Business Intelligence Analyst

7 days ago

Sydney, New South Wales, Australia Mediabrands Full time

Why Choose This Opportunity?

  • Join a leading global media organization.
  • Work with innovative and ambitious clients seeking top-tier solutions.
  • Collaborate with skilled teams dedicated to enhancing your professional growth.
  • Enjoy exceptional leave benefits, including Birthday Leave, additional annual leave days, and up to 16 weeks of Paid Parental Leave.
  • Leverage automation and technology to minimize repetitive tasks.
  • Experience a family-friendly workplace culture.
  • Benefit from a hybrid work model with remote international opportunities.
  • Take advantage of agency perks such as early finish Fridays, culture clubs, complimentary breakfast, health and wellness initiatives, an onsite gym, daily meditation sessions, and employee assistance programs.
  • Access continuous learning and development opportunities.

The Role

This position offers a chance to engage with a dynamic, growth-oriented organization focused on delivering significant value to clients.

As a Business Intelligence Analyst, you will develop predictive and prescriptive analytics solutions aimed at fulfilling critical business objectives. Utilizing machine learning, mathematical techniques, and other methodologies, you will cultivate a deep technical expertise within the industry. Your responsibilities will include delivering data solutions, crafting scripts for ETL and data harmonization, establishing platform integrations, and managing data pipelines while working within secure data environments.

If you have a passion for problem-solving through statistical analysis, hands-on programming, collaboration with clients, and thrive in a fast-paced, dynamic setting, this role is tailored for you.

Key Responsibilities

  • Demonstrate strong expertise in data management and quantitative analysis, particularly in marketing mix modeling, advanced analytics, and forecasting.
  • Write scripts and extract data from various platforms, often requiring the integration of first, second, and third-party data sources.
  • Develop predictive models and machine learning algorithms.
  • Analyze extensive datasets to identify trends and patterns.
  • Establish platform integrations and data pipelines to enhance data accessibility, portability, and utility across teams.
  • Operate within secure data environments to support sales and ROI assessment.
  • Present findings using data visualization techniques.

Who You Are

  • Possess a graduate degree in Data Science, Mathematics, Computer Science, or a related quantitative field.
  • Have experience in data mining, data systems, and pipeline management, as well as organizing and analyzing raw data.
  • Understand machine learning principles and operations research.
  • Proficient in R, SQL, Python, and Excel.
  • Familiar with business intelligence tools (e.g., Tableau).
  • Exhibit strong analytical skills and business insight.
  • Possess solid mathematical abilities (e.g., statistics, computational techniques).

Ready to Take the Next Step?

We value diverse backgrounds and experiences, encouraging individuals from all walks of life to apply. Our goal is to create a workforce that mirrors the community we serve. We recognize the unique challenges faced by trans and gender-diverse applicants and invite you to discuss any concerns you may have regarding the recruitment process.

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