Data scientist Profitability analytics to the Commercial analytics team

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Location: Sweden
Job type: Permanent
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ARE YOU A TRAVELER?

WE ARE LOOKING FOR A

Data scientist - Profitability analytics to the Commercial analytics team

Do you have an inner drive to understand how things really work, why they happen as they do and what that means for your next business move?

Do you like to understand both the complex whole and the details that create it?

Do you speak dependent and independent variables fluently?

Join us!

The Context

The Commercial analytics team is responsible for developing fact based and insightful customer, revenue, costs and product profitability analyses and recommendations.

The aim is to secure commercial decision making focused on total profitability. Commercial analytics is also responsible for customer research and for providing the rest of the organization with insight and key findings.

At its core, the department leverages on data (log and survey created) and analytics to reach company financial goals and optimize value offering to customers.

The Role

The Data scientist - Profitability analytics should evaluate financial effects of SAS offering and delivery options by analyzing and predicting macrotrends, customer behavior, market development and microeconomics of the SAS environment.

Main tasks:

* Follow-up and report profitability development in SAS

* Develop and maintain product profitability follow-up and testing

* Analyze larger data sets to identify key opportunities/ risks in value proposition/ delivery

* (e.g. revenue, customers, competitors, cost development, delivery, churn, etc.)

* Forecast market development, customer volumes and cost/ revenue effects

* Perform scenario and sensitivity analyses

* Create new ways of working within data analysis, using existing and new data sources

* Participate in development, testing and prioritization among SAS overall commercial strategies and future value proposition

* Work on the whole analysis process from start to finish and participate in development and requirement specification on new data

The Opportunities

This is a unique possibility to work with analytics from a holistic end to end business perspective – revenue, cost and customer driven. The Commercial analytics department supports the whole organization with Profitability and Customer insight analyses and in this role the right person will have the possibility to influence and get influenced by many different business areas.

The degree of impact is high, both as the role deals with crucial business insights, both also with regards to defining ways of working and focuses. SAS is in its early days in the advanced analytics agenda and the person holding the role as Data scientist - Profitability analytics will take key part in this development. In this role you will be part of building something new.

The role will collaborate closely with the customer researchers and BI analysts of the Commercial analytics department, but also with data scientists and data engineers within e.g. Operations, CRM and IT.

Who we are looking for

The right candidate has experience from working with statistical and financial modelling, data analysis and result communication. As the role is new it is important that the candidate is creative, but also confident enough within modelling and applying algorithms to be able to translate business issues to actionable results.

The right candidate has knowledge in main themes within micro economics/ behavioral economics, such as developing market demand/ supply estimations and concluding on profitability effects.

He/she is a true collaborator, who fully recognizes the different parts of value creation in a profit driven organization, and can communicate effectively with both the business- and tech side of the organization.

Experience from working with large data sets using SQL and extracting data by writing queries is a must. The candidate is also experienced with a set of languages such as SAS, Matlab, R, Python or similar, apart from Excel.

As a person, the right candidate:

* Seeks to understand both the complex whole and the minute parts that create it

* Is self motivated, persistent, curious and learning oriented

* Gets excited by commercial opportunities

* Actively seeks opportunities to develop professionally and as a person

The position is placed at SAS Headoffice in Solna, Stockholm.

If you have any questions, please contact Sofia Kördel, Head of Commercial Analytics, telephone: +.

Last day of application August 3rd, please apply by using the “Apply” button. All applications will be processed consecutively, so we ask you to send your application as soon as possible.

We are travelers – Come fly with us

What we offer?

Our employees are valued as our most important resource. To help you as an employee to reach your full potential, we focus on leadership and goal orientated team collaboration. Our ambition is to ensure the right conditions for continuous development of our business and our employees. We want you to grow and develop in your daily assignments, and to gain experience and knowledge to be able to seek new roles and opportunities within SAS.

As a SAS employee, you’ll enjoy flexible working conditions.

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About our Office

Frösundavik is a great place to work. There is a gym, restaurant, café and a variety of services to make your life easier. It’s located in a green area of Solna and close to Hagaparken and Brunnsviken. There’s a non-stop bus connection from the Central Station to Frösunda and commuter trains to/from Solna Station. Of course, cycling is another option and many of us enjoy the scenic route to the office every day.

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