serve the community, and enhance the lives of seniors. 

 

What You’ll Do:

• Collect HR data from various sources, including HRIS, applicant tracking system, surveys, and other systems. Clean and preprocess data to ensure accuracy and consistency.
• Analyze HR data to identify trends, patterns, and correlations. Develop reports, dashboards, and visualizations to communicate insights to stakeholders. Utilize statistical techniques and predictive modeling to forecast future trends.
• Define and track key HR metrics and KPIs to measure the effectiveness of HR programs and initiatives. With oversight from HR leadership, develop benchmarks and targets to monitor progress and performance.
• Conduct talent analytics to support workforce planning, recruitment, retention, and succession planning initiatives. Parter with HR business partners to identify talent gaps and opportunities for improvement.
• Analyze employee engagement survey data to assess employee sentiment, identify areas for improvement, and drive engagement initiatives.
• Conduct ad hoc analysis and provide analytical support for special projects, initiatives, and requests from HR leadership and other stakeholders.

 

What We’re Looking For:

• Bachelor’s degree in Data Analytics, Statistics, Computer Science, or a related field required or equivalent years of experience. 
• Master's degree in Data Analytics preferred
• 0 - 2 years of experience in HR analytics, business intelligence, or a related field required. 
• Proficiency in data analysis tools and languages such as SQL, Python, R, or similar required. 
• Experience with data visualization tools such as Tableau, Power BI, or similar required. 
• Strong analytical and problem-solving skills, with the ability to translate data into actionable insights required.
• Excellent communication and presentation skills, with the ability to convey complex concepts to non-technical audiences required. 
• Ability to work independently and collaboratively in a fast-paced, dynamic environment required. 
• Knowledge of HR processes, metrics, and best practices preferred.

 

Why Join Us?  

• Industry Leader. 
• Inclusive & collaborative culture. 
• Top Workplace USA. 
• Top Workplace Iowa. 
• Charity and community involvement. 
• Outstanding advancement opportunities. 
• Ongoing career development. 

 

Benefits

Competitive pay, great benefits and vacation time. We are an equal opportunity employer with benefits including medical, dental, life insurance, disability, 401(K) with company match and paid parental leave. 

 

Our Commitment 

LCS creates living experiences that enhance the lives of seniors. You’ll see this commitment in our people. They’re talented, dedicated professionals who truly care about residents, with each conducting his or her work with integrity, honesty and transparency according to the principles of LCS. We strive to help every community succeed—strengthening available resources, establishing proven practices that lead to long-term growth and value for those living in, working for and affiliated with the community. Check us out on our website: https://www.lcsliving.com

Additional Information 

Travel frequency: 0-10%

Estimated Salary: $64,000 - $80,000 

The actual title & salary will carefully consider a wide range of factors, including your skills, qualifications, experience, and other relevant factors.