Marketing - Data Analyst

**Your Mission**Convert data into **strategic decisions** that impact **acquisition, conversion, and retention**. You will design and scale **Power BI dashboards**, measure campaign performance, identify **upsell/cross-sell opportunities**, and deliver insights that drive growth.**Key Responsibilities:****Design, model, and maintain dashboards** in **Power BI** (DAX, Power Query, semantic models, security roles).* **Operationalize initiative tracking** with clear KPIs and reporting cadence for Marketing and Commercial stakeholders.* **Measure campaign performance** (pre/post, incremental impact, attribution by channel/audience) and its effect on production.* **Analyze upsell/cross-sell, cohorts, and propensity**, prioritize recommendations, and quantify business value.* **Deep dive into churn**: reasons, risk segments, and mitigation actions.* Ensure **data quality, traceability, and governance**: naming standards, metric documentation, consistency checks.* **Automate refreshes, alerts, and workflows** with Power Platform for efficiency.* Prepare **clear narratives and presentations** for leadership and non-technical teams.* Collaborate on **international projects** within a global data-driven culture.**What We’re Looking For*** Marketing or similar degrees* **3+ years of experience** as **Data Analyst/BI**, ideally in insurance, banking, or retail/telco with marketing and sales focus.* Advanced skills in **Excel**, **Power BI** (modeling, advanced DAX, Power Query), and **SQL** for data extraction/preparation.* Experience measuring **campaigns and commercial KPIs** (lead funnel, conversion, CPA/CAC, LTV, churn).* Strong **data storytelling** skills: translate findings into decisions and business cases.* **Fluent Spanish** and **professional English** (B2).**Nice to Have*** **Python** for advanced analysis (segmentation, statistical tests, automation).* Knowledge of the **insurance market** (life, savings, health; pricing, distribution, channels).* Experience with **propensity models, scoring, reproducible business rules**.* Background in **statistics/experimentation** (A/B testing, lift/incrementality).**Why You’ll Love Working Here*** Join a **Top Employer** recognized as one of the best companies to work for in Spain.* Be part of a **solid, innovative, and growing company** with real impact on business transformation.* Enjoy **flexible hours**, **remote work options**, and a **collaborative environment**.* Access **career development programs**, **training**, and **international projects**.* Benefit from **life insurance, pension plan, wellness programs**, **free parking** and **flexible compensation** (transport, childcare, health, training) **meal** and **telework allowance**.**Nationale-Nederlanden***In Nationale-Nederlanden we are committed with diversity. We are proud to be an inclusive organization and we offer equal opportunities, regardless of race, cultural background, gender, gender identity, religion, national origin, age, disability, marital status, and sexual orientation. One of our core values is taking care of our employees so they can give their best within a respectful environment.*At **Nationale-Nederlanden**, we believe that **people and data drive our success**. With more than **175 years of experience**, presence in **11 countries**, and a strong commitment to **innovation, digitalization, and talent development**, we are shaping the future of insurance. Now, we’re looking for a **Data Analyst** who can turn data into actionable insights that boost **Marketing and Commercial performance** in the Spanish insurance market.**Diversity and Inclusion** We embrace everyone. Together we build an environment in which people feel welcome, valued and respected. In this company we seek that our workers make of their clients great experience their status quo. We wat that all of them contribute to the wellbeing of our big family.**Commitment to society** We assume the responsability of taking care of the social wellbeing. We want to use our resources, experience and scope to help society to achieve a sustainable prosperity in the long term.#J-18808-Ljbffr