Data Analyst

6 hours ago

Sydney, New South Wales, Australia ProfilesPk Full time $60,000 - $100,000 per year

Role Description:

The Data Analyst plays a key role in supporting business decisions by collecting, organizing, and interpreting data across various operational and strategic functions. This role involves analyzing large datasets, identifying trends, and transforming complex information into clear, actionable insights. The Data Analyst collaborates closely with business units, management teams, and technical stakeholders to deliver meaningful reports, dashboards, and data models that support performance monitoring and process improvement.

Primary responsibilities include conducting data cleaning and validation, performing statistical or exploratory analysis, and developing visualizations that simplify insights for non-technical audiences. The Data Analyst also assists with building automated reporting tools, preparing business performance summaries, and supporting research or special projects that rely on data-driven evidence. This role requires a detail-oriented mindset, strong problem-solving skills, and the ability to convert raw data into meaningful narratives that guide decision-making.

The position is ideal for individuals who enjoy working with data, uncovering patterns, and supporting strategic initiatives through measurable insights. It also provides opportunities to work with modern analytics tools and contribute to organizational growth through improved data efficiency and clarity.

Qualifications:

  • Bachelor's degree in
    Data Science
    ,
    Statistics
    ,
    Mathematics
    ,
    Computer Science
    ,
    Economics
    ,
    Business
    , or a related field.
  • Strong analytical and quantitative skills with the ability to interpret data and identify key insights.
  • Proficiency in Excel or Google Sheets, including functions, pivot tables, and basic data modeling.
  • Experience or familiarity with tools such as
    SQL
    ,
    Python
    ,
    R
    ,
    Power BI
    , or
    Tableau
    is an advantage.
  • Understanding of data cleaning, validation, and transformation techniques.
  • Ability to create dashboards, reports, and visualizations for both technical and non-technical users.
  • Strong attention to detail and the ability to work with large datasets accurately.
  • Good communication skills, particularly in presenting findings and explaining analysis clearly.
  • Ability to collaborate with cross-functional teams and support data-driven projects.
  • Knowledge of statistical methods, business intelligence concepts, or analytics workflows is beneficial.
  • Certifications such as
    Google Data Analytics
    ,
    Tableau Analyst
    , or
    Microsoft Power BI
    are a plus.

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