
5001 - 10000 employees
đ„ HR Tech
âïž SaaS
đą Enterprise
đ° $1G Post-IPO Debt - Dayforce on 2024-03
HR Tech âą SaaS âą Enterprise
Dayforce is a cloud-based human capital management (HCM) platform that unifies payroll, HR, workforce management, time and attendance, benefits, and talent management into a single application. Delivered as a software-as-a-service solution, Dayforce is used by employers to manage the employee lifecycle, payroll processing, scheduling, and regulatory compliance across locations.
đ„ 1 hour ago
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5001 - 10000 employees
đ„ HR Tech
âïž SaaS
đą Enterprise
đ° $1G Post-IPO Debt - Dayforce on 2024-03
HR Tech âą SaaS âą Enterprise
Dayforce is a cloud-based human capital management (HCM) platform that unifies payroll, HR, workforce management, time and attendance, benefits, and talent management into a single application. Delivered as a software-as-a-service solution, Dayforce is used by employers to manage the employee lifecycle, payroll processing, scheduling, and regulatory compliance across locations.
âą Leads and develops a high-performing analytics team responsible for delivering insights across Marketing, Sales, and Implementation operations âą Works collaboratively with internal teams to solve cross-functional business challenges and provide key insights and actionable, data-backed recommendations that drive improvement for both our business and our customers âą Assesses broad business questions and distill root causes to develop analytical frameworks for data-driven answers âą Partners with senior leadership to define key performance indicators (KPIs), measurement frameworks, and reporting that support strategic planning and operational execution âą Analyzes business and financial initiatives to measure their effectiveness and impact on KPIs for both the functional department and the overall business âą Provides constructive feedback and coaching to drive continuous improvement, strengthening both technical and business acumen, while aligning individual team member growth with organizational goals âą Guides the development and optimization of models and advanced analytics (e.g., regression, time series, segmentation), including ongoing monitoring and variance analysis âą Establishes and scales reporting frameworks, dashboards, and data products that deliver actionable visibility into performance and business value, while upholding customer service, integrity, and resource efficiency âą Independently determines and pursues deep-dive opportunities to identify performance drivers, growth opportunities, and operational efficiencies across acquisition, conversion, and implementation processes âą Maintains a detailed understanding of platforms, data structures, and services to become a reliable source for the organization and contribute to the evolution of analytics capabilities and frameworks âą Partners closely with Data Engineering and Reporting teams to communicate and collaborate on complex data needs and projects to support business requirements, automation initiatives, and opportunities âą Guides the design and interpretation of experiments, pilots, and new initiatives to measure impact and support data-driven decision making âą Fosters a culture of data literacy and self-service analytics by improving accessibility, clarity, and adoption of reporting tools and insights âą Takes an active approach to talent management by onboarding, mentoring, and inspiring a diverse, highly engaged, and skilled team. Continuously strengthens team capability through talent development, succession planning, and recruitment âą Performs other duties as assigned
âą Bachelor's degree in a related field (e.g., Business, Economics, Statistics, Analytics) or equivalent experience; Masters preferred âą A minimum of eight (8) years of increasing responsibility in data analytics, business intelligence, or operations analytics, with demonstrated expertise in cross-functional business and financial data âą A minimum of two (2) years of experience leading or mentoring analysts or analytics teams, including accountability for performance, development, and delivery of results aligned with organizational objectives âą Proficiency in data analysis and related technologies, including SQL, DAX, Python and/or R, advanced Excel, and experience working with large, complex datasets, Salesforce data, operational platforms, Git repositories, and Fabric and/or Azure environments âą Strong data visualization and communication skills using Power BI and/or Tableau, with demonstrated ability to translate insights into compelling data storytelling and presentations for organizational leadership âą Excellent analytical skills and understanding of statistical concepts with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy âą Experience with evaluation of statistical significance, variance analysis, funnel and/or lifecycle analysis, A/B testing and performance optimization âą Demonstrated ability to partner with business unit leaders and cross-functional stakeholders to influence decision-making through data as well as to communicate technical findings for executive and non-technical audiences âą Self-starter with strong leadership, organizational, communication, and time management skills, self-directed and able to handle multiple priorities with demanding timeframes âą Ability to work collaboratively with colleagues and team members to create a high-quality, results-driven, team environment built on trust and respect âą Ability to plan and manage at both strategic and tactical operational levels, while achieving goals, overcoming obstacles, and planning for contingencies âą Demonstrated ability to use discretion, make sound decisions, and maintain confidentiality âą Willingness and ability to work flexible hours as needed, and travel up to 10%, which may include occasional overnight travel âą Proficiency in Microsoft Office Suite and modern communication tools for virtual teams (e.g., Microsoft Teams, Slack)
âą Reasonable accommodations for documented disabilities âą Exposure to varying weather and temperature conditions during travel
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