Data Analyst

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.