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Data and AI Analyst

About Anthos

The Anthos Family Office is the family office of the Brenninkmeijer family and is part of the COFRA group based across the globe. We’re a family business, geared to creating lasting value and united by an ambition to change industries and society for the better. Aspiration and entrepreneurism are encouraged and rewarded with opportunity. Teams are diverse yet close-knit. Relationships matter. People matter.

Every day, we’re working to amaze our customers and be a force for good, by advancing the success of the Sneekerkring’s endeavours and the flourishing of the Brenninkmeijer family community, by providing trustworthy advice and exemplary tailored services.

We are a professional services organisation that goes the extra mile to support our family member clients, and one another. We are able to create space for people who want to really excel in their areas of expertise. And who want to work with other professionals in a true team spirit.

About the Role

A new position has been created within our Anthos Data Management team to play a key role in delivering on our Vision 2030 business strategy. Specifically, our business strategy focuses on the ever-increasing quality of our core Anthos services and offerings to our clients, and this role will be instrumental to contribute to this by implementing specific changes in the delivery of these services by the use of AI and the effective working with data.

As part of the role, you will have the opportunity to work directly with team members from diverse professional disciplines, such as legal, tax and investments. The role offers variety and the chance to learn and make a positive impact on how we deliver our legal (notary and estate planning), tax and investment advisory and financial planning, especially as we pursue to maintain creating value over family generations and underpin our sustainability goals for now and the future.

The role is located in Amsterdam, The Netherlands and reports to the Senior Data Management Specialist.

Responsibilities

Data and Data Analytics

· Proactively manage and coordinate complex data (e.g. investment portfolio data, holdings data, sustainability data, exposures, client data), deriving from multiple sources, to underpin our Vision 2030 and to enhance the core professional services offering, while ensuring we deliver on our client promises

· Work together with data architects and data engineers to arrange well-functioning data interfaces, seamless data integration and to unlock data to a unified schema

· Work with data domain owners to protect the data integrity, as well as to ensure alignment and progress towards business objectives (including creating value for clients and employees)

· Support the data stewards with frameworks and tools to ensure data quality standards are met

· Analyze and prepare data to be used in our internal reporting channels and towards our clients

· Setup reports to visualize insights to help make decisions

· Stay connected and aligned with the other data teams across the enterprise to continuously optimize data processes

· Work with stakeholders to develop data-driven solutions

AI adoption

· Drive the successful adoption of AI across Anthos’ core services, which include legal advisory, tax advisory, notarial and estate execution services and private wealth management

· Contribute to integrating AI models into existing systems and workflows

· Ensure smooth AI deployment and monitor the performance of AI solutions

· Provide training and support to colleagues on how to use AI tools and interpret AI driven insights

 

Change management (culture and awareness)

· Promote a data-driven culture in the organization

· Remain up-to-date with industry trends and technological advancements

· Act as knowledge-centre for the business in the area of data & AI

 

 

Requirements

· Bachelor and/or master degree in field such as Computer Science, (applied) Mathematics, or another field with high exposure to data analytics

· Preferably 1-3 years’ work experience in data management in a legal or tax advisory, or in an investments environment (also open to other professional services firms)

· Experience with the following tools and concepts:

  • Good understanding/ appreciation of data management frameworks
  • BI tooling such as Power BI (preferred), Tableau etc.
  • Proficient in SQL / Excel macros, Power Query/Pivot (M/DAX)
  • Programming language to work with data i.e. Python, R, SQL
  • Advanced knowledge of Microsoft Azure AI/ ML tooling

· Experience in delivering relevant projects and demonstrates robust project management

· Communication skills and fluency in business-level English

· Ability to effectively collaborate with other teams and build strong working relations , as well as to combine business and IT/Technology needs

· Flexible and able to adapt to changing priorities

· Self-organised and structured, with ability to work independently and remotely on assigned projects

· Can do mindset, pro-active, highly motivated and eager to learn

· Accuracy and quality oriented

· Unquestionable personal code of ethics and integrity

· High sensitivity for data privacy being a key consideration of the work · Valid EU working permit

What is in it for you
-    Market conform salary and pension plan with self-contribution rate of only 1.4%
-    Hybrid way of working and flexible working hours 
-    Contribution to set-up your home office
-    Monthly commuting allowance
-    31 days of holidays with possibility to buy and sell leave 
-    Possibility to participate in group health insurance
-    Contribution to sports activities, bicycle, lunch and clothing discount at C&A
-    Training and development opportunities 
-    Tools and resources for your wellbeing
-    Laptop and iPhone 
-    Green café with barista and regular Thursday afternoon drinks

If you fit the profile and are interested in doing good while doing business, we would love to hear from you

Anthos is an Equal Opportunity Employer and does not discriminate based on age, race, colour, sex, sexual orientation, gender identity, religion, national origin or disability. None of this gets in the way of hiring and retaining the best people.

