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Data Enthusiast

2 weeks ago


Sydney, New South Wales, Australia beBeeDataAnalyst Full time $60,000 - $95,000

We are seeking a data enthusiast to collaborate with our team of professionals in Melbourne/Sydney. This is an exciting opportunity to launch your career in a dynamic field, working alongside experienced consultants on impactful projects.

About the Role

You will be responsible for developing tailored data and analytics solutions for clients, utilizing problem-solving skills to optimize the use of data.

  • Key Responsibilities:
  • Data Modeling: Assist in designing, developing, and maintaining data models to address both internal and client-specific analytics needs.
  • ETL Development: Work with data engineers to build efficient ETL/ELT pipelines, transforming raw data into usable datasets.
  • Data Transformation: Apply tools like dbt and Matillion for SQL-based transformations to deliver clean, organized datasets for analysis.
  • Analytics Solutions: Collaborate with senior consultants and business intelligence teams to ensure seamless integration of analytics tools with data sources.
  • Data Quality & Governance: Maintain data accuracy through testing and governance protocols.
  • Client Engagement: Work with clients under the guidance of senior team members to understand their challenges and contribute to the development of technical solutions.

About You

We are looking for a recent graduate with a strong academic background in data analytics, computer science, information systems, or a related field.

  • Required Skills & Experience:
  • Proficiency in SQL and familiarity with data transformation tools.
  • Exposure to cloud platforms such as Snowflake, BigQuery, Fabric, or Databricks.
  • Understanding of ETL/ELT processes.
  • Basic skills in building data visualizations and dashboards using tools like Tableau, Power BI, or Looker.
  • Strong communication skills, with the ability to explain technical concepts to non-technical audiences.

Bonus Skills

  • Experience or coursework in machine learning or advanced data science techniques.

About Us

We pride ourselves on bridging the gap between people, processes, and technology to deliver innovative solutions.

Next Steps

We would love to hear from you Please submit your resume.

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