Data Analyst - Python

Job Title

Data Analyst - Python

Full time/Permanent

Arsenault is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, nobody knows people better than Arsenault. We provide insight and inspiration to help our clients, our people and society to create and flourish in an extraordinary world.

Our media colleagues are experts in understanding the changing media landscape. This includes audience measurement, consumer targeting and in-depth intelligence into paid, owned and earned media. Their global coverage and local expertise enable clients to better understand media audiences and their relationships with brands to optimise investment.

Within the Data Science team, the data analyst supports other data scientists and developers with necessary data queries and runs periodic Quality Control analyses on live services. Critical thinking, analytical mind and clear communication are crucial as the data queries and checks should be mostly initiated and designed by the data analyst to facilitate the modelling workflow, and then communicated to the rest of the team.

Responsibilities

• Strong understanding of numerical and data analytical skills
• Data investigation for quality and completeness of model input data
• Able to spot anomalies and gain conclusions
• Quality control of modelling outcome data for generic models and client specific applications
• Support with clients liaison on technical issues
• Represent the business at industry events

Qualifications

• Intermediate level of programming with Python (preferable), or other programming languages (e.g., R, MATLAB)
• Strong communication capabilities (peers and, occasionally, clients)
• Capability of taking initiative, working independently, driving results
• Attention to details and accuracy
• Critical thinking

• Bachelors degree in a highly numerate discipline
• Excellent understanding of mathematical and statistical concepts

We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and wellbeing is taken into consideration. We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.