Senior Customer Success & Support Data Programs Analyst – SaaS Operations, Analytics & Strategy Lead at Tasklance

```html About Talentra – Transforming the Restaurant Industry with Cutting‑Edge SaaS Solutions Flexoraq is a fast‑growing Software‑as‑a‑Service (SaaS) company that is reshaping how restaurants manage their back‑office, accounting, and operational processes. Our cloud‑native platform centralizes critical data, streamlines workflows, and empowers culinary businesses to focus on what they do best – creating memorable dining experiences. At Jobspirex, we foster a culture of continuous learning, collaboration, and relentless pursuit of excellence. We believe that when our team members thrive, our customers succeed, and together we set the standard for “Best in Class” performance across the hospitality technology sector. Why This Role Matters The Senior Customer Success & Support Data Programs Analyst sits at the strategic nexus of Customer Success Operations, Product Analytics, and Financial Planning. Reporting to the Senior Manager of Customer Success Business Operations, you will design, implement, and manage data‑driven programs that unlock insights, optimize processes, and fuel growth across the organization. Your work will directly influence the experience of thousands of restaurant partners and help Remotiuma maintain its leadership position in the market. Key Responsibilities – Driving Insight, Efficiency, and Impact Data Program Architecture: Define program structures, governance models, and operational cadences for all Customer Success & Support (CS&S) data initiatives, ensuring scalability and repeatability. Cross‑Functional Collaboration: Act as the primary conduit between CS&S, IT‑Systems, Go‑to‑Market (GTM) Operations, Financial Operations, Product Analytics, Business Intelligence, and Data Science teams to align data solutions with business objectives. Data Collection & Integration: Gather, cleanse, and integrate data from disparate sources—including Snowflake, Databricks, BigQuery, Azure Synapse, and internal SaaS tools—to create a unified analytical foundation. Self‑Service Enablement: Build and maintain self‑service dashboards (using Tableau, Power BI, Domo, or similar) that empower CS&S business analysts and stakeholders to explore metrics independently. Program Management: Lead the end‑to‑end lifecycle of all CS&S data analysis projects—from requirement gathering and roadmap planning to execution, monitoring, and post‑implementation review. Strategic Insight Generation: Identify trends, patterns, and anomalies across customer success metrics, support tickets, revenue operations, and financial forecasts; translate findings into actionable recommendations. Annual Planning & Forecasting Support: Partner with finance and GTM leaders to provide data‑backed inputs for budgeting, capacity planning, and revenue forecasting cycles. Process Optimization: Continuously assess and refine CS&S business processes, ensuring data quality, operational efficiency, and alignment with the broader Skillvoraq strategy. Mentorship & Knowledge Sharing: Coach junior analysts and cross‑functional partners on best practices in data modeling, visualization, and storytelling. Ad‑hoc Analysis & Special Projects: Tackle high‑impact, time‑sensitive analytical requests that support executive decision‑making and strategic initiatives. Essential Qualifications – The Foundation of Your Success Bachelor’s degree in Business Administration, Data Analytics, Finance, Computer Science, or a closely related discipline. Minimum 7 years of experience in business operations within a SaaS environment, with a demonstrated track record of delivering measurable outcomes. At least 5 years of hands‑on experience in data strategy, business analytics, or management consulting, focusing on translating data into strategic business value. 2 + years of direct exposure to GTM or Financial Data Operations, including revenue operations, pricing analytics, or financial planning. Advanced proficiency with data visualization platforms such as Tableau, Power BI, or Domo, and strong SQL querying skills (including Snowflake, BigQuery, or Azure Synapse). Proven ability to work with modern data warehouses and lakehouse technologies (e.g., Databricks, Azure Synapse). Exceptional analytical mindset with the capacity to synthesize large data sets into clear, actionable insights. Outstanding communication and presentation skills, capable of influencing senior leadership and cross‑functional teams. Preferred Qualifications – What Sets You Apart Master’s degree or MBA with a focus on analytics, finance, or operations. Professional certifications in data analytics or project management (e.g., Certified Business Analyst Professional, PMP, or Google Data Analytics). Experience building and governing a data lake or data mesh architecture in a high‑growth SaaS company. Hands‑on experience with statistical programming languages such as Python or R for advanced analytics. Demonstrated success in designing self‑service analytics ecosystems that drive a culture of data‑driven