Data Analyst Investment Banking @ing Hubs Romania

**Discover ING Hubs Romania** ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of **over 2000 high-performing engineers, risk, and operations professionals.**  We started out in 2015 as ING’s software development hub, then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and operate from our office in Bucharest. **Our tech capabilities remain the core of our business**, with more than 1800 colleagues active in Data Management, Touchpoint Channels & Integration, Core Banking, and Global Products.  We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.   For us, impact isn't a perk. It's the driver of our work. We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?   **The mission** We're looking for a Senior Data & Analytics Engineer to join the Investment Tribe. This role is primarily focused on data pipelines and business data translation (70%) with a complementary focus on advanced analytics and business insights (30%).  You will play a key role in shaping the investment data landscape, enabling strategic decision-making, supporting regulatory initiatives, and driving data-driven innovation across investment products and customer journeys.  **Your day to day** **Analytics Engineering & Business Data Translation** * Collaborate with business stakeholders, investment product owners, and cross-functional squads to understand business objectives, processes, and data needs.  * Translate business requirements into scalable data models, engineering specifications, and end-to-end data solutions.  * Design, build, and optimize robust data pipelines and data transformation frameworks supporting investment use cases.  Develop and maintain high-quality, reusable, and scalable datasets aligned with enterprise data standards.  * Ensure data consistency, lineage, governance, and quality across investment data domains.  * Work closely with engineers, and platform teams to implement modern data engineering practices.  * Drive automation of data ingestion, transformation, validation, and reporting workflows.  * Support regulatory, risk, and compliance reporting through reliable and governed data assets.  * Contribute to the evolution of ING Belgium’s investment data strategy and data platform capabilities.  * Enable self-service analytics by delivering trusted semantic layers, curated datasets, and scalable reporting foundations.  * Identify opportunities to improve system performance, data reliability, and operational efficiency.  * Partner with business and technology teams to define KPIs, business rules, and data definitions.  * Document functional and technical data flows, business logic, and transformation rules.  * Promote best practices in data engineering, data governance, and agile delivery.  **Data Analytics & Insights (30%)**  * Perform advanced data analysis to support commercial, strategic, and operational decision-making.  * Develop dashboards, KPI reporting, and analytical solutions for investment product performance and customer behavior.  * Deliver actionable insights on investment trends, portfolio performance, sales performance, and customer engagement.  * Support stakeholders with ad-hoc analysis and business performance monitoring.  * Translate analytical findings into clear recommendations for business and leadership teams.  * Contribute to predictive analytics and trend analysis initiatives where relevant.  * Promote a strong data-driven culture and improve data literacy within the Investment Tribe.  **What you'll bring to the team** **Skills & experience:** * 7+ years of experience in data engineering, data analytics, or data management within financial services, banking, investment, or wealth management environments.  * Strong expertise in translating business requirements into technical data solutions and scalable engineering deliverables.  * Advanced SQL expertise with strong hands-on experience in data transformation and optimization.  * Strong experience with modern data engineering concepts including ETL/ELT, data modeling, orchestration, and pipeline automation.  * Proficiency in analytics and reporting tools such as Power BI, Excel, and SAS and familiarity with Python.  * Experience working with investment data including mutual funds, ETFs, discretionary portfolios, and related performance metrics.  * Solid understanding of data governance, data quality management, and metadata management principles.  * Proven experience working in agile environments with cross-functional teams.  * Strong stakeholder management and communication skills with the ability to simplify complex technical concepts.  * Strong analytical mindset with the ability to connect business processes, data structures, and customer behavior.  **Nice to have:** * Experience with cloud-based data platforms and enterprise data ecosystems. * Knowledge of regulatory reporting and financial data controls within banking or investment domains.  * Exposure to predictive analytics, machine learning, or advanced statistical analysis.  * Experience designing scalable semantic models and reusable analytical data products.  * Ability to coach, mentor, and support teams in adopting data-driven ways of working.  * Strong curiosity and passion for understanding data flows, systems, and business processes end-to-end.  _If you want to deep dive into the processing of personal data conducted by ING Hubs Romania during the recruitment process and your rights related to it, read the **privacy notices** on 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