• Lead analytics across marketing acquisition, product-led growth, lifecycle growth, and channel performance, spanning paid, organic, lifecycle, partnership, affiliate, referral, and in-product channels. • Own analysis of the full growth funnel, including acquisition, activation, onboarding, conversion, retention, monetization, expansion, and long-term customer value. • Develop and improve attribution, campaign measurement, and marketing efficiency frameworks to help the business understand what is driving sign-ups, revenue, CAC, ROAS, LTV, and payback. • Lead experimentation analytics across the growth funnel, including A/B tests, incrementality tests, onboarding experiments, landing page tests, lifecycle experiments, pricing/packaging tests, and in-product conversion tests. • Design and evaluate experiments end to end, including hypothesis development, metric selection, test sizing, statistical interpretation, readouts, and rollout recommendations. • Build dashboards, reporting frameworks, and analytical models that give teams clear visibility into performance across campaigns, channels, segments, cohorts, funnels, and experiments. • Analyze customer journeys using campaign data, UTM parameters, product usage data, conversion events, lifecycle touchpoints, and marketing schemas to improve tracking quality and uncover growth opportunities. • Develop or support advanced analyses such as LTV modeling, customer segmentation, propensity modeling, churn analysis, product-qualified lead scoring, and upsell/cross-sell opportunity analysis. • Partner with Data Engineering and Analytics Engineering to improve data quality, event instrumentation, marketing/product data models, and self-service reporting infrastructure. • Communicate insights, tradeoffs, experiment results, and recommendations clearly to Marketing, Growth, Product, Finance, and executive stakeholders.

The Analytics Manager takes full ownership of the planning, analysis, documentation, and execution of business requirements for complex operational data requests. Acting as a strategic bridge between data architecture and business stakeholders. They delegate reporting responsibilities among the team and ensure the team meets weekly/monthly deadlines for delivering reports to the business. The Analytics Manager will manage himself/herself as a leader in sales analytics, setting examples for productivity, progressive thinking, efficiency, collaboration and professionalism. The Analytics Manager assists with training and support in an effort to build relationships amongst the team members. Dane Street’s success relies on individual and team contributions every day. We care for our customers, each other and Dane Street. It is the responsibility for all of us to maintain a positive working environment that promotes client satisfaction and results.

• Design, build, and maintain recurring and ad hoc HR reports covering headcount, turnover, retention, time-to-fill, compensation, engagement, and other key workforce metrics. • Serve as the primary administrator and reporting expert for UKG Pro (UltiPro), ensuring data integrity, user access, and optimal use of reporting and analytics features. • Build and maintain dashboards and visualizations using BI tools (e.g., Power BI, Tableau, or similar) to give HR leadership and the executive team real-time visibility into workforce trends. • Partner with HR team members to identify data needs and translate them into scalable reporting solutions. • Audit HR data regularly to ensure accuracy, consistency, and completeness across systems. • Support annual and quarterly workforce planning cycles with data modeling and scenario analysis. • Serve as the data and systems lead for the employee onboarding process, managing tracking, completion reporting, and continuous improvement of onboarding workflows. • Develop and maintain dashboards that track new hire onboarding progress, 30/60/90-day milestones, and completion rates across departments and locations. • Collaborate with L&D, HR Operations, and hiring managers to ensure onboarding data is captured consistently and feeding into broader people analytics. • Identify gaps or bottlenecks in the onboarding experience using data and recommend process improvements. • Administer and track onboarding modules and completion data in TalentLMS and UKG Pro. • Maintain and optimize HR data architecture across core systems, including UKG Pro, TalentLMS, Lattice, and any additional HR tech platforms. • Serve as the HR team's primary point of contact for data integrations and system troubleshooting. • Partner with IT on data governance, system upgrades, and reporting infrastructure improvements. • Document data definitions, reporting methodologies, and data dictionaries to promote consistent use of HR metrics across the organization. • Support HRIS data migration and system implementation projects as needed. • Deliver data-driven insights to HR Business Partners and senior leaders on workforce trends, flight risk, engagement, and performance. • Support compliance reporting, including EEO-1, VETS-4212, and other regulatory submissions. • Contribute to employee engagement survey analysis and help translate results into meaningful recommendations. • Build and maintain predictive models to support proactive talent management and workforce planning.

• Compiling, analyzing, and reporting sales data. • Monitoring, and analyzing competitive activity, customer, and market trends. • Providing actionable insights to guide the sales and marketing teams. • Review past and current sales data to determine trends in productivity. • Present actionable information and insights. • Create new reports and dashboards. • Support Sales Management: KPI/Scorecard development and distribution, maintain weekly/monthly/annual reporting. • CRM Maintenance and Standardization: Salesforce super user. • Support initiatives for data integrity and normalization. • Other duties as assigned.