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

We are seeking a curious, detail-oriented, and numbers-driven Data Insights Analyst / Junior Data Analyst / Data Analyst (Entry / Junior Level) to transform raw data into actionable business intelligence. In this analytical role, you will work closely with Senior Analysts, Product Managers, Marketing, Operations, and Finance teams to clean, query, visualize, and interpret complex datasets. You will be responsible for building intuitive dashboards, monitoring key business metrics (KPIs), running ad-hoc SQL queries to support cross-functional decision-making, and identifying trends or operational bottlenecks.

Responsibilities include writing optimized SQL queries, designing automated reporting pipelines in BI platforms, performing root-cause analysis on data discrepancies, and presenting clearly structured, data-driven recommendations to non-technical stakeholders. Success in this position requires strong quantitative problem-solving capabilities, technical proficiency with relational databases and visual analytics platforms, meticulous data validation habits, and an ability to translate complex numerical patterns into clear strategic insights.

Qualifications

- Education: Bachelor's degree or Diploma in Data Analytics, Computer Science, Statistics, Mathematics, Information Systems, Business Analytics, or a related quantitative field.
- Database & SQL Querying: Practical proficiency in writing clean, structured SQL queries (joins, aggregations, subqueries, and window functions) across relational databases (e.g., PostgreSQL, MySQL, SQL Server, BigQuery, or Snowflake).




- Business Intelligence & Data Visualization: Hands-on experience or academic projects using modern BI tools (e.g., Power BI, Tableau, Looker, or Google Looker Studio) to design user-friendly, interactive dashboards and automated reports.
- Data Wrangling & Statistical Programming: Foundational command of Python (Pandas, NumPy, Matplotlib/Seaborn) or R for data cleaning, statistical analysis, feature manipulation, and data transformation.
- Spreadsheet Analysis: Advanced skills in Microsoft Excel / Google Sheets (XLOOKUP/VLOOKUP, Pivot Tables, SUMIFS, agile arrays, and scenario modeling) for rapid ad-hoc data analysis.
- Data Quality & Validation: High attention to detail in verifying data integrity, identifying missing or corrupted records, and collaborating with data engineering teams to reconcile pipeline discrepancies.
- Business Acumen & Storytelling: Ability to contextualize raw figures into meaningful business performance stories, explaining key drivers behind revenue, user behavior, operational efficiency, and retention metrics.
- Analytical & Problem-Solving Aptitude: Strong logical agility to break down complex, ambiguous business questions into structured quantitative hypotheses and actionable diagnostic frameworks.
- Communication & Stakeholder Management: Excellent written and verbal presentation skills, with a proven ability to translate technical findings into explicit, jargon-free explanations for business team members.
- Professional Attributes: Eager learner, high ethical standards regarding data privacy/compliance, disciplined time management under multi-project deadlines, and a collaborative team-player mindset.

📌 Data Insights Analyst / Junior Data Analyst / Data Analyst (Entry / Junior Level) (New South Wales)
🏢 Gene Therapy Initiative at UC San Diego
📍 New South Wales