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(Senior) Data Management Analyst - NN

Location: The Hague
Salary: € 4814 - € 6877 a month
Employment: Full-time
As a Data Management team member, you’ll be involved in global projects where data management will be a crucial element of success while collaborating across multiple teams involving data reference information.

Are you looking for a challenging and innovative environment where personal development and growth are encouraged?  

Join the Data Management team as part of Insurance Investment Operations to help standardize the execution of data processes within NN Group.

This job offers you a monthly salary between €4.814 and €6.877 depending on your experience. This is based on a 40-hour work week, excluding a 13th month and holiday allowance.

Your impact as Data Management Analyst at NN Group

As a Data Management team member, you’ll be involved in global projects where data management will be a crucial element of success while collaborating across multiple teams involving data reference information.

Using your own initiative and ambition, you achieve excellent results. You will design and implement (large scale) onboarding of local business units while discussing with the local business units on standardizing their operational processes. You will analyze business requirements, test and implement new asset types. Identify opportunities for data management improvements. Development and documenting technical requirements and business processes for successful implementations. Moving forward with standard data model implementation in various Bus.

A successful candidate will be an analyst who communicates and collaborates effectively, taking ownership and accountability for operational stability, issues, and ongoing improvements in their focus areas. They will demonstrate a successful track record in a fast-paced production role, with the ability to contribute meaningfully to data-driven process improvements over time. The ability to work effectively with a wide range of stakeholders - front office customers, project managers, business analysts, and technologists.

Your responsibilities

  • You participate in assessments of existing implementations and advise on structural improvements in performance, usability and processes. Promote a data-driven culture across the organization and ensure the right people are aware of data governance usage. You enjoy exchanging ideas with colleagues from other departments at Insurance Investment Operations and within the entire Group
  • Support automation and enhancements to gain efficiencies in daily execution, test functionality and performance before implementation. Proactively review and identify requirements with the team
  • Design, develop & implement new requirements and refine existing processes to allow fast and easy BAU with minimum manual efforts for operational users
  • Define and organize the implementation of data within multiple projects in collaborations with the data stakeholders. Coordinate and ensure the governance of the data attributes within the Insurance Investment area. Manage operational projects with high business content and ensure communication to the various stakeholders. Plan the interdependencies between projects and ensure reasonable timelines are maintained on various projects and process improvements
  • Create detailed and up-to-date documentation

Who you are

  • You have an analytical mind and love diving into data. You’re service-minded and enjoy interacting with other professionals. You have proven ability to work cross-functionally to achieve goals and objectives. Team player, with at least three years of relevant experience in optimizing financial instrument data processes at an asset management company or a comparable financial services company
  • Excellent stakeholder management, in- and outside of the team, to enable change with a focus on controlled onboarding of changes in the daily operations. Ability to effectively communicate (both written and verbal) at different levels of the organization and to lead discussions in small and more significant groups. Fluent in English, both written and verbally
  • You’re curious and love finding missing pieces. You want to be challenged daily, so you’re constantly growing. You have the ability to be self-directed while working under tight deadlines
  • Excellent command using MS Excel is a prerequisite, and experience using Power BI and SQL is a plus. Good understanding of the impacted attributes of financial instruments from a data perspective
  • Knowledge of Markit EDM and SimCorp Dimension – good to have

Your colleagues

Within NN Group Insurance Investment Operations, the Data Management team is part of the Insurance Accounting department. The team manages daily operations of reference data systems and associated businesses processes. We are a small team of 5-analysts, with an Offshore support team for daily operational work.

Continue developing

It is important to us that you continue to develop yourself. We give you the space and the confidence to grow in your career as well as a person. We help you with:

  • Plenty of training and learning opportunities in our Learning & Development Centre
  • A large (international) network of colleagues who are keen to share their knowledge with you
  • The autonomy to set out your own development path

Employee benefits

You are more than a colleague and that is something we understand very well at NN. You have many roles in life, leading to different choices. At NN we give you the opportunity to select employee benefits that are important to you. For instance buying additional leave days and flexible working hours. In consultation with your manager and your direct colleagues, you are able to work out of any location at any time. You get enough flexibility to adjust your working pattern to your personal needs. Also part of the benefits are allowances for setting up your home office and for internet use. In addition, you will receive:

  • Collective pension scheme with a personal contribution of only 6%
  • 194.4 hours of leave, based on a 36-hour week (that’s 27 vacation days for a 5-day working week) and one Diversity Day
  • Holiday allowance and a 13th month, paid with your monthly salary
  • NS Business Card 2nd class, which gives you unlimited travel 7 days a week. Do you prefer to travel with your own transport? Then you can declare the kilometres travelled for business and commuting.

At NN we work hybrid. We combine working from home and working in the office. Teams can meet online or in person. You and your team agree on what suits you best. We have set up our offices in such a way that there is a suitable place for every type of work. The official location for this job is The Hague.

Will you be our new colleague?

If you are enthusiastic about this vacancy and think that you would be a good fit for the team at NN, we would like to invite you to apply. We are very keen to find out who you are, what motivates you and what you can contribute to this role at NN.

Apply now

If you have any questions about the vacancy, you can reach out via phone or WhatsApp to Tarryn Richmond, Managing Expert via 06-21926479. Any questions about the process can be directed to Joyce van den Burg, HR Specialist via 06-83499657.

This is a permanent position. A candidate will receive a contract from NN and we are not open to interim/freelance assignments and/or candidates or recruitment agencies. Thank you very much for your understanding.

Location:

The Hague

Information and application:

Apply:

Please send your application for (Senior) Data Management Analyst at NN in The Hague including your CV via our website.

Job code:

REQ2682784

Job posted

05 oktober 2022
Apply Now

More information:

If you have any questions about the vacancy, you can reach out via phone or WhatsApp to Tarryn Richmond, Managing Expert via 06-21926479.

Any questions about the process can be directed to Joyce van den Burg, HR Specialist.

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Contact:
Joyce van der Burg
Senior Recruitment Adviseur a.i.
m. (+31) 6 83499657
E-mail

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Carrière als Big Data specialist

Onze (digitale) wereld is steeds meer data gedreven. Door verschillende databronnen te combineren en gebruik te maken van slimme algoritmen, kunnen voorheen onzichtbare verbanden worden blootgelegd, waarbij het niet alleen draait om data volume, maar ook om een specifieke manier van denken. De vraag naar Big data specialisten is groot en zal verder toenemen.

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