Data Analyst

Job description

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.

Job requirements    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, Open Metadata 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,…