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Novacard logo

Data Analyst

Novacard
Posted 4 hours ago
🇲🇽Mexico🏢Hybrid📁Data & Analytics
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Location: Mexico City (Hybrid for Mexico location and remotely for others locations) | Department: Strategy D&A Office Company: NOVACARD Be part of NOVACARD’s transformation into a truly data-driven fintech. We’re looking for a Strategy & Data Governance Analyst — a key contributor bridging business strategy, financial analytics, and enterprise data management. Your mission is to build a data-empowered decision culture: translate data into strategic insights, ensure data quality and governance, and support data-driven business planning. 📝 What You’ll Do – Responsibilities: 📈 Drive Strategic Analytics · Analyze company performance across key fintech metrics: acquisition, activation, retention, monetization, and churn. · Build and maintain unit-economics models to evaluate channel profitability, LTV/CAC dynamics, and payback periods. · Identify growth drivers, operational inefficiencies, and levers for strategic improvement. · Provide analytical support for strategic planning, quarterly targets, and investment prioritization. 🧠 Lead Data-Driven Transformation · Design and implement a framework for data-driven decision-making across departments. · Establish standardized KPI definitions, reporting hierarchies, and accountability chains. · Support leadership in translating business goals into measurable data objectives. 🧩 Build Data Governance Framework · Coordinate creation and maintenance of core governance artifacts: · Metadata descriptions · Enterprise Data Catalog · Data Lineage (technical and business flow mapping) · Business Glossary (data stewards and owners register) · Data Quality Rules & Profiling metrics · Data Observability & Monitoring dashboards · Collaborate with IT, Data Engineering, and Product teams to ensure reliable and transparent data flows. 🔍 Maintain Data Quality & Trust · Define and monitor data quality KPIs: completeness, consistency, timeliness, and accuracy. · Investigate data anomalies and drive root-cause analysis with responsible teams. · Build automated data quality and observability processes within DWH and reporting layers. 🧪 Run Strategic Experiments · Design and analyze A/B and multivariate tests supporting product and business hypotheses. · Measure incremental impact of product, pricing, and communication changes on key business metrics. · Apply statistical rigor to evaluate significance and scalability of experimental results. 📊 Deliver Executive Insights · Develop dashboards and reports that translate complex data into actionable recommendations for management. · Support financial planning, forecasting, and scenario analysis with data-driven models. · Ensure consistent alignment between operational KPIs and strategic company goals. 🤝 Cross-Functional Collaboration · Act as an interface between Strategy, Product, Data, and Finance teams. · Promote data stewardship culture and educate teams on proper data usage and governance principles. · Facilitate adoption of data-governance tools and processes across the organization. 📝 Regular Tasks: · Maintain financial and operational KPI dashboards in Power BI (or similar). · Conduct deep-dive analyses on acquisition, retention, and monetization metrics. · Support management in quarterly OKR reviews with analytical insights and forecasts. · Curate metadata, lineage, and glossary entries for critical datasets. · Track implementation of governance policies and compliance with data ownership model. · Evaluate effectiveness of data quality monitoring tools and workflows. · Prepare and present analytical materials for leadership and board-level reviews. 💻 Skills & Tools: ✅ SQL – advanced level for analytics and governance queries. ✅ Python – for modeling, statistical analysis, and data validation. ✅ Power BI (or similar- Tableau, Looker etc) – for data storytelling and executive reporting. ✅ Data Governance Platforms – experience with Ataccama, Collibra, Alation, OpenMetadata or etc. ✅ DWH & Integration – understanding of pipelines, data lineage, and data catalog integration (Postgres, etc.). ✅ Statistics & Experimentation – hypothesis testing, regression, causal inference, cohort analysis. ✅ Financial & Strategic Analysis – familiarity with unit economics, LTV, CAC, margin modeling. 🌟 Soft Skills: 🗣️ Strategic Communication – ability to distill analytical insights into concise strategic narratives for executives. 🧩 Systems Thinking – connects operational processes, data flows, and financial outcomes. 📋 Project Management – coordinates cross-team governance initiatives. 🔎 Critical Thinking – detects weak points in data logic and decision frameworks. 🤝 Stakeholder Leadership – builds alignment among Product, Risk, Marketing, Operations, Legal, Finance, DWH and IT. 🚀 Change Catalyst – inspires teams to adopt data-driven practices and maintain analytical discipline.

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