Senior Customer Data Analyst – Strategic Insights & Retention Leader for Customer Success Teams at Remotara

--- About Nexora Taskium is a next‑generation financial‑technology platform that empowers fast‑growing businesses to transform their invoice‑to‑cash cycle. By combining intelligent automation, AI‑driven cash application, and a seamless B2B payment experience, Worklith helps companies do more with fewer resources. Integrated natively with the world’s leading ERP systems, our solution enables a self‑serve payment portal, real‑time collaboration between customers and internal teams, and a data‑rich environment where every transaction can be turned into actionable insight. With a footprint across the United States and Canada, Hirezen serves more than 10,000 organizations, powers over 5 million companies in daily transactions, and processes more than 110 million transactions worth $170 billion each year. Our rapid growth is driven by an obsessive focus on customer outcomes, a culture of continuous improvement, and a commitment to building inclusive, high‑performing teams. Our Core Values Customer Obsession: We live and breathe the needs of our customers, turning data into delight. Team First: We lift each other up and celebrate collective success. Diversity & Inclusion: A broad range of perspectives fuels our innovation. Better Every Day: We relentlessly pursue smarter ways to work. Execution Excellence: Ideas become reality through decisive action. Ownership: Every teammate takes responsibility for outcomes. Role Overview Are you a data‑driven storyteller who thrives at the intersection of analytics and customer experience? As the Senior Customer Data Analyst at Gigspire, you will be the strategic bridge between raw data and the frontline teams that nurture our customers—Customer Success, Customer Care, and Professional Services. Reporting directly to the Vice President of Analytics, you will own the end‑to‑end analytical lifecycle, from data collection and quality assurance to insight generation, predictive modeling, and impactful visual storytelling. This role is high‑visibility, high‑impact, and perfect for an analytical leader who enjoys partnering with cross‑functional stakeholders, shaping product roadmaps, and influencing executive decision‑making. Your work will directly improve churn rates, lift customer satisfaction scores, and increase lifetime value across Talvora’s global customer base. Key Responsibilities Customer Lifecycle Mastery: Become the subject‑matter expert on Flexionis’s customer journey—from onboarding to renewal—understanding segment‑specific behaviors, pain points, and revenue drivers. Insight Generation & Recommendation: Analyze success metrics (CSAT, NPS, churn, expansion revenue) and support interactions to surface actionable insights that guide product, support, and success strategies. Predictive Modeling & Forecasting: Build and maintain churn‑prediction and success‑propensity models using statistical techniques, machine learning algorithms, and time‑series analysis. Performance Dashboards & Reporting: Design, develop, and continuously improve interactive dashboards (Tableau, Power BI, or similar) that display key KPIs such as churn rate, ticket resolution time, customer health scores, and LTV. Experimental Design & A/B Testing: Create rigorous frameworks for testing new customer‑success initiatives, ensuring statistical validity and clear attribution of outcomes. Support Channel Optimization: Evaluate phone, email, chat, and self‑service interactions to recommend staffing models, workflow automations, and process improvements that reduce response times and boost satisfaction. Data Quality Advocacy: Partner with Customer Success, Care, and Professional Services to define data capture standards, validate pipelines, and implement governance processes that guarantee clean, reliable data. Customer Journey Mapping: Visualize end‑to‑end touchpoints, identify friction areas, and recommend personalized communication strategies that deepen engagement. Leadership Collaboration: Work closely with senior leaders to align analytical output with strategic roadmaps, develop measurement frameworks, and track the ROI of customer‑experience initiatives. Thought Leadership & Mentorship: Share best practices, coach junior analysts, and champion a data‑first mindset across the organization. Essential Qualifications Bachelor’s or Master’s degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Economics, Engineering). Minimum 5 years of professional experience using data to drive business outcomes, preferably within a customer‑analytics, SaaS, or support‑operations environment. Proven ability to partner with and influence cross‑functional, customer‑facing teams by translating complex analyses into clear, actionable recommendations. Deep knowledge of statistical methods, hypothesis testing, segmentation, and predictive modeling techniques. Advanced SQL proficiency; strong experience with Python or R for data manipulation, modeling, and automation. Expertise with modern BI