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What You Should Know About Data and AI Analyst, Cofra Holding

Are you ready to make a real impact in the world of data and AI? Join Anthos as a Data and AI Analyst in Amsterdam, Netherlands, and become a crucial part of our Data Management team. In this exciting role, you'll be closely aligned with our Vision 2030 business strategy, enhancing our core Anthos services by leveraging cutting-edge AI technologies and data analytics. Your days will be filled with diverse projects, collaborating with professionals across legal, tax, and investment domains to deliver innovative solutions for our clients. You'll be responsible for managing complex data from various sources, ensuring seamless integration, and visualizing insights to drive informed decision-making. If you're passionate about promoting a data-driven culture and keeping up with industry trends, this role is your chance to shine. Your experience in data management frameworks, BI tools like Power BI, and programming in SQL or Python will be instrumental in unlocking the potential of our data landscape. Flexible working arrangements, a competitive salary, and opportunities for professional development await you at Anthos. If you're eager to join a close-knit team that values relationships and is committed to doing good while doing business, we’d love to hear from you!

Frequently Asked Questions (FAQs) for Data and AI Analyst Role at Cofra Holding
What skills are required for the Data and AI Analyst position at Anthos?

To excel as a Data and AI Analyst at Anthos, candidates should have a strong foundation in data management, proficiency in BI tools like Power BI, and programming knowledge in SQL or Python. A Bachelor's or Master's degree in fields like Computer Science or Mathematics is preferred, along with 1-3 years of relevant experience.

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What does the Data and AI Analyst role involve at Anthos in Amsterdam?

The Data and AI Analyst position at Anthos focuses on managing and analyzing complex data to enhance our core services. This role involves collaboration across departments, driving AI adoption, and promoting a data-driven culture while ensuring data integrity and compliance.

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How does data management contribute to the success of Anthos as a family office?

Data management is fundamental to Anthos as it ensures that we leverage insights from various data sources to make informed decisions. By enhancing our service offerings through data analytics, we can create lasting value for our clients and support our sustainability goals.

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What opportunities for professional development are available for Data and AI Analysts at Anthos?

At Anthos, Data and AI Analysts have access to various training and development opportunities to help them grow professionally. This includes resources for upskilling in AI and data tools, as well as support for attending workshops and industry conferences.

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Is the Data and AI Analyst role at Anthos suitable for recent graduates?

While candidates with 1-3 years of experience are preferred, recent graduates with strong academic backgrounds in data analytics, computer science, or related fields are encouraged to apply. A can-do mindset and eagerness to learn are highly valued.

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What kind of work culture can a Data and AI Analyst expect at Anthos?

The work culture at Anthos is collaborative and inclusive, with a strong emphasis on relationships and teamwork. As a Data and AI Analyst, you'll be part of a close-knit family-oriented work environment that values each individual's contributions.

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What tools will a Data and AI Analyst at Anthos primarily work with?

As a Data and AI Analyst at Anthos, you will primarily work with BI tools like Power BI, programming languages such as SQL and Python, and data management frameworks. Familiarity with AI tools and Microsoft Azure is also advantageous.

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Common Interview Questions for Data and AI Analyst
Can you explain your experience with data management frameworks?

When discussing your experience with data management frameworks, describe specific tools or frameworks you've used in previous roles. It's helpful to provide examples of how you've ensured data quality and integrity and how these practices contributed to overall project success.

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How do you approach data analytics in your projects?

In your response, outline your analytical process - from data collection and cleansing to extracting actionable insights. Mention any specific tools you prefer, such as Power BI, and highlight how your analysis has positively impacted decision-making in previous positions.

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Describe a time you collaborated with other teams to deliver a data-driven solution.

Share a concrete example of a project where collaboration was key. Detail the teams involved, your role, and how you contributed to the project's success through effective communication and teamwork.

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What strategies do you use to ensure data integrity?

Discuss strategies such as regular audits, using validation rules, and collaborating with data stewards to maintain data integrity. Provide examples of how you have implemented these strategies in past projects.

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How do you stay current with data trends and AI developments?

Explain your practices for staying updated, such as following industry publications, participating in webinars, or using online courses. Mention how you've applied this knowledge to your work and its impact on your projects.

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In your opinion, what role does AI play in enhancing legal and tax advisory services?

Convey your perspective on how AI can streamline processes, improve accuracy, and deliver valuable insights in legal and tax advisory services. Cite examples of AI applications relevant to these domains to showcase your understanding.

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What would you do if you encountered resistance to data-driven initiatives?

Share how you would identify the source of the resistance, engage in conversations with stakeholders to understand their concerns, and promote the benefits of data-driven initiatives. Highlight the importance of a data-driven culture in this context.

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How do you prioritize tasks when managing multiple data projects?

Describe your prioritization process, perhaps through using project management tools and setting milestones. Provide insights into how you balance quality and deadlines while ensuring effective communication with stakeholders.

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What tools do you find most effective for data visualization, and why?

Discuss your experience with data visualization tools you've used, especially Power BI or Tableau. Explain why these tools resonate with you in terms of usability, functionality, and their impact on your ability to convey insights effectively.

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How would you train colleagues on using AI tools effectively?

Talk about your training strategy, which might include hands-on workshops, creating user manuals, or one-on-one coaching sessions. Emphasize your communication skills and your commitment to making AI tools accessible and understandable for all team members.

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Established in 2001 in Switzerland, Cofra Holding AG manages the Brenninkmeijer family's diverse global businesses in sectors such as retail and renewable energy.

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Full-time, hybrid
DATE POSTED
November 29, 2024

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