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Data Analyt

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Remote

Data Analyt

Atlantic

Data Analyt

Skills

SQL QueriesLookerTableauPythonData VisualizationTesting & QARData AnalysisCRMProcess ImprovementPower BI

1 month ago

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Important information


Contract type:

Permanent

Location:

Australia

Work mode:

Remote

Published on:

14 September 2026

What they need


📊 We’re Hiring: Data Analyst (Entry-Level / Junior / Associate)

📍 Remote – Australia

🕒 Full-Time

💼 Level: Entry-Level / Junior / Associate

We’re looking for a curious, analytical, and detail-oriented Data Analyst to support data-driven decision-making across the business. This role is ideal for an early-career professional who enjoys working with data, identifying trends and patterns, building reports and dashboards, and turning complex information into clear and actionable business insights.

🎯 Key Responsibilities

  • Collect, clean, validate, and analyse data from multiple sources
  • Prepare and maintain accurate datasets, reports, and analytical models
  • Analyse business performance, trends, customer behaviour, and operational metrics
  • Develop and maintain dashboards, reports, and data visualisations
  • Monitor key performance indicators (KPIs) and identify trends, anomalies, and opportunities
  • Translate business questions into data-driven analysis and insights
  • Conduct ad-hoc data analysis to support business and strategic initiatives
  • Prepare clear summaries and presentations of analytical findings for stakeholders
  • Identify data quality issues and work with relevant teams to resolve them
  • Support forecasting, performance analysis, and business planning activities
  • Collaborate with finance, marketing, sales, operations, product, and technology teams
  • Assist with data automation and process improvement initiatives
  • Document data sources, analytical processes, methodologies, and reporting requirements
  • Support the development and implementation of data-driven solutions
  • Stay informed about data analytics tools, technologies, and best practices

✅ Requirements

  • Entry-Level / Junior / Associate level, with 0–3+ years of experience
  • Internships, graduate experience, academic projects, or relevant practical experience are welcome
  • Degree or relevant studies in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, Economics, Finance, Information Systems, or a related field is advantageous
  • Strong analytical and problem-solving skills
  • Good understanding of data analysis concepts and methodologies
  • Strong attention to detail and commitment to data accuracy
  • Ability to interpret data and communicate insights clearly
  • Strong written and verbal communication skills
  • Good organisational and time-management skills
  • Ability to manage multiple priorities and meet deadlines
  • Comfortable working independently in a remote-first environment
  • Strong willingness to learn new tools and technologies
  • Fluent in English
  • Based in Australia with full working rights in Australia

🌟 What We Offer

  • Fully remote role within Australia
  • Hands-on experience across data analytics, reporting, and business intelligence
  • Exposure to real-world business data and strategic decision-making
  • Opportunities to work with cross-functional teams and senior stakeholders
  • Career growth opportunities toward Senior Data Analyst, Business Analyst, BI Analyst, Product Analyst, Data Scientist, or Analytics Manager roles
  • Collaborative, supportive, and growth-oriented work culture
  • Flexible and remote-first working environment
  • Competitive salary and benefits package
  • Professional development and ongoing learning opportunities

🚀 Preferred Qualifications (Nice to Have)

  • Proficiency in Microsoft Excel , including PivotTables, XLOOKUP, SUMIFS, and data analysis
  • Experience with SQL and relational databases
  • Familiarity with Power BI, Tableau, Looker, or similar business intelligence tools
  • Basic knowledge of Python or R for data analysis
  • Experience with data visualisation and dashboard development
  • Familiarity with statistical analysis and data modelling
  • Experience working with large datasets and multiple data sources
  • Knowledge of data cleaning, validation, and quality assurance
  • Familiarity with cloud data platforms or data warehouses is advantageous
  • Experience with CRM, ERP, or other business systems
  • Previous experience working with remote or distributed teams

🚀 Career Opportunity

This is a great opportunity for an early-career professional looking to develop practical experience across data analysis, SQL, business intelligence, data visualisation, reporting, and data-driven decision-making .

  • If you’re curious about data, enjoy solving problems, and want to turn numbers into meaningful business insights, we’d love to hear from you.

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