Analytics Specialist

JOB TITLE: Analytics Specialist

REPORTING TO: Head of Workplace Planning & Insights

LOCATION: Amman, Jordan

WORKING HOURS: Flexible to accommodate Australia working hours

START DATE:  November 2026

About the Role

We are looking for a curious, self-driven and commercially minded Data Scientist / Analytics Specialist to help turn data into actionable insights. Working with a range of stakeholders, you will apply data science, statistical analysis and modern analytics techniques to solve business problems, inform decision-making and support strategic initiatives.

This role would suit someone who enjoys learning, is comfortable working with ambiguity and can communicate complex concepts in a simple, engaging way.

Key Responsibilities

• Work with cloud-based data platforms , write and optimise SQL and Python code to extract, transform and analyse data.
• Analyse large and complex datasets to identify trends, opportunities and business insights.
• Build data-driven reporting and visualisation solutions to uncover insights, tell compelling stories, and enable informed decision-making.
• Develop, test and deploy AI/ML and statistical models to solve business challenges.
• Support the development of data pipelines, where required.
• Partner with stakeholders to understand business problems, translate requirements and communicate findings in a clear and practical way.

What You'll Bring

Essential Skills & Experience

• Experience using SQL and Python for data analysis and problem solving.
• Experience working with cloud-based data platforms (for example Azure, AWS or BigQuery).
• Knowledge of data science, machine learning or statistical analysis techniques.
• Strong communication, stakeholder engagement and problem-solving skills, with and ability to explain technical concepts to non-technical audiences.
• A curious mindset with a passion for learning and continuous improvement.

Desirable Skills

• Experience developing and maintaining ETL/data pipelines.
• Understanding of data engineering principles and best practices.
• Experience with data visualisation tools such as Tableau or Power BI.

Experience

• Typically 2-4+ years of relevant professional experience.
• Those with less experience, including graduates, with strong technical capability, curiosity, communication skills and a demonstrated ability to learn quickly are encouraged to apply.

Working Arrangements

• This position is ideally full-time, but we welcome applications from candidates seeking part-time work.
• Flexible working arrangements available.
• The role requires availability for early morning meetings to support collaboration across multiple time zones.

Success Profile

The ideal candidate is:

• Curious and proactive.
• Comfortable learning new tools and technologies.
• Strong communication skills, building relationships and influencing stakeholders.
• Analytical, pragmatic and outcome focused.
• Enthusiastic about solving real business problems with data.

Note: We are more interested in strong foundations in data, analytics and problem solving than experience with specific tools. If you have the core technical skills and learning mindset, we can help you develop the rest.