EMR Data Analyst
Denne stilling er desværre ikke længere ledig.
Se alle ledige stillinger
København K
Do you have solid experience with big data?
Would you like to play a key role in a progressive team?
Have you got good hands on IT experience and would like to work even closer to the business?
Then this unique opportunity may be the right one for you.
Maersk Headquarters at Esplanaden is a highly international and inspiring environment with an attractive value proposition for the employees.
As part of ensuring a successful work-life balance we promote flexible work-hours and the possibility to work from home when convenient. In connection with maternity leave, we pay for 12 weeks leave with full salary for men and 24 weeks leave for women. Our package consists of an externally benchmarked salary, pension scheme, insurance and 6 weeks holiday a year.
You can look forward to becoming a valued team lead, for a team of 100+ employees, bringing your desire to perform and influencing the way we do things.
We offer a gateway into a diverse team in an international environment with career opportunities.
At Maersk we value the diversity of our talent and will always strive to recruit the best person for the job – we value diversity in all its forms, including but not limited to: gender, age, nationality, race, sexual orientation, disability or religious beliefs.
We are proud of our diversity and see it as a genuine source of strength for building high performing teams.
As EMR Data Analyst you will be responsible for extracting relevant data from source(s), transforming the way we do business reports by identifying patterns and enchancing visualizing data thereby assisting Head of EMR in the decision making process.
Other key areas of responsibility:
• Take ownership of analytical projects end to end from extracting and exploring data, generating hypothesis, building a structured analysis, and rigorously evaluating methods and results
• Provide analytical and valuable insights for decision-making support for key projects and management
• Work closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools
• Communicate findings and propose actionable recommendations to address the problems
The ideal candidate will have a Bachelor Degree in Computer Science/Statistics/Math or Engineering combined with at least 3-years in Data Analyst position or otherwise in projects involving big data.
You also have large scale experience in the field of container logistics/EMR.
Furthermore you:
• Are proficient in business intelligence tools and data warehouse i.e. SQL, MS Office, Tableau, SAP BI and Power BI
• Must be data savvy and love crunching numbers
• Have strong analytical and statistical analysis skills in order to extract insights and recommendations
• Be fluent in English with strong communication skills (both written and verbal)
• Having experience in R, data modeling, hypothesis testing are huge benefits.
Would you like to play a key role in a progressive team?
Have you got good hands on IT experience and would like to work even closer to the business?
Then this unique opportunity may be the right one for you.
We offer
Maersk Headquarters at Esplanaden is a highly international and inspiring environment with an attractive value proposition for the employees.
As part of ensuring a successful work-life balance we promote flexible work-hours and the possibility to work from home when convenient. In connection with maternity leave, we pay for 12 weeks leave with full salary for men and 24 weeks leave for women. Our package consists of an externally benchmarked salary, pension scheme, insurance and 6 weeks holiday a year.
You can look forward to becoming a valued team lead, for a team of 100+ employees, bringing your desire to perform and influencing the way we do things.
We offer a gateway into a diverse team in an international environment with career opportunities.
At Maersk we value the diversity of our talent and will always strive to recruit the best person for the job – we value diversity in all its forms, including but not limited to: gender, age, nationality, race, sexual orientation, disability or religious beliefs.
We are proud of our diversity and see it as a genuine source of strength for building high performing teams.
Key responsibilities
As EMR Data Analyst you will be responsible for extracting relevant data from source(s), transforming the way we do business reports by identifying patterns and enchancing visualizing data thereby assisting Head of EMR in the decision making process.
Other key areas of responsibility:
• Take ownership of analytical projects end to end from extracting and exploring data, generating hypothesis, building a structured analysis, and rigorously evaluating methods and results
• Provide analytical and valuable insights for decision-making support for key projects and management
• Work closely with various business functions to identify opportunities, analyze, and interpret trends or patterns in complex data sets using different techniques and tools
• Communicate findings and propose actionable recommendations to address the problems
We are looking for
The ideal candidate will have a Bachelor Degree in Computer Science/Statistics/Math or Engineering combined with at least 3-years in Data Analyst position or otherwise in projects involving big data.
You also have large scale experience in the field of container logistics/EMR.
Furthermore you:
• Are proficient in business intelligence tools and data warehouse i.e. SQL, MS Office, Tableau, SAP BI and Power BI
• Must be data savvy and love crunching numbers
• Have strong analytical and statistical analysis skills in order to extract insights and recommendations
• Be fluent in English with strong communication skills (both written and verbal)
• Having experience in R, data modeling, hypothesis testing are huge benefits.
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i København K.
Jobbet er oprettet på vores service den 5.2.2020, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Data Manager
- København K
Lignende jobs
-
[xxxxx] Digital søger en Data Specialist
[xxxxx] er i gang med en stor digital transformation, hvor vi systematisk udskifter en række af vores eksisterende systemer for at kunne s[xxxxx]e fundamentet for morgendagens boligadministration. Vi k..Få mere info- Data Manager
- København SV
-
Data manager i Frederiksberg
Shape the Future of Payments at Banking Circle!Are you a detail-oriented, curious, and data-driven problem solver who thrives in a fast-paced, innovative environment? Do you want to build and m..Få mere info- Data Manager
- Frederiksberg
-
HR dataanalytiker
I [xxxxx] deler vi en fælles vision om at skabe bæredygtige byer. I HR bidrager vi til denne vision gennem vores fokus på rekruttering, employer branding, diversitet og et bæredygtigt arbejdsliv..Få mere info- Data Manager
- København S
-
Machine Learning Engineer
We are seeking a talented Machine Learning Engineer to join our Human Centered AI team within the Emerging Products function. In this role, you will be responsible for developing and implementing c..Få mere info- Data Manager
- København
Statistik over udbudte jobs som data managere i København K
Herunder ser du udviklingen i udbudte data manager i København K over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal data managere.
Se flere statistikker her:
Statistik over udbudte data managere i København K over tid
| Dato | Alle jobs som data managere |
|---|---|
| 24. december 2024 | 0 |
| 23. december 2024 | 0 |
| 22. december 2024 | 0 |
| 21. december 2024 | 0 |
| 20. december 2024 | 0 |
| 19. december 2024 | 0 |
| 18. december 2024 | 0 |
| 17. december 2024 | 0 |
| 16. december 2024 | 0 |
| 15. december 2024 | 0 |
| 14. december 2024 | 0 |
| 13. december 2024 | 0 |
| 12. december 2024 | 0 |
| 11. december 2024 | 0 |
| 10. december 2024 | 0 |
| 9. december 2024 | 0 |
| 8. december 2024 | 0 |
| 7. december 2024 | 0 |
| 6. december 2024 | 0 |
| 5. december 2024 | 0 |
| 4. december 2024 | 0 |
| 3. december 2024 | 0 |
| 2. december 2024 | 0 |
| 1. december 2024 | 0 |
| 30. november 2024 | 0 |
| 29. november 2024 | 0 |
| 28. november 2024 | 0 |
| 27. november 2024 | 0 |
| 26. november 2024 | 0 |
| 25. november 2024 | 0 |
| 24. november 2024 | 0 |