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

Role Description We are seeking an analytical, curious, and detail-oriented Data Analyst / Junior Data Analyst to collect, clean, and analyze operational data to drive informed business decisions. In this entry-to-junior level role, you will work closely with Data Engineers, Product Managers, Finance Leads, and Department Heads to turn complex datasets into actionable business insights. You will be responsible for extracting data from relational databases, building interactive dashboards, running recurring performance reports, and identifying trend anomalies.

Responsibilities include validating data accuracy, documenting data definitions, creating ad-hoc SQL queries, assisting with data pipeline maintenance, and presenting key findings to non-technical stakeholders. Success in this position requires a strong quantitative mindset, solid proficiency in SQL and spreadsheet modeling, hands-on experience with Business Intelligence (BI) tools, transparent communication skills, and a structured approach to problem-solving.

Qualifications

- Education: Bachelor's degree in Data Analytics, Computer Science, Statistics, Information Systems, Mathematics, Economics, or a related quantitative field.
- SQL & Database Fundamentals: Working knowledge of SQL for querying relational databases (e.g., PostgreSQL, MySQL, MS SQL Server, or Snowflake), including joins, aggregations, subqueries, and data filtering.




- Data Visualization & BI Tools: Practical experience creating interactive dashboards and visualizations using BI software (e.g., Power BI, Tableau, Looker Studio, or Metabase).
- Spreadsheet Modeling & Analytics: Advanced proficiency in Microsoft Excel / Google Sheets (INDEX/MATCH, XLOOKUP, Pivot Tables, conditional formatting, and variance modeling).
- Data Cleansing & Validation: Knowledge of data wrangling practices to identify missing values, deduplicate records, normalize datasets, and maintain data integrity.
- Basic Programming / Scripting: Familiarity with Python or R (using packages such as Pandas, NumPy, or ggplot2) for data manipulation and exploratory data analysis is a strong plus.
- Statistical Concepts: Understanding of basic statistical metrics (mean, median, variance, percentile, correlation) and standard business metrics (e.g., churn rate, retention, ROI, CAC).
- Business Communication & Presentation: Ability to translate quantitative findings into clear, concise written summaries and visual stories for non-technical team members.
- Documentation & Data Governance: Discipline to maintain clean data dictionaries, query documentation, and standard operating procedures for recurring reports.
- Professional Attributes: Strong analytical curiosity, high precision, proactive critical thinking under deadlines, and a collaborative mindset.

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📌 Data Analyst / Junior Data Analyst (Entry / Junior Level) (New South Wales)
🏢 User Experience Review
📍 New South Wales