Senior Data Analyst – Customer Experience Platform & Product Insight Leader (AI‑Driven Analytics, SaaS Growth)

```html About careerzynith – Empowering the Future of Restaurant Success careerzynith is on a mission to transform the restaurant industry by delivering a unified, data‑rich platform that enables restaurateurs to focus on what they love—creating memorable dining experiences and growing thriving businesses. Our technology stack blends cutting‑edge AI, real‑time analytics, and seamless integrations to give restaurants the confidence to adapt, innovate, and scale. As a fast‑growing SaaS leader, careerzynith combines the agility of a startup with the stability of an established market player, fostering an environment where bold ideas are tested, refined, and brought to market quickly. Why This Role Matters The Customer Experience Platform (CXP) is the heart of careerzynith’s product ecosystem. It powers everything from AI‑driven support bots to next‑generation onboarding flows and product‑led growth (PLG) initiatives. As a Senior Data Analyst on the CXP team, you will be the analytical engine that fuels strategic decisions, uncovers hidden opportunities, and ensures that every product iteration is backed by solid, actionable insight. Your work will directly influence the roadmap, guide R&D investments, and help shape the experiences of millions of restaurant operators worldwide. Key Responsibilities Cross‑functional partnership Collaborate closely with product managers, engineers, finance, and operations to define analytical requirements, translate business questions into data solutions, and deliver clear, impact‑focused insights. Data ecosystem mastery Build a deep, systemic understanding of careerzynith’s operational data sources—including CRM, ERP, and revenue platforms—and continuously improve data quality, accessibility, and reporting capabilities. SQL prototyping & dataset creation Design, write, and optimize complex SQL queries to generate reliable datasets that support product performance tracking, operational efficiency analysis, and revenue forecasting. Dashboard & tool development Create self‑service dashboards, automated reporting pipelines, and visual analytics tools (using Looker, Hex, or similar) that empower stakeholders to monitor key metrics in real time. Proactive analytics scouting Adopt a “canary in a coal mine” mindset—identify emerging trends, anomalies, or hidden value opportunities before they become formal requests, and surface them to leadership. Quality assurance & data governance Implement rigorous QA processes, data validation checks, and documentation standards to guarantee the accuracy, completeness, and reliability of all analytical outputs. Insight translation Synthesize quantitative findings into clear, narrative‑driven recommendations that align with product strategy, user experience design, and business outcomes. Essential Qualifications Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related quantitative discipline (or equivalent professional experience). Minimum 3 years of hands‑on experience in Business Intelligence, Data Analytics, or Data Engineering roles, with a proven track record of analyzing user behavior and linking it to business performance. Advanced proficiency in SQL and data modeling, including experience designing relational schemas, building materialized views, and optimizing query performance for large‑scale datasets. Solid understanding of ETL processes, data pipeline orchestration (e.g., Airflow, dbt), and cloud data warehousing technologies such as Snowflake or Redshift. Demonstrated ability to work with ambiguous stakeholder requirements, ask clarifying questions, and deliver solutions that meet both technical and business objectives. Strong analytical mindset with a passion for uncovering the “ground truth” behind product usage patterns, churn drivers, and growth levers. Preferred (Bonus) Qualifications Experience in a high‑growth technology or SaaS environment, especially within product‑led growth or AI‑enabled product teams. Hands‑on exposure to operational data sources such as NetSuite, Salesforce, RevPro, or Zuora Revenue, and the ability to blend transactional and behavioral data. Familiarity with modern analytics and visualization tools like Hex, Looker, Tableau, or Power BI. Programming experience in Python (or R) for data manipulation, statistical analysis, or building predictive models. Knowledge of financial and accounting concepts, enabling you to translate revenue, cost, and profitability data into strategic insights. Core Skills & Competencies Analytical rigor Ability to design experiments, conduct A/B testing, and interpret statistical results with confidence. Communication excellence Translate complex data findings into concise, compelling narratives for both technical and non‑technical audiences. Problem‑solving orientation Thrive in ambiguous environments, quickly iterate on hypotheses, and pivot based on new evidence. Collaboration & influence Build trust across product, engineering, finance, and operations, championing data‑driven decision making. Tool fluency Mastery of SQL, data warehousing, ETL orchestration, and at least one modern BI platform. Curiosity & continuous learning Stay current on industry trends, emerging analytics techniques, and best practices in data governance. Career Growth & Learning Opportunities At careerzynith, your career trajectory is limited only by your ambition. As a senior analyst, you will have direct exposure to senior leadership, influence product roadmaps, and mentor junior analysts. We invest heavily in professional development—offering tuition reimbursement, conference sponsorships, and internal workshops on advanced analytics, machine learning, and product strategy. Over time, you could evolve into a Lead Analytics Manager, a Product Insight Director, or a specialized role in AI‑driven analytics, depending on your interests and the company’s growth path. Work Environment & Culture careerzynith embraces a culture of experimentation, transparency, and inclusivity. Our teams operate like well‑funded startups fast‑paced, collaborative, and empowered to make decisions. We celebrate diversity in all its forms, believing that varied perspectives drive better products and stronger business outcomes. Our remote‑first policy, flexible work hours, and generous paid‑time‑off ensure you can maintain a healthy work‑life balance while delivering high‑impact results. Compensation, Perks & Benefits We offer a competitive total rewards package designed to attract and retain top talent Base salary $92,000 – $147,000 USD, commensurate with experience and expertise. Variable compensation Performance‑based bonuses and equity grants that align your success with careerzynith’s growth. Health & wellness Comprehensive medical, dental, and vision plans, along with mental‑health resources and wellness stipends. Retirement planning 401(k) matching contributions to help you build long‑term financial security. Learning & development Access to online learning platforms, internal tech talks, and a generous education reimbursement program. Work‑life flexibility Remote‑first work model, flexible scheduling, and generous paid holidays and vacation days. Community & culture Employee resource groups, regular virtual socials, and a culture that encourages humor—bread puns are welcome but not required! Commitment to Diversity, Equity & Inclusion careerzynith believes that a diverse workforce fuels innovation. We are dedicated to creating an environment where every employee feels valued, heard, and empowered to bring their authentic self to work. Our hiring practices are designed to be accessible and inclusive, and we provide reasonable accommodations for candidates with disabilities. If you need assistance during the application or interview process, please reach out to our accommodations team at candidateaccommodations@careerzynith.com. Ready to Shape the Future of Restaurant Technology? If you are passionate about turning data into strategic action, love collaborating with product innovators, and thrive in a high‑growth, AI‑focused environment, we want to hear from you. Join careerzynith and help us build the next generation of restaurant experiences that empower owners, delight diners, and drive sustainable growth. Apply Now – Become a Data‑Driven Champion at careerzynith! ``` Apply for this job

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