Let’s be unstoppable together!

Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data® platform help clients measure market share, uncover consumer behavior, and drive growth—powered by six decades of expertise and an expansive, high-quality data set.

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. Learn more at

Role Overview

As a Statistical Analyst, reporting to Measurement Science Supervisor, you will be responsible for coordinating and performing activities in order to meet key deadlines while maintaining and ensuring quality of services. As Statistical Analyst works with large datasets, turning data into insight, the role requires attention to detail and great collaboration and communication skills.

Job Responsibilities

Defines, validates & maintains sample for all deliverable services.
Analyses data in order to achieve the optimal Market estimation.
Monitors & evaluates Market Trends so as to ensure the quality of services.
Masters the measures’ definitions and answers related data queries from local client-facing teams.
Supports and evaluates new product development by executing various data simulations.
Automation and optimization of existing processes.
Utilizes client feedback to deploy continuous improvement.

Requirements

A minimum of a Master’s degree (MSc) in Statistics, Econometrics, Operational Research or similar quantitative field of study
Very good knowledge of one or more of the following: SAS, R or Python
Excellent command of MS Office Suite
Highly numerate with excellent problem solving skills, self-driven quick learner and genuine interest inattention to detail and quality.
Previous working experience in a relevant role, preferably in FMCG sector would be considered an asset
Excellent written and verbal skills in English alongside with excellent communication and interpersonal skills to converse effectively across the organization
Ability to meet tight deadlines, multi-task efficiently and work under pressure
Efficient in working both independently and as part of a team

Circana Behaviors

Beyond technical skills, experience, and role-specific attributes, these shared behaviors are fundamental to our culture and success. We seek individuals who consistently demonstrate and champion these behaviors in their daily work:

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): Athens, Greece (Hybrid)

#LI-MA1

Summary

Senior BI - Data Analyst

Business Analyst I

Business Analyst

Performance & KPI Analyst

Statistical Analyst

M&A Insurance Analyst

See also