- Research and devise innovative statistical models for data analysis
- Enable smarter business processes by using analytics for meaningful insights
- Execute analytical experiments to help solve problems across Customer Service processes.
- Identify relevant data sources and sets to mine for business needs, and collect large structured and unstructured datasets and variables
- Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models
- Graduate/MBA/Masters in information systems, computer science, statistics
- Strong analytical skills and logic-driven mindset
- Communication skills with the ability to distill complex subjects to a wider audience with the ability to tailor insights to present clearly to different audiences.
- Strong understanding of data mining techniques, statistical concepts and hypothesis testing for data analysis
- Good experiences (preferably 2+ years) in utilizing Python modules for data transformation, visualization and analysis of large datasets.
- Experience in using predictive modeling or clustering or NLP for generating insights will be advantageous
- Good SQL and any visualization tool (Qlik, Tableau, PowerBI) will be advantageous
- Plus to have worked as a data analyst or data scientist or data engineer
- A flexible working environment. We work on a hybrid-model where you can choose to work two days from home and you will have two weeks per year that you can choose to work from a remote location
- Central office location in the City – We are located on Regeringsgatan in Stockholm and Dragarbrunnsgatan in Uppsala, a stone's throw from public transport and lunch restaurants.
- Healthcare allowance – Each employee receives a maximum allowable amount each year according to the Swedish Tax Agency to spend on health-promoting activities such as a gym card, massage etc.
- Pension and health insurance – Through partners we offer a comprehensive pension and health insurance so that you can get help quickly in case of an accident
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Insights Analyst - Stockholm, Sverige - Etraveli AB
Beskrivning
Etraveli Group is the globally leading company for tech solutions and fulfillment capabilities for online sales of flights. We are here to solve complexity, by connecting millions of flights and travelers across the globe. We hold consumer online travel agency brands like Mytrip, GoToGate & Flight Network and serve with flights. Etraveli Group has also established strategic partnerships with companies like Skyscanner, Google Flights, TUI, etc.
Every day we strive to make the world smaller for our customers and bigger for our people. Our diverse team of more than 2300 passionate professionals is what makes us the industry's tech wonder and the best in the world at what we do. Our major offices are in Sweden (HQ), Canada, Greece, India, Poland.
About the job
The Customer Services department within Etraveli Group works to transform complexity into user-friendly services and seamless processes. We strive to bridge the human touch with technology and continuously improve customer experience through automation, processes, and quality improvements.
The Customer Services Analytics team is responsible for supporting strategic initiatives with data tools like Python, SQL, Qlik by performing impact analysis, data exploration, trend analysis etc.
What you will do:
Requirements
You need to be a self-starter with a consultative mindset who can not only provide solutions to existing problems but also identify potential opportunities to improve and innovate in other areas and functions. We need someone comfortable working with complex multidimensional data and thrives on getting to the bottom of issues.
What you will need to succeed:
Benefits
Working at Etraveli Group means working at a fast-growing company with high ambitions in becoming the number one Online travel agency worldwide. The culture at the company embraces complexity and we like to keep the entrepreneurial spirit even as we grow into being a larger company. You will have awesome colleagues with whom you will have fun solving complex problems in a fast-moving business.
We also offer:
