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, OpenMetadata or etc. DWH & Integration – understanding of pipelines, data lin