Data Analyst / Junior Data Analyst

Role Description We are seeking an analytical, curious, and detail-driven Data Analyst / Junior Data Analyst to transform raw data into actionable business insights, build clear visual dashboards, and support data-informed decision-making across the organization. In this entry-to-junior level role, you will work closely with Senior Data Analysts, Data Engineers, Analytics Managers, and Cross-Functional Business Leads to collect, clean, model, and interpret complex datasets. You will be responsible for extracting data from relational databases, conducting exploratory data analysis, identifying trends or anomalies, and building automated dashboards for routine reporting.

Responsibilities include writing SQL queries to pull multi-source data, developing key performance indicator (KPI) tracking models, performing root-cause analysis on operational metrics, and presenting clear data stories to non-technical stakeholders. Success in this position requires high numerical aptitude, strong logical reasoning, proficiency with relational databases, visualization software, and statistical methods, sharp attention to detail, and a structured, inquisitive approach to problem-solving.

Qualifications

- Education: Bachelor's degree or Diploma in Data Analytics, Data Science, Statistics, Mathematics, Computer Science, Economics, Business Information Systems, or a related quantitative field.
- Core Data Analytics Foundations: Solid understanding of data manipulation, quantitative analysis, descriptive statistics, hypothesis testing, and exploratory data analysis (EDA) techniques.
- Database & SQL Querying:



Proficiency in writing clean, efficient SQL queries (SELECT, JOINs, GROUP BY, Aggregate functions, Subqueries, CTEs, and window functions) to extract and manipulate large datasets from relational databases (e.g., PostgreSQL, MySQL, MS SQL Server, or Snowflake).
- Data Visualization & BI Tools: Hands-on experience developing interactive dashboards, reports, and visual stories using business intelligence tools such as Power BI, Tableau, or Google Looker Studio.
- Advanced Spreadsheet Skills: Mastery of Microsoft Excel / Google Sheets (INDEX/MATCH, XLOOKUP, Pivot Tables, SUMIFS, statistical calculations, and data validation) for rapid modeling and ad-hoc analysis.
- Data Wrangling & Scripting: Practical exposure to data manipulation libraries using Python (Pandas, NumPy, Matplotlib) or R for automated data cleaning, processing, and visualization.
- Business Acumen & Metric Design: Ability to understand business goals, define clear KPIs, and translate high-level business queries into structured analytical workflows.
- Data Governance & Integrity: High attention to detail regarding data accuracy, handling missing or messy data gracefully, and maintaining strict data hygiene and confidentiality standards.
- Communication & Data Storytelling: Excellent verbal and written communication skills to articulate complex analytical findings, explain technical methods, and present actionable recommendations clearly to non-technical audiences.
- Professional Attributes: Solid critical thinking skills, self-motivated curiosity, excellent time management, and a collaborative, problem-solving mindset.

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📌 Data Analyst / Junior Data Analyst (Entry / Junior Level) (New South Wales)
🏢 ITEHAD CAD CAM
📍 New South Wales