Data Analyst

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. Department: Strategy D&A Office.

Responsibilities

Analyze company performance across key fintech metrics (acquisition, activation, retention, monetization, churn); Build and maintain unit-economics models (channel profitability, LTV/CAC, payback periods); Identify growth drivers, operational inefficiencies, and strategic improvement levers; Provide analytical support for strategic planning, quarterly targets, and investment prioritization; 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; Coordinate creation and maintenance of governance artifacts (metadata descriptions, enterprise data catalog, data lineage, business glossary, data quality rules and profiling metrics, data observability and monitoring dashboards); Collaborate with IT, Data Engineering, and Product teams to ensure reliable and transparent data flows; Define and monitor data quality KPIs (completeness, consistency, timeliness, accuracy); Investigate data anomalies and drive root-cause analysis; Build automated data quality and observability processes within DWH and reporting layers; Design and analyze A/B and multivariate tests; Measure incremental impact of product, pricing, and communication changes; Develop dashboards and reports translating complex data into actionable recommendations for management; Support financial planning, forecasting, and scenario analysis; Act as interface between Strategy, Product, Data, and Finance teams; Promote data stewardship culture and educate teams on data usage and governance; Maintain financial and operational KPI dashboards in Power BI (or similar); Conduct deep-dive analyses on acquisition, retention, and monetization; Support management in quarterly OKR reviews; 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

Requirements

Advanced SQL for analytics and governance queries; Python for modeling, statistical analysis, and data validation; Power BI (or similar, e.g., Tableau, Looker) for data storytelling and executive reporting; Experience with data governance platforms such as Ataccama, Collibra, Alation, OpenMetadata; Understanding of pipelines, data lineage, and data catalog integration (e.g., Postgres); Statistics and experimentation: hypothesis testing, regression, causal inference, cohort analysis; Familiarity with unit economics, LTV, CAC, and margin modeling; Strategic communication; Systems thinking; Project management; Critical thinking; Stakeholder leadership; Change catalyst mindset