Data Analyst

Novacard; Ciudad de México; Híbrido; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

NOVACARD is seeking a Strategy & Data Governance Analyst to bridge business strategy, financial analytics, and enterprise data management. Build a data-empowered decision culture, ensure data quality, and support data-driven planning across departments.

You will collaborate with IT, Data Engineering, and Product teams to establish KPI definitions, dashboards, and governance artifacts while supporting leadership with actionable insights and rigorous experimentation.

Formación

• 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.

Responsabilidades

• Drive Strategic Analytics: analyze performance across fintech metrics and build unit-economics models.
• Identify growth drivers and operational levers for strategic improvement.
• Provide analytical support for strategic planning and targets.
• Lead Data-Driven Transformation: design a framework for data-driven decisions and KPI definitions.
• Support leadership in translating business goals into measurable data objectives.
• Build Data Governance Framework: coordinate governance artifacts like metadata, catalog, lineage, glossary, data quality and observability.
• Maintain Data Quality & Trust: define KPIs, investigate anomalies, and automate quality processes.
• Run Strategic Experiments: design and analyze A/B and multivariate tests; measure incremental impact.
• Deliver Executive Insights: develop dashboards and support forecasting and scenario analysis.
• Cross-Functional Collaboration: act as interface between Strategy, Product, Data, and Finance.
• Regular Tasks: maintain dashboards, perform deep-dive analyses, curate metadata, track governance policies.

Conocimientos

SQL

Python

Power BI

Data pipelines

Statistics

Financial analysis

Herramientas

Ataccama

Collibra

Alation

OpenMetadata

Descripción del empleo

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.