Data Analyst

What makes this different from all the other job ads you've been reading? Check us out: https://vimeo.com/825340966

• Come join a global media powerhouse
• Progressive and ambitious clients who want industry-leading work.
• Experienced and capable teams to accelerate your career.
• Industry leading leave entitlements including; Birthday Leave, Extra annual leave days and up to 16 weeks Paid Parental leave.
• Use of automation and robots to free up staff from repetitive manual tasks
• Family Inclusive Workplace
• Hybrid working policy including remote international opportunities.
• Agency perks including; early finish Fridays, culture club, breakfast, health and wellbeing initiatives, onsite gym, daily meditations, employee assistance programs.
• Ongoing L&D opportunities

The Role

This is an opportunity to work with an evolving, growth-focused business on winning and adding measurable, material value to our clients business.

You will be a Data Analyst building predictive and prescriptive analytics solutions that aim at delivering on key business initiatives, using machine learning, mathematics, and other techniques – developing a depth of industry technical experience. In this role you will support with the delivery of data solutions, including writing scripts for ETL and data harmonisation, setting up platform integrations and data pipelines and working within data clean rooms.

If you love solving problems with statistical theory, hands on coding, hacking, partnering with clients and thrive in a fast-paced and dynamic environment, this position is for you!

Key Responsibilities

• Strong experience in data management and quantitative analytics, with an emphasis on marketing mix modeling, advanced analytics, forecasting analysis is a core requirement for this role.
• Writing scripts and pulling data from multiple platforms, often requiring the harmonisation of 1st, 2nd and 3rd party data sources
• Build predictive models and machine-learning algorithm
• Analyse large amounts of information to discover trends and patterns
• Setting up platform integrations and data pipelines to enable improved data availability, portability and utility for various teams
• Working within data clean rooms to support sales and ROI measurement within walled gardens
• Present information using data visualization techniques

Who you are

• Graduate degree in Data Science, Mathematics, Computer Science or other quantitative field is preferred‍
• Experience in data mining, data systems and pipelines, and analysing and organising raw data
• Understanding of machine-learning and operations research
• Experience in R, SQL, Python and Excel
• Experience using business intelligence tools (e.g., Tableau)
• Analytical mind and business acumen
• Strong math skills (e.g., statistics, computational techniques)

Sounds like your next step? Apply to join the UM Australia team today.

Haven't heard of us? Check out our work at https://www.umww.com/

We value unique backgrounds and experiences to encourage and celebrate diversity. First Nations people, those identifying as LGBTQ+, people of all ages, people with disabilities, and people who are culturally and linguistically diverse are encouraged to apply. Our aim is to create a workforce that reflects the community in which we live. We further acknowledge there are unique barriers for trans & gender-diverse applicants. Please reach out to talentpipeline.sm@mbww.com to discuss any concerns in the recruitment process you may have. Please apply through the "apply" button - any applications sent to the above email address will not be considered.