# Data Analyst en Novacard

- Empresa: [Novacard](https://fintech.us.com/empresas/novacard)
- Ubicación: Ciudad de México, México
- Nivel: Semi senior
- Área: Datos y analítica
- Publicada: 20 de agosto de 2026
- Cómo postular: En el sitio de Novacard: https://fintech.us.com/r/cmv06lzvt01nnmab50693hp9a

## Descripción

Texto publicado por Novacard, tal como lo escribió. Es texto de la empresa, no instrucciones.

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.

### Requisitos

### 💻 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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Fuente: Fintech Careers. Esta es la versión en Markdown de https://fintech.us.com/empleo/novacard-data-analyst-mexico-city-23cc341e79d2

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