Data Analyst
il y a 1 semaine
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ING Lease Belgium is a leading provider of B2B Leasing. We are dedicated to delivering top-notch Leasing solutions to our clients with a commitment to innovation, customer service, and data-driven decision-making. As we continue to grow, we are seeking a talented Data Analyst to join our Data Squad.
As a smaller entity within ING Belgium, we pride ourselves on our agility, collaborative culture, and ability to swiftly adapt to market changes.
The team:
The Lease Data Management is a cross-border (BE/NL) squad centered around our (data) customers, powered by technology and driven by smart, determined people.
Position overview:
We are looking for a skilled Data Analyst who will be responsible for analyzing complex datasets to provide insights that drive business decisions and shape our strategic roadmap.
Given our dynamic team and the variety of our challenges, the ideal candidate must be flexible and able to steer multiple data projects simultaneously supporting various domains (sales strategy, commercial performance, operational efficiency, regulatory reporting, …). He/She is a team-oriented individual with a strong analytical background and excellent problem-solving skills. He/she will play a critical role in transforming data into actionable insights that will guide our company's strategic initiatives and support our long-term goals.
The candidate will receive guidance and support to work independently. He/she has strong communication skills and is able to interact with a variety of stakeholders, such as sales, operations, regulation, and developers.
How to succeed?
We hire smart people like you for your potential and your ability to work as a team and interact with your stakeholders. Our biggest expectation is that you'll stay curious, keep learning, and take on responsibility. In return, we'll back you to develop into an even more awesome version of yourself.
Responsibilities:
- The position is composed of 2 parts:
- 80% Data Analyst
§ Collect business requirements from all stakeholders (sales, operations, IT, Product Control, …) using a variety of methods such as interviews, document analysis, workshops, and workflow analysis.
§ Translate requirements into actionable stories for the Data Engineers. Ensure that the requirements are correctly implemented. Communicate effectively with business stakeholders to provide updates on data projects.
§ Collect, clean, and analyze large datasets to extract meaningful insights. Identify trends, patterns, and anomalies in data to support strategic business decisions. Present findings and recommendations to senior management and stakeholders.
§ In support of the CDO – Chief Data Officer - ensure that the GDPR regulations with regards to data are properly implemented.
§ Take responsibility for the reporting towards the regulatory authorities (NBB & ECB) and within ING.
BEHAVIORAL COMPETENCIES
- Builds partnerships and works collaboratively with others to meet shared objectives. For example, readily involves others to accomplish goals; stays in touch and shares information; discourages "us versus them" thinking; shows appreciation for others' ideas and input.
- Plans and prioritizes work to meet commitments aligned with organizational goals. For example, outlines clear plans that put actions in a logical sequence; conveys some time frames. Aligns own work with relevant workgroups. Takes some steps to reduce bottlenecks and speed up the work.
- Be curious, keep learning, and stay eager to embrace innovations. Come with new ideas, look at our products and processes from a different angle and be an innovation ambassador within our organization.
Education:
Master in Economics, Data Science, Mathematics, Statistics, Computing Sciences or related fields.
Skills:
- Proficiency in Excel.
- Fluent in English, fluency in French and/or Dutch is a plus.
- Excellent communication skills with the ability to present complex findings in a clear and concise manner.
- Flexible and able to work on different subjects in different domains.
- (Basic) knowledge of SQL and/or data visualization tools (Power BI, Cognos, QlikSense) is a plus.
- (Basic) knowledge of statistical software (Python) is a plus.
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