Data Analyst

M8l; Ciudad de México; Hybrid; MXN 700,000 - 1,050,000; Full time

Benefits offered by this job

Hybrid work arrangement

Data-driven culture stipend

Job summary

NOVACARD in Mexico City is seeking a Strategy & Data Governance Analyst to bridge business strategy, financial analytics, and enterprise data management.

You will build a data-empowered decision culture, drive governance, data quality, and measurement across functions, and deliver executive insights through dashboards and models. This hybrid role collaborates with IT, Product, Data, and Finance to turn data into strategic action, supporting planning, OKRs, and performance improvements.

Qualifications

• Experience in analytics and governance for enterprise data.
• Ability to translate business goals into measurable data objectives.
• Experience building dashboards and executive reporting.
• Strong collaboration across Strategy, Product, Data, and Finance teams.

Responsibilities

• Drive Strategic Analytics across fintech metrics and LTV/CAC dynamics.
• Lead data-driven transformation with standardized KPI definitions and reporting.
• Build data governance artifacts: metadata, catalog, lineage, glossary.
• Maintain data quality KPIs and analytics observability.
• Run experiments (A/B, multivariate) to validate hypotheses.
• Deliver executive insights via dashboards and models for planning and forecasting.
• Collaborate cross-functionally to promote data stewardship and governance.

Skills

SQL

Python

Power BI

Data Governance Platforms

DWH & Data Catalog

Statistics & Experimentation

Financial & Strategic Analysis

Tools

Ataccama

Collibra

Alation

OpenMetadata

Postgres

Tableau

Looker

Job description

Hybrid in Mexico City, Mexico. The description mentions remote arrangements elsewhere without naming countries; those locations require employer confirmation.

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.