Data Insights Analyst / Junior Data Analyst (Entry / Junior Level)

Role Description We are seeking an analytical, business-minded, and detail-driven Data Insights Analyst / Junior Data Analyst to translate raw operational data into meaningful performance insights and actionable business recommendations. In this entry-to-junior level position, you will work closely with Data Engineers, Business Unit Managers, Marketing Leads, and Financial Analysts to evaluate key operational metrics and identify strategic opportunities.

You will be responsible for querying central data repositories, developing intuitive business intelligence dashboards, running root-cause analysis on trend fluctuations, and tracking core performance indicators (KPIs).

Responsibilities include automating recurring performance reporting, verifying data consistency across cross-functional platforms, presenting narrative-driven summaries to stakeholders, and supporting exploratory data projects. Success in this position requires a strong commercial acumen, solid proficiency in SQL and BI platforms, sharp diagnostic thinking, clear communication skills, and the ability to bridge technical data with business goals.

Qualifications

- Education: Bachelor's degree in Data Analytics, Business Analytics, Statistics, Information Systems, Economics, Industrial Engineering, or a related quantitative field.
- SQL Querying & Data Extraction: Practical experience writing structured SQL queries (joins, aggregations, CTEs, and conditional logic)



to extract and manipulate large datasets from enterprise relational databases.
- Business Intelligence & Dashboards: Hands-on experience designing intuitive, user-friendly reports and dashboards using modern BI tools (e.g., Power BI, Tableau, Looker Studio, or Metabase).
- Spreadsheet Analytics & Modeling: Advanced skills in Microsoft Excel / Google Sheets (XLOOKUP, Pivot Tables, SUMIFS, nested logic, dynamic arrays, and scenario modeling).
- Business Metric Interpretation: Understanding of core commercial and operational KPIs (e.g., customer retention, churn, ROI, conversion rates, lifetime value, and variance analysis).
- Data Cleansing & Diagnostic Analysis: Proficiency in data normalization, identifying data anomalies, performing root-cause analyses, and validating data across disparate systems.
- Scripting Skills (Optional / Advantage): Exposure to Python or R for exploratory data analysis, data manipulation (Pandas), or automated data processing workflows.
- Data Storytelling & Stakeholder Communication: Ability to translate complex quantitative trends into transparent, non-technical business narratives and actionable recommendations.
- Documentation & Data Quality: Commitment to maintaining detailed data dictionaries, query documentation, and standard operating procedures for data governance.
- Professional Attributes: High analytical curiosity, critical thinking, structured problem-solving discipline, and a collaborative team orientation.

📌 Data Insights Analyst / Junior Data Analyst (Entry / Junior Level) (New South Wales)
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📍 New South Wales