Senior Data Analyst – Customer Analytics & Growth Strategy Expert at Gigflowx

```html Why Flexnity? A Visionary Leader in Digital Communication Joblora is at the forefront of delivering seamless, affordable communication solutions to millions worldwide. Our mission is to democratize connectivity, ensuring every individual—regardless of geography or income—has access to reliable voice, messaging, and data services. As we scale rapidly, data‑driven decision making becomes the backbone of our growth engine. Join a culture that prizes curiosity, ownership, and relentless impact, and become an integral part of a team that transforms raw data into actionable business intelligence. Role Overview – Senior Data Analyst, Customer Analytics We are seeking a seasoned Senior Data Analyst who thrives on turning complex datasets into clear narratives that shape product strategy, marketing spend, and customer experience. In this role, you will partner with cross‑functional stakeholders—including product, marketing, finance, and senior leadership—to uncover insights that drive acquisition, retention, and long‑term profitability. You will own the end‑to‑end analytics lifecycle: from data extraction and model development to visual storytelling and executive briefings. Key Responsibilities Strategic Partnering: Collaborate with product managers, advertisers, and growth teams to define success metrics for new and existing ad offerings, design experiments, and recommend measurement frameworks. Insight Delivery: Build, maintain, and continuously improve interactive dashboards and reports that surface core KPIs such as CAC, LTV, churn rates, activation funnels, and media performance. Advanced Analysis: Conduct rigorous quantitative analyses—regression, decision‑tree modeling, forecasting, and cohort analysis—to surface trends, diagnose pain points, and prioritize initiatives. Experimentation Management: Design A/B, multivariate, and geo‑based tests; implement tracking, monitor results in real time, and synthesize findings into clear recommendations for product roadmaps. Executive Communication: Translate technical results into compelling narratives for Director‑level and above audiences through decks, memos, and live presentations. Data Stewardship: Ensure data integrity and reliability by collaborating with data engineering to refine Snowflake pipelines, enforce naming conventions, and document data lineage. Tool Evangelism: Champion best‑in‑class analytics tools (e.g., Tableau, Amplitude, Mixpanel) and advocate for data‑centric culture across the organization. Mentorship & Collaboration: Act as a trusted advisor to junior analysts, providing guidance on methodology, visualization, and stakeholder management. Essential Qualifications Education: BA/BS in a quantitative discipline such as Mathematics, Computer Science, Economics, Statistics, or Business Analytics. A Master’s degree in Business Analytics or a related field is highly preferred. Professional Experience: Minimum 3 years of hands‑on experience in business or product analytics within fast‑growing technology environments, working with large, multi‑dimensional data sets. SQL Mastery: Proven ability to extract, transform, and load data from Snowflake (or comparable cloud data warehouses) using advanced SQL queries. Visualization Expertise: Strong track record designing, building, and maintaining Tableau dashboards that drive decision‑making at scale. Statistical Foundations: Solid understanding of hypothesis testing, confidence intervals, regression analysis, and forecasting techniques; practical experience designing and interpreting A/B tests. Communication Excellence: Exceptional verbal and written communication skills, capable of simplifying complex analyses for senior leadership. Product Growth Acumen: Familiarity with customer acquisition cost (CAC), lifetime value (LTV), retention curves, onboarding, and activation funnels. Tool Proficiency: Experience with mobile measurement partners (e.g., Adjust, AppsFlyer), CRM platforms (e.g., Braze), web analytics (e.g., Google Analytics), and product analytics/experimentation suites (e.g., Amplitude, Mixpanel, Eppo). Preferred Qualifications & Nice‑to‑Have Skills Advanced degree (MS or PhD) in a quantitative field. Hands‑on experience with data modelling in Python or R. Knowledge of machine‑learning pipelines for churn prediction or propensity scoring. Experience working in a fully remote or hybrid environment with distributed teams. Demonstrated ability to influence cross‑functional stakeholders without direct authority. Passion for continuous learning—regularly attending conferences, webinars, or contributing to open‑source analytics projects. Core Skills & Competencies Analytical Rigor: Ability to ask the right questions, structure problems, and apply appropriate statistical methods. Business Insight: Translate data findings into strategic actions that improve revenue, reduce churn, or optimize ad spend. Collaboration: Comfortable navigating complex stakeholder landscapes, building consensus, and deli