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Trumpa antraštė: |
Senior data analyst |
Darbo sritis: |
Informacinės technologijos |
Profesija: |
Kita |
Miestas: |
Kaunas |
Skelbimo galiojimo laikas baigėsi
Aprašymas
Strategic Staffing Solutions International | Strategic Staffing Solutions International client - Intermedix has been a leader in healthcare business services and technology enabled solution for over 30 years. Their solutions support planning, communication, command, and control to better connect healthcare providers, public health agencies, and emergency management personnel. Intermedix takes pride in serving their clients with extensive industry expertise and exceptional technology to back it up. Today, with approximately 2500 employees, Intermedix annually processes more than 15 million patient encounters, collects over three billion in revenue for clients, and connects more than 95% of the United States population through its emergency preparedness and response technologies. Intermedix Lithuania was founded in the end of 2013 and growing up very fast with close partnership with Lithuanian Government and local universities, now there are more than 420 young, ambitious, skilled employees. Intermedix rewards innovation and hard work with opportunities for growth and development. If you are looking for a career to join an organization that is a leader in health and safety then Intermedix may be just the place for you. Intermedix currently has an opening for: | SENIOR DATA ANALYST (TRAINING ABROAD UP TO 1 YEAR IN NEW ZEALAND AND UNITED KINGDOM) | The primary purpose of the role is: - working with customers to understand their business operating model;
- specification of customer driven software changes;
- source data analysis;
- software implementation, configuration and modelling;
- training of customers in the use of their solution.
You will be expected to contribute to decision-making, ongoing improvement processes and ownership of company goals, and to provide help and support to other members of the Intermedix team. Requirements: - Minimum period of 6 years of Demonstrable data analysis experience, including use of Excel, Access or other SQL based tools.
- Tertiary degree in a mathematically-based discipline. This could include Finance, Geo-informatics, Statistics, Computer Science, Applied Mathematics or equivalent relevant industry experience.
- Attention to detail.
- Strong customer focus.
- Ability to work both independently and collaboratively, and to exercise initiative.
- Excellent written and, verbal communication skills.
- Presenting business driven results based on your analysis to senior management and C-level personnel.
- Self-motivated, able to keep on task and progress through allocated work efficiently.
- Strong data analysis skills & problem solving skills.
- Maintain confidentiality of privileged information obtained in the course of work.
- Ability to recognise an issue and seek help/assistance when appropriate.
- Ability to translate analysed data into practical conclusions about what is happening in the real world.
- Experience interacting with customers.
- Demonstrated analytical and problem-solving skills and experience.
- Fluency in English.
Desirable: - Coding Skill in languages Python, SQL, HTML etc.
- Knowledge of mathematical simulation.
- Operations research experience.
- Experience presenting to groups.
- Experience / training in the fundamentals of statistical modelling.
- Some demonstrable post university commercial experience in an associated field.
For the position apply to: cvLT@strategicstaff.com Only selected candidates will be contacted. | Languages required English | Working time Full-time work | Location Kaunas, Lithuania | Contact information: | Contact person Strategic Staffing Solutions International | E-mail cvLT@strategicstaff.com | Address Konstitucijos pr. 7, Vilnius, 09308 Vilniaus | Telephone +370 5 2526156 | Homepage http://www.strategicstaff.com |
Prašytume nurodyti skelbimo numerį, kai kreipiates! CVO-645633-LT
Kita informacija
Skelbimas atnaujintas: |
2015.11.14 00:38 |
Skelbimas įdėtas: |
2015.11.04 00:19 |
Peržiūros: |
257 |
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