Data Analyst

Hace 1 día

Ciudad de México, Ciudad de México Novacard Jornada completa $600,000 - $900,000 Por obra

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 Man