Data Analyst
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Are you enthusiastic about working with data, contributing to improve the client experience and do you want to be part of Saxo Bank’s data driven journey to reshape the financial services industry? We are looking for a Data Analyst for our Client Analytics & Research deliveries team within Data Science & Commercial Analytics department.
The Opportunity:
A key part of Saxo Bank’s success has been our ability to use the data we have available to deliver best in class product and services. Our focus now more than ever is to be client centric. The starting point for this is data on client experience and satisfaction. In this position you will be responsible for conducting ad-hoc and always-on quantitative research; analyse, report and consolidate the data collected. Moreover, you will be responsible for commutating the findings to key stakeholders and the broader organization and collaborate with other relevant teams to make sure the findings gets embedded into our business processes. For example, you will be Responsible for a robust sampling of Net Promoter Score (NPS) and reporting it to the organization as well as investigating the drivers behind positive/negative experiences.
We are looking for someone who is eager to make the difference, passionate about bringing data to life and enjoys presenting the results of your work. You are confident in working with data, are familiar with statistics and econometrics and are enthusiastic about client research. Moreover, you are a team player and enjoy working in a multicultural environment that offers equal employment opportunity.
Among others you will be responsible for:
- Designing quantitative research, mainly in the form of surveys
- Ensuring statistical validity in sampling, analysis and reporting of data
- Performing analysis with the use of PowerBI, R/Python, SQL
- Visualizing the data in presentations and reports
The Team:
As Data Analyst in Client Analytics & Research deliveries you will be part of the Modelling and Digital Analytics team w. a size of 10-15 people. The team is part of the Data Science department spanning a diverse set of backgrounds and skills. As part of the role you will be working closely with IT, Global Sales, Client Service, Digital Engagement and the other members of Data Science.
The focus of the team is among other things to use modern statistical/machine learning tools, big data, and customer surveys to gain insight in our customer base and to optimize the way we work with our clients throughout the value chain. This includes a data-driven approach to optimizing engagement and in general supporting decisions related to all our client touchpoints in order to maximize client happiness and lifetime value.
Your Profile:
As a person you come across as dedicated, driven, curious and goal oriented.
Further we are looking for a candidate with the following qualifications:
- 0-3 years of working experience
- Ability to work in a collaborative environment and communicate proactively with stakeholders
- Analytical mindset and attention to details
- Familiar with statistics and econometrics
- Knowledge of SQL
- Familiarity with Python, R or similar
- Previous experience in working with client research is a plus
- Knowledge of PowerBI is a plus
- English, verbal and written
We offer:
The COO organisation is responsible for building, constantly developing and improving the full digital value chain that we deliver to our clients and partners. This is done in close collaboration with the Saxo Experience Office and supports the bank in always providing a world-class digital Saxo experience in an efficient, stable and scalable way.
At Saxo IT and the business are integrated, ensuring end-to-end ownership. We are organized based on what we want to do for our clients rather than on subject matter expertise. Within COO you will work together with people from different disciplines, but all with the same goal in mind: making a positive difference for our clients.
The COO umbrella includes the following departments: Operations, Security & Financial Crime Prevention, Trading and our ‘Backbone’ consisting of Enterprise Architecture, Infrastructure, Data Platforms, Workplace Service Management, DevOps Lifecycle Management and IT Business Management.
We aspire to be a non-hierarchical, purpose-driven organisation. At Saxo, it is not about entitlement; it is about impact – no matter where you sit in the organisation. A good idea is always taken seriously and you can truly make a difference.
When you work here, you become a Saxonian. Obviously you will get an attractive compensation package. But we also invest in your personal development and offer you large responsibility from day one. We encourage an open feedback culture and a supportive team environment. If you show a collaborative spirit, drive and passion, your learning curve will be steep and your (international) career opportunities with Saxo immense.
At Saxo we don’t just offer a job – we offer an opportunity to invest in your future!
How to apply:
Click the Apply button to create an account and upload your resume (and a short motivation). We look forward to getting to know you better!
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i København
Jobbet er oprettet på vores service den 4.7.2022, men kan have været deaktiveret og genaktiveret igen.
- Data Manager
- København
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Statistik over udbudte jobs som data managere i København
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Statistik over udbudte data managere i København over tid
| Dato | Alle jobs som data managere |
|---|---|
| 24. december 2024 | 68 |
| 23. december 2024 | 65 |
| 22. december 2024 | 65 |
| 21. december 2024 | 63 |
| 20. december 2024 | 58 |
| 19. december 2024 | 60 |
| 18. december 2024 | 56 |
| 17. december 2024 | 52 |
| 16. december 2024 | 50 |
| 15. december 2024 | 50 |
| 14. december 2024 | 46 |
| 13. december 2024 | 55 |
| 12. december 2024 | 43 |
| 11. december 2024 | 46 |
| 10. december 2024 | 49 |
| 9. december 2024 | 48 |
| 8. december 2024 | 52 |
| 7. december 2024 | 52 |
| 6. december 2024 | 55 |
| 5. december 2024 | 52 |
| 4. december 2024 | 54 |
| 3. december 2024 | 58 |
| 2. december 2024 | 62 |
| 1. december 2024 | 65 |
| 30. november 2024 | 65 |
| 29. november 2024 | 65 |
| 28. november 2024 | 64 |
| 27. november 2024 | 64 |
| 26. november 2024 | 63 |
| 25. november 2024 | 65 |
| 24. november 2024 | 63 |
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