Business Insights Manager

Dayforce

Business Insights Manager leading analytics across Marketing, Sales, and Implementation at mission-driven organization. Partnering with leadership to deliver insights and drive business value.

Posted 7/27/2026full-timeRemote • 🌎 Anywhere in the WorldSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analytics and business intelligence, with a strong focus on leading analytics teams, developing actionable insights, and optimizing performance through data-driven decision making. Proficient in advanced analytics techniques and tools, fostering a culture of data literacy and collaboration across cross-functional teams.

Highest-signal resume keywords

Data Analytics LeadershipSQL ProficiencyData Visualization with Power BIStatistical Analysis and A/B TestingCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical ConceptsRegression AnalysisTime Series AnalysisSegmentationVariance AnalysisFunnel AnalysisLifecycle AnalysisPerformance OptimizationData Storytelling

Soft Skills

LeadershipCommunicationOrganizational SkillsTime ManagementCollaboration

Tools & Technologies

Power BITableauSalesforceMicrosoft Office SuiteMicrosoft TeamsSlackGitFabricAzureAdvanced Excel

Industry Keywords

Business IntelligenceAnalyticsKPI DevelopmentData-Driven Decision MakingOperational Efficiency

Tech Stack

Tools & technologies

AzurePythonSQLTableau

About the role

Key responsibilities & impact

Leads and develops a high-performing analytics team responsible for delivering insights across Marketing, Sales, and Implementation operations
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
Assesses broad business questions and distill root causes to develop analytical frameworks for data-driven answers
Partners with senior leadership to define key performance indicators (KPIs), measurement frameworks, and reporting that support strategic planning and operational execution
Analyzes business and financial initiatives to measure their effectiveness and impact on KPIs for both the functional department and the overall business
Provides constructive feedback and coaching to drive continuous improvement, strengthening both technical and business acumen, while aligning individual team member growth with organizational goals
Guides the development and optimization of models and advanced analytics (e.g., regression, time series, segmentation), including ongoing monitoring and variance analysis
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
Independently determines and pursues deep-dive opportunities to identify performance drivers, growth opportunities, and operational efficiencies across acquisition, conversion, and implementation processes
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
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
Guides the design and interpretation of experiments, pilots, and new initiatives to measure impact and support data-driven decision making
Fosters a culture of data literacy and self-service analytics by improving accessibility, clarity, and adoption of reporting tools and insights
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
Performs other duties as assigned

Requirements

What you’ll need

Bachelor's degree in a related field (e.g., Business, Economics, Statistics, Analytics) or equivalent experience; Masters preferred
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
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
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
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
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
Experience with evaluation of statistical significance, variance analysis, funnel and/or lifecycle analysis, A/B testing and performance optimization
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
Self-starter with strong leadership, organizational, communication, and time management skills, self-directed and able to handle multiple priorities with demanding timeframes
Ability to work collaboratively with colleagues and team members to create a high-quality, results-driven, team environment built on trust and respect
Ability to plan and manage at both strategic and tactical operational levels, while achieving goals, overcoming obstacles, and planning for contingencies
Demonstrated ability to use discretion, make sound decisions, and maintain confidentiality
Willingness and ability to work flexible hours as needed, and travel up to 10%, which may include occasional overnight travel
Proficiency in Microsoft Office Suite and modern communication tools for virtual teams (e.g., Microsoft Teams, Slack)

Benefits

Comp & perks

Reasonable accommodations for documented disabilities
Exposure to varying weather and temperature conditions during travel