- Opportunity
- Join a team of experienced IT experts and quickly become an important part of it.
- Be a part of an entrepreneurial oriented company and learn what it takes to grow a successful business.
- Improve your skills and learn new technologies.
- Work in an organized environment devoted to agile methodologies.
- Be excited about your work and the people you work with and look forward to coming to work every day.
- Work at your own pace, we have flexible working hours.
- Skills
- Must have: Data processing architectures, databases
- Desirable: Linux, Big Data, Regex, Git, Jira
- Nice to have: Python, Ruby, Go-lang, Scala and Java
- Data Analyst profile
- Detail oriented: The successful Data Analyst audits large quantities of data and identifies potential issues.
- Technically skilled: This person has a working knowledge of databases and other data technologies. They are comfortable in SQL and able to pick up new concepts quickly.
- Collaborator: The Data Analyst works well in a team environment. They lean on fellow employees and internal resources to assist them with their duties.
- Task owner: This person takes responsibility for each task that they work on. They have a personal interest in the data and claim responsibility for the outcome.
- Clear and concise communicator: The successful Data Analyst keeps exceptional notes and is able to communicate their thoughts to others in an intelligible manner.
- Speaker and writer: This person should have good documentation writing and editing skills, as well as be fluent in written and spoken English
- Flexible: Comfortable with remote work
- Personal qualities
- Curious: being informed and sharing knowledge and findings
- Passionate: happy being involved in producing the best possible solutions
- Rigorous: precise and methodically organized
- Lazy: always seeking the shortest way to do things, to automate them
- Empathetic: knowing how to put him/herself into somebody else’s place, especially the users’ or other colleagues’
- Application
- CV,
- A list of your previous experience with contact details to check,
- Certifications, diplomas, references, recommendations and similar,
- Foreign language certifications,
- Proof of your experience with data analytics
- Submission
- Application submission deadline: Friday, September 1, 2017.
- We will organize an interview with short-listed candidates.
- Start of work is planned as soon as possible.
- Submit your application to the following [link].
Data Analyst - Ended
We are a hiring full-time data analyst to become a part of our team in Sarajevo. The analyst will join a team to work on an ongoing project for our client in Australia.