Dayforce

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manager

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.

• 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

Business Insights Manager

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

growth-marketing

• Develops and executes integrated offline acquisition strategies that drive qualified leads, customer growth, and revenue across B2C and B2B segments.
• Owns channel performance across Direct Response TV (DRTV), Direct Mail, Print, Radio, and other offline acquisition channels.
• Identifies new channel opportunities, tests strategies, and scales programs that demonstrate strong customer acquisition potential across consumer and business audiences.
• Partners with media agencies, vendors, and internal stakeholders to optimize spend allocation, audience targeting, creative strategy, and campaign performance.
• Develops annual and quarterly channel plans aligned with business objectives, growth targets, and budget goals.
• Analyzes channel performance, customer acquisition metrics, and campaign results to identify optimization opportunities across B2C and B2B programs.
• Owns reporting and insights across offline channels, including cost per call (CPC), cost per order (CPO), customer acquisition cost (CAC), customer lifetime value (CLV), pipeline contribution, and return on marketing investment.
• Leverages attribution insights, testing results, customer data, and market trends to improve media efficiency and budget allocation.
• Partners with Finance, Sales, and Analytics teams to forecast performance, evaluate ROI, and support investment decisions.
• Manages end-to-end execution of offline campaigns, from strategy and audience segmentation through creative development, launch, measurement, and optimization.
• Leads creative and messaging testing strategies tailored to consumer and business audiences, including offers, calls-to-action, positioning, and audience segments.
• Collaborates with Creative, Product, Sales, Operations, and Customer Experience teams to ensure campaign alignment and effectiveness.
• Manages agency and vendor relationships, ensuring accountability against performance goals and business objectives.
• Develops acquisition strategies that address the unique needs and buying behaviors of both consumers and business decision-makers.
• Demonstrates understanding of the differences between B2C demand generation and B2B lead generation, including audience targeting, sales cycles, conversion paths, and measurement approaches.
• Partners with Sales teams to optimize lead quality, improve conversion rates, and support revenue growth.
• Builds campaigns that balance brand awareness, demand generation, lead capture, and pipeline contribution.
• Uses customer data, research, and market trends to inform channel strategies and improve campaign effectiveness.
• Develops a deep understanding of target audiences, including consumer customers, caregivers, and business stakeholders.
• Identifies opportunities to improve the customer journey from initial awareness through conversion and retention.
• Incorporates evolving consumer expectations, changing buying behaviors, and emerging marketing trends into acquisition strategies.
• Performs other duties as assigned.

Marketing Manager – Offline Channel Growth

Marketing Manager specializing in offline channel growth overseeing both B2C and B2B customer acquisition strategies. Analyzing performance, managing campaigns, and optimizing marketing channels.

data-engineer

• Collaborates with cross-functional teams to understand data and analytical requirements and translates them into effective Microsoft Fabric–based data solutions.
• Mentors and provides technical leadership to Data Engineers through code reviews, design reviews, knowledge-sharing sessions, and engineering best practices.
• Establishes and maintains data engineering standards, reusable frameworks, development patterns, and operational best practices to improve consistency and scalability across the data platform.
• Leads root cause analysis and resolution efforts for critical production issues impacting enterprise data pipelines, reporting solutions, and platform operations.
• Reviews and provides guidance on solution designs, architecture decisions, and implementation approaches to ensure alignment with enterprise standards and best practices.
• Designs, develops, and maintains end-to-end data ingestion and transformation processes using Microsoft Fabric OneLake, Lakehouses, Data Pipelines, Dataflows Gen2, and Notebooks.
• Formats, cleanses, and stores data in a structured manner to ensure data quality and accessibility for reporting and analysis, following Medallion Architecture.
• Works closely with reporting and analytics teams to ensure datasets are accurate, well-modeled, and optimized for Power BI and other analytical workloads.
• Creates comprehensive documentation for data pipelines, processes, and solutions.
• Participates in data governance activities to ensure data integrity, security, and compliance.
• Utilizes source control to manage and track changes to data pipelines and codebase.
• Provides level II/III support to troubleshoot and resolve data-related issues and inquiries.
• Provides ancillary support for Machine Learning (ML) and Artificial Intelligence (AI) processes.
• Evaluates emerging technologies, industry trends, and architectural patterns related to data engineering, analytics, artificial intelligence, and cloud platforms and provides recommendations for adoption.
• Manages and optimizes Microsoft Fabric platform performance by monitoring capacity utilization, query performance, Lakehouse and Warehouse workloads, Delta table maintenance (OPTIMIZE/VACUUM), data partitioning, storage consumption, and pipeline execution to ensure scalable, reliable, and cost-effective data operations.
• Develops and maintains monitoring, alerting, and observability solutions for Microsoft Fabric pipelines, notebooks, Lakehouses, Warehouses, semantic models, and related data platform components to ensure operational reliability and rapid issue resolution.
• Performs other duties as assigned.

Senior Data Engineer – Fabric

Sr. Data Engineer responsible for data solutions leveraging Microsoft Fabric, collaborating with cross-functional teams to support analytics and decision-making.

Dayforce

Open jobs

3 jobs found

Business Insights Manager

Dayforce

Marketing Manager – Offline Channel Growth

Dayforce

Senior Data Engineer – Fabric

Dayforce