Data Analyst

Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT software development SAP purchasing electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Swedens most complex and analytically demanding projects. Our focus is always on high quality professionalism and clear measurable results.

We are now seeking a Data Analyst for one of our clients.

About the assignment:

We are looking for a senior Data Scientist consultant to develop analytical models and decision-support tools for electric vehicle asset management pricing residual value lifecycle planning and portfolio risk.

The assignment combines data science business understanding and practical engineering. The consultant should be able to take ownership of broad and sometimes ambiguous problems turn analysis into usable tools or model services and communicate results clearly to both technical and non-technical stakeholders.

Prior experience from electric vehicles batteries leasing or asset management is valuable but not required. The most important requirements are strong data science capability practical implementation skills and senior judgement.

Responsibilities
Develop and maintain models for usage remaining useful life residual value pricing lifecycle forecasting and portfolio risk
Translate operational vehicle and business data into practical recommendations
Define test and document model assumptions limitations and uncertainty
Build analytical prototypes simulations dashboards APIs or other decision-support tools
Work with data engineering to ensure reliable data data quality checks and trustworthy outputs
Productionize models through scheduled jobs cloud functions APIs tests versioning and monitoring where relevant
Support customer finance sales product and partner discussions with clear data-driven analysis
Create structure in ambiguous problem areas and help drive work forward in a small team
Education (Must Have / Nice To Have)
Must Have:

Bachelors or Masters degree in data science computer science statistics engineering economics or a related field
Experience (Must Have / Nice To Have)
Must Have:

Strong Python skills for modelling data analysis testing and production-quality code
Strong SQL skills and experience working with analytical data platforms
Experience building models or analytical tools that support real business decisions
Experience taking ownership from business problem to analysis model implementation and stakeholder adoption
Cloud experience such as deploying or operating data products APIs scheduled jobs model services or similar workloads
Ability to work with imperfect data and make sound judgements about data quality assumptions and business impact
Practical engineering mindset with the ability to move from analysis to working tools or services
Clear communication with both technical and business stakeholders
Nice To Have:

Experience with electric vehicles batteries telematics battery health remaining useful life leasing residual value or asset management
AWS experience
Experience with CI/CD infrastructure-as-code automated testing versioning or monitoring
Experience with pricing forecasting financial modelling risk metrics or portfolio analytics
Experience building internal tools dashboards simulations model APIs or decision-support applications
Language
English (working language)
Personal / Soft Skills
Senior individual contributor with strong self-leadership
Takes initiative and creates structure in unclear problem areas
Pragmatic and analytical
Able to balance model quality speed and business usability
Able to challenge assumptions constructively
Communicates complex topics clearly
Comfortable working in a small team with broad responsibilities
Other Specifications
The consultant is expected to help turn analysis and models into credible maintainable and usable tools or services
The role requires senior judgement ownership and delivery capability more than narrow prior domain knowledge

Other Information:

Start Date: ASAP

Assignment Period: 6 Months

Location: SwedenStockholms län Stockholm (STOCKHOLM)

Last date to apply:

Are you the right person for the assignment or do you want to recommend a strong candidate Do not hesitate to contact us.

Please apply directly through our system with:

- Your updated CV in english

- Availability to start the assignment

In the motivation describe why you are suitable for this assignment - refer to previous consulting assignments employmxent education and personal qualities.

Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid.

Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested we recommend that you apply immediately.