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.