Sr. Workforce Analytics Analyst

Are you looking to Optimize your life? Start your exciting path to a rewarding career today!

We are Optimum, a leader in the fast-paced world of connectivity, and we're on the hunt for enthusiastic professionals to join our team! We understand that connectivity isn't just a luxury anymore – it's a necessity that empowers lives, fuels businesses, and drives innovation. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected. We owe our success to our amazing product, commitment to our people and the connections we make in every community.

If you are resourceful, collaborative, team-oriented and passionate about delivering consistent excellence, Optimum is the Company for you!

We are Optimum!

Job Summary

As a Senior Analyst specializing in Workforce Analytics, you will leverage your technical expertise in data analysis, business intelligence tools, and workforce metrics and visualizations to deliver impactful insights and recommendations. As part of the Corporate Data and Analytics team, you will collaborate with cross-functional teams to support the Human Resource function with data-driven solutions that enhance talent acquisition, retention and overall employee performance. This is a hands-on role that requires balancing the existing workforce data infrastructure with immediate business needs, managing both long-term workforce analytics vision and short-term analytical deliverables. Your strong technical expertise and demonstrated functional knowledge of HR (business processes, data and analytics) will help advance our analytics capabilities, enable data-driven decisions and accelerate workforce data transformation at Altice.

Responsibilities

Data Analysis & Visualization (60%):

• Design, develop, and maintain interactive dashboards and reports using BI tools such as Tableau or similar platforms to visualize workforce data and trends (e.g., workforce demographics, headcount trends, attrition analysis, recruiting funnels, retention etc.).
• Develop and implement ETL processes to ensure workforce data accuracy and integrity.
• Apply advanced statistical methods (e.g., regression, correlation, decision trees) and qualitative techniques to uncover trends, patterns, and insights in areas such as talent acquisition, talent management, training and diversity & inclusion.
  
  

Data Governance & Data Sharing (20%):

• Design and implement HR data sharing processes and standards. This includes the creation and maintenance of role-based access controls and data visibility rules for HR dashboards and other deliverables.
• Foster a culture of analytics self-service by developing scalable BI and analytics products and training teams on data utilization.
  
  

Data Management and Innovation (20%):

• Advise best practices and participate in end-to-end HR data collection process in partnership with HR Tech Solutions, HRIT, HR Operations and Business HR
• Actively identify and incorporate additional data sources into internal database for comprehensive analysis and visualization
• Drive innovative analytics solutions and predictive models to support strategic HR initiatives and improve business operations.
• Stay current with industry trends and emerging technologies in workforce analytics and BI and integrate best practices into existing processes.
  
  

Qualifications

• Bachelor’s degree in a quantitatively based field such as Economics, Math, Statistics, Data Science, Computer Science, or a related field. Graduate degree in a relevant field preferred.
• 3 years of relevant experience in data analysis, business intelligence, reporting & visualizations, data science or a related role with a focus on HR or workforce analytics and planning.
• Experience working with SAPdata structures. Solid understanding of workforce data and employee lifecycle processes (talent acquisition, talent development, workforce planning, engagement, employee listening, external benchmarking etc.).
• Expert level of proficiency with business intelligence tools such as Tableau or similar BI platforms. Strong expertise in data visualization and information design principles.
• Strong proficiency in ETL and statistical coding languages and tools such as SQL, R, Python, Looker and Alteryx.
• Familiarity with data engineering practices and principles and experience working with cloud databases such as Google Cloud, Big Query, Microsoft Azure or AWS
• Strong analytical skills with experience in statistical analysis, data modeling, and predictive analytics.
• Proven ability to work collaboratively with cross-functional teams and manage multiple projects.
• Experience with People Analytics technology and tools such as One Model or Visier preferred.
• Experience in a startup environment with a flexible and adaptable approach to changing priorities preferred
  
  

At Optimum, we're fueled by our four core pillars: Taking Ownership, Upholding Transparency, Creating Community, and Demonstrating Expertise. Our commitment to empowering employees to take responsibility and embrace proactive problem-solving underpins Taking Ownership. Upholding Transparency is at the core of our culture, with open and honest communication fostering trust among our dedicated team and loyal customers. Creating Community is more than a goal; it's our daily commitment to fostering an environment of collaboration, innovation, and positivity. Demonstrating expertise is a promise we uphold through continuous learning and engagement with our customers to consistently deliver top-quality products and services. These pillars not only shape our culture but define Optimum as a place of excellence, trustworthiness, and thriving community, and we invite you to be a part of our journey.

If you have the drive to succeed and are ready to embark on a thrilling career, seize this opportunity today, and join our winning team, so together, we'll shape the future of connectivity.

All job descriptions and required skills, qualifications and responsibilities for a particular position are subject to modification by the Company from time to time, in the Company’s discretion based on business necessity.

We are an Equal Opportunity Employer committed to recruiting, hiring and promoting qualified people of all backgrounds regardless of gender, race, color, creed, national origin, religion, age, marital status, pregnancy, physical or mental disability, sexual orientation, gender identity, military or veteran status, or any other basis protected by federal, state, or local law.

The Company collects personal information about its applicants for employment that may include personal identifiers, professional or employment related information, photos, education information and/or protected classifications under federal and state law. This information is collected for employment purposes, including identification, work authorization, FCRA-compliant background screening, human resource administration and compliance with federal, state and local law.

Applicants for employment with The Company will never be asked to provide money (even if reimbursable) as part of the job application or hiring process. Please review our Fraud FAQ for further details.

This position is identified as being performed in/or reporting to company operations in New York State. Salary ranges are supplied in compliance with New York State law. Pay is competitive and based on a number of job-related factors, including skills and experience. The starting pay rate/range at time of hire for this position in New York is $92,534.00 - $152,021.00 / year. The starting pay rate/range at time of hire for this position in Plano is $77,112.00 - $126,684 / year. For other locations, please inquire with your recruiter. The rates/ranges provided herein are the anticipated pay at the time of hire, and do not reflect future job opportunity.