Modelling Statistician
Let's be unstoppable together
At Circana, we are fueled by our passion for continuous learning and growth, we seek and share feedback freely, and we celebrate victories both big and small in an environment that is flexible and accommodating to our work and personal lives. We're a global company dedicated to fostering inclusivity and belonging. We value and celebrate the unique experiences, cultures, and viewpoints that each individual brings. By embracing a wide range of backgrounds, skills, expertise, and beyond, we create a stronger, more innovative environment for our employees, clients, and communities. With us, you can always bring your full self to work. Join our inclusive, committed team to be a challenger, own outcomes, and stay curious together. Circana is proud to be Certified by Great Place To Work. This prestigious award is based entirely on what current employees say about their experience working at Circana.
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What will you be doing?
As a Modelling Statistician your role will be to use existing proprietary software as well as open-source languages to build reproducible statistical models that can explain business problems and drive decisions.
Job Responsibilities
* Collaborating with business specialists across different teams, including technical consultants, to interpret requirements and understand the business objectives.
* Collecting, retrieving, and understanding large datasets (big data).
* Uploading data files into data platform.
* Analyzing data, setting models, and assessing their quality in terms of business sense.
* Actively participating in project meetings/calls with local Circana teams.
* Monitoring modelling process and performance.
* Handling multiple projects simultaneously to meet objectives/key deadlines.
* Communicating results and recommendations to Local teams and technical consultants.
* Inputs preparation for company's visualization and simulation applications, as well as QA (checking that applications work as expected).
Requirements
* MSc degree in Statistics, or similar quantitative field of study
* University degree (BSc) in Statistics, Mathematics, Economics or any relevant field
* Background / working experience in statistical modeling (i.e., linear, GLM etc.) or econometric models
* Excellent command of MS Office Suite, MS Excel in particular
* Hands-on experience with handing and manipulating data from multiple sources and integrate them into a single source view/report/dataset would be appreciated
* Ability to visualize modelling results into charts in order to easily evaluate modeling outcome
* Experience with R, Python, SQL will be considered a plus
* Experience in VBA will be considered a plus
* Fluency in verbal and written English is essential
* Ability to interpret modeling results into business insights
* Ability to meet tight deadlines and multi-task efficiently
* Eager to learn and grow and positive aptitude
Circana Behaviors
As well as the technical skills, experience and attributes that are required for the role, our shared behaviors sit at the core of our organization. Therefore, we always look for people who can continuously champion these behaviors throughout the business within their day-to-day role:
* Stay Curious: Being hungry to learn and grow, always asking the big questions.
* Seek Clarity: Embracing complexity to create clarity and inspire action.
* Own the Outcome: Being accountable for decisions and taking ownership of our choices.
* Center on the Client: Relentlessly adding value for our customers.
* Be a Challenger: Never complacent, always striving for continuous improvement.
* Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect, and integrity.
* Commit to each other: Contributing to making Circana a great place to work for everyone.
Location
This position can be located in the following area(s): Greece
Prospective candidates may be asked to consent to background checks (in accordance with local legislation and our candidate privacy notice ) Your current employer will not be contacted without your permission.
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