Data Analyst

About this role

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